Courses2024

Free Download Professional Logo Production With Artificial Intelligence Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 216.06 MB | Duration: 0h 30m Professional Logo Production With Artificial Intelligence-GENAI What you'll learn Use of Artificial Intelligence Logo Production Applications Use of Artificial Intelligence Visual Production Applications Active or Passive Income Generation Systems with Artificial Intelligence Studies Prompt Engineering Business Models that can be done with Artificial Intelligence Content Production with Artificial Intelligence Prompt Engineering for Logo Production with Artificial Intelligence Requirements Beginner Level Description EducationProfessional Logo Production With Artificial Intelligence-GENAIPlanned in 2 Sections and 13 TitlesChapter OneIntroduction1-Introduction Professional Logo Production With Artificial Intelligence-GENAI2-How Much Income Can You Earn By Selling Logo Professional Logo Production With Artificial Intelligence-GENAI3-Logo Sales Platforms Professional Logo Production With Artificial Intelligence-GENAI4-Is There a Copyright Problem in Logo Designs Professional Logo Production With Artificial Intelligence-GENAIChapter TwoProfessional Logo Production With Artificial Intelligence5-Which Artificial Intelligence Platform to Use Professional Logo Production With Artificial Intelligence-GENAI6-Introduction to Artificial Intelligence Platform Professional Logo Production With Artificial Intelligence-GENAI7-Making Logo Production Settings in Artificial Intelligence Platform Professional Logo Production With Artificial Intelligence-GENAI8-How to Write a Detailed Prompt for Logo Design Professional Logo Production With Artificial Intelligence-GENAI9-Logo Production Work I Professional Logo Production With Artificial Intelligence-GENAI10-Logo Production Work II Professional Logo Production With Artificial Intelligence-GENAI11-Logo Production Work III Professional Logo Production With Artificial Intelligence-GENAI12-How to Remove Background from Produced Logos Professional Logo Production With Artificial Intelligence-GENAI13-How to Make Logo Productions in Different Styles Professional Logo Production With Artificial Intelligence-GENAIOur training has been planned and prepared within the scope of the above sectionsProfessional Logo Production With Artificial Intelligence-GENAIWe wish success to all our parti[beeep]ting students. FE AcademyContinue to Follow Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 How Much Income Can You Earn By Selling Logo Lecture 3 Logo Sales Platforms Lecture 4 Is There a Copyright Problem in Logo Designs Section 2: Professional Logo Production With Artificial Intelligence Lecture 5 Which Artificial Intelligence Platform to Use Lecture 6 Introduction to Artificial Intelligence Platform Lecture 7 Making Logo Production Settings in Artificial Intelligence Platform Lecture 8 How to Write a Detailed Prompt for Logo Design Lecture 9 Logo Production Work I Lecture 10 Logo Production Work II Lecture 11 Logo Production Work III Lecture 12 How to Remove Background from Produced Logos Lecture 13 How to Make Logo Productions in Different Styles Those Interested in Artificial Intelligence Programmes,Those who want to produce content with Artificial Intelligence,Those Interested in Artificial Intelligence Technologies,Those who want to produce images with Artificial Intelligence,Those who want to produce a logo with Artificial Intelligence,Those Who Want to Earn Income with Artificial Intelligence Homepage https://www.udemy.com/course/professional-logo-production-with-artificial-intelligence/ Rapidgator https://rg.to/file/23e92ae440b67f463d6a27509cc30c7c/lxckx.Professional.Logo.Production.With.Artificial.Intelligence.rar.html Fikper Free Download https://fikper.com/cAqEtfTwts/lxckx.Professional.Logo.Production.With.Artificial.Intelligence.rar.html No Password - Links are Interchangeable

Free Download Professional Life Coach Certification (Accredited) (2024) Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.90 GB | Duration: 2h 10m Become a Certified Life Coach What you'll learn How to build a growing coaching business with several clients. Work with your clients to set and reach achievable goals. Structure your coaching business, integrate packages, sessions. Learn how to market your Life Coaching practice and make it a thriving business. Utilize proven life coaching best practices including step-by-step processes. Expansive knowledge about Life Coaching that will give you the confidence to be successful. Requirements No previous experience required. Description Life Coaching Certification Course:Module 1: Introduction and History of Life Coaching. We are going to cover the important history and aspects of life coaching that will be the foundation of your training.Module 2: Types of Life Coaching. In this extensive guide, we'll journey through various coaching techniques, their origins, benefits, and practical applications.Module 3: Explore the scientific benefits of regular Life Coaching. We'll uncover how consistent coaching practice can profoundly impact various aspects of our clients' lives and well-being.Module 4: Establishing a Coaching Practice. In this module, we will focus on building a consistent coaching practice by exploring key concepts like creating a supportive coaching environment, setting clear intentions and goals, and overcoming common challenges. A well-structured coaching practice is the cornerstone of transformative client work.Module 5: Advanced Coaching Techniques. In this module, we will dive deep into some of the most powerful and time-honored forms of coaching. These practices have been cultivated over many years and offer profound pathways to personal transformation. By the end of this module, you will have a deeper understanding of these advanced techniques and, more importantly, how to integrate them into your own practice for both your clients' growth and practical daily benefits.Module 6: Becoming a Life Coach. This module is designed to guide you through every essential aspect of stepping into the role of a life coach. Not only will you be helping others on their personal development journeys, but you will also take on the responsibility of ensuring that your practice is ethical, professional, and compassionate.Module 7: Building Your Life Coaching Practice-Marketing and Business Essentials. In this comprehensive module, we will explore the crucial elements involved in establishing and growing a successful life coaching business. This journey will require dedication, self-reflection, and a clear understanding of the market you intend to serve.Module 8: Success as a Life Coach. In this final module, we will take a moment to reflect on the transformative journey we have undertaken together. We will also explore the exciting opportunities that lie ahead for you as a certified life coach as you prepare to embark on this meaningful path. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Module 2 Lecture 2 Introduction and History of Life Coaching Section 3: Module 3 Lecture 3 Types of Life Coaching Section 4: Module 4 Lecture 4 Establishing a Coaching Practice Section 5: Module 5 Lecture 5 Advanced Coaching Techniques Section 6: Module 6 Lecture 6 Becoming a Life Coach Section 7: Module 7 Lecture 7 Building Your Life Coaching Practice Section 8: Module 8 Lecture 8 A Successful Life Coaching Practice Section 9: Final Exam Lecture 9 Final Exam This course is for students wanting to start a new career as a Certified Life Coach Screenshot Homepage https://www.udemy.com/course/professional-life-coach-certification-accredited/ Rapidgator https://rg.to/file/4a10bab4d1bf6a170d1c74a95e4e0ae4/qvqsb.Professional.Life.Coach.Certification.Accredited.2024.part2.rar.html https://rg.to/file/85917a5a8611e64dac18cd11d134f62b/qvqsb.Professional.Life.Coach.Certification.Accredited.2024.part1.rar.html Fikper Free Download https://fikper.com/9E1ttSfUky/qvqsb.Professional.Life.Coach.Certification.Accredited.2024.part1.rar.html https://fikper.com/oQ9YfdonD8/qvqsb.Professional.Life.Coach.Certification.Accredited.2024.part2.rar.html No Password - Links are Interchangeable

Free Download Professional Diploma In Project Management (2024) Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 7.05 GB | Duration: 3h 10m Professional Diploma in Project Management: Master Project Planning, Leadership, Agile, Risk, and Budget Control What you'll learn Understand the full project lifecycle from initiation to closure. Develop comprehensive project plans, including timelines, resources, and budgets. Apply risk management techniques to identify, assess, and mitigate project risks. Lead project teams and communicate effectively with stakeholders. Implement quality assurance practices to meet project deliverables. Utilize project management methodologies such as Agile and Waterfall. Use project management software tools for scheduling, tracking, and reporting. Manage scope, time, and costs efficiently to ensure project success. Requirements No prior project management experience is required, but a basic understanding of business concepts is beneficial. Description The Professional Diploma in Project Management is a comprehensive program designed for individuals looking to advance their careers and gain expertise in managing projects efficiently, regardless of industry. Whether you're an aspiring project manager, a seasoned professional aiming to refine your skills, or someone looking to shift careers, this course equips you with the knowledge and practical tools needed to excel.Aligned with the globally recognized PMI (Project Management Institute) framework, this course covers all essential aspects of project management, from initiation, planning, and execution to monitoring, controlling, and closing. You'll learn how to manage time, scope, and costs effectively, ensuring that projects are delivered on time, within budget, and meet stakeholder expectations.Key areas of focus include project lifecycle, risk management, communication strategies, quality assurance, and leadership in complex projects. Real-world case studies and practical exercises give you hands-on experience to apply what you've learned to various project environments, be it in construction, IT, healthcare, or business.By the end of this course, you'll be proficient in using modern project management tools like Gantt charts, critical path method (CPM), and project management software (such as MS Project and Asana). You'll also be able to navigate team dynamics, handle conflicts, and deliver high-quality results that align with business goals.This diploma not only enhances your project management skills but also provides you with the credibility and confidence to take on higher-level responsibilities, making you a valuable asset to any organization. Whether you're aiming to lead small teams or manage large-scale projects, this course will help you reach the next level of your professional journey.Enroll today and start your journey toward becoming a certified project management professional! Overview Section 1: Introduction to Project Management Lecture 1 Definition and importance of project management Lecture 2 Overview of the project lifecycle Lecture 3 The role of the project manager Section 2: Project Initiation and Planning Lecture 4 Identifying project goals and objectives Lecture 5 Developing a project charter Lecture 6 Creating a project plan Lecture 7 Stakeholder identification and management Section 3: Scheduling and Resource Allocation Lecture 8 Techniques for effective scheduling. Lecture 9 Resource management and allocation Lecture 10 Gantt charts, critical path methods, and PERT Section 4: Risk Management in Projects Lecture 11 Identifying and assessing risks Lecture 12 Risk mitigation strategies Lecture 13 Creating a risk management plan Section 5: Project Execution and Team Management Lecture 14 Managing teams and delegating tasks Lecture 15 Leadership styles in project management Lecture 16 Effective communication with stakeholders Section 6: Cost Management and Budgeting Lecture 17 Developing a project budget Lecture 18 Controlling costs and avoiding budget overruns Lecture 19 Earned value management (EVM) Section 7: Quality Assurance and Control Lecture 20 Defining quality in project management Lecture 21 Quality assurance vs. quality control Lecture 22 Tools for managing quality in projects Section 8: Agile, Scrum, and Other Methodologies Lecture 23 Introduction to Agile and Scrum methodologies Lecture 24 Waterfall vs. Agile: Choosing the right approach Lecture 25 Implementing Scrum in your project environment Section 9: Monitoring, Controlling, and Reporting Lecture 26 Tracking project progress Lecture 27 Using project management software for tracking Lecture 28 Reporting to stakeholders Section 10: Project Closure Lecture 29 Completing and delivering the project Lecture 30 Post-project review and lessons learned Lecture 31 Ensuring stakeholder satisfaction Aspiring Project Managers: Individuals looking to start their careers in project management or transition from a different field.,Current Project Managers: Professionals seeking to advance their skills and obtain formal recognition for their experience.,Business Leaders and Entrepreneurs: Business owners and managers aiming to improve efficiency and manage complex projects effectively.,Team Leaders: Professionals responsible for leading teams and managing project timelines, budgets, and resources.,Students and Graduates: Recent graduates or students interested in entering the project management field.,Freelancers and Consultants: Independent professionals seeking to offer project management services to clients.,Anyone Looking for Career Advancement: Professionals from various industries aiming to broaden their skill sets and increase their value in the workplace. 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Free Download Professional Course Of Relaxing Massage Certificated Course Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.31 GB | Duration: 2h 36m This is a Complete Massage Course that will teach you everything that you need to know to give amazing massages What you'll learn Relaxation massage. Requirements You will need a table massage or a bed. Description Do you want to learn a relaxing massage online?Regardless of whether you want to learn a relaxing massage for yourself, because you want to heal your family, your husband, wife, friends, or you are a qualified masseur, you've come to the right place!I had the same desire at the beginning of my career.In order to perform massages at the highest level, it is necessary to undergo appropriate massage training.I have prepared such a course for you.It is made in the whole body and not only in the back.I will show you how to do it properly:* relaxing head and face massage,* relaxing back massage,* relaxing massage of the whole body on the stomach and on the back.I make every move for a long time so that you can learn how to properly perform it.This online massage course will give you the skills that will give your clients, friends or family an amazing relaxing massage experience. It doesn't matter if you have had massage training before or have no experience.In this relaxing massage course, I will guide you step by step through all massage techniques, so that you can meet the expectations of the person you are going to massage as much as possible. Overview Section 1: Introduction. Lecture 1 Introduction. Section 2: Relaxation back massage. Lecture 2 Relaxation back massage. Lecture 3 Circular movements all over the back. Back massage with forearms. Lecture 4 Rubbing the paraspinal muscles. Section 3: Relaxing face and head massage. Lecture 5 Relaxing face and head massage. Lecture 6 Temple massage technique reducing wrinkles, the so-called "Crow's feet". Lecture 7 The so-called massage technique "Eyebrow pinching" and eye muscle massage. Lecture 8 Stroking paraspinal muscles using the "V" technique. Section 4: Front body relaxation massage. Lecture 9 Proper relaxation massage of the front part of body. Lecture 10 Circular stroking of the abdomen with the forearms. Lecture 11 The technique of stroking the so-called "star" Lecture 12 Circular stroking of the abdomen with the back of the hand. Section 5: Back body relaxation massage. Lecture 13 Properly performing a relaxing massage of the back of the body Section 6: Relaxing massage of the front and back parts of the body. Lecture 14 Relaxing massage of the front and back parts of the body. Anyone who had the wish to promote the good with your own hands. Homepage https://www.udemy.com/course/professional-course-of-relaxing-massage-certificated-course/ Rapidgator https://rg.to/file/15037c9468396c4ab0b582751aeac025/yaqqz.Professional.Course.Of.Relaxing.Massage.Certificated.Course.part3.rar.html https://rg.to/file/17ff9ddd80a8ab347ea6e08d3cd3a4d5/yaqqz.Professional.Course.Of.Relaxing.Massage.Certificated.Course.part4.rar.html https://rg.to/file/549c4aebe15d34cfc1526160e821c7dd/yaqqz.Professional.Course.Of.Relaxing.Massage.Certificated.Course.part1.rar.html https://rg.to/file/d1089dc49c27e25c674c2cc2958a31ac/yaqqz.Professional.Course.Of.Relaxing.Massage.Certificated.Course.part2.rar.html Fikper Free Download https://fikper.com/0m49BCGPVf/yaqqz.Professional.Course.Of.Relaxing.Massage.Certificated.Course.part4.rar.html https://fikper.com/3QVnq9S0C6/yaqqz.Professional.Course.Of.Relaxing.Massage.Certificated.Course.part1.rar.html https://fikper.com/Fi7SD1ZIVV/yaqqz.Professional.Course.Of.Relaxing.Massage.Certificated.Course.part2.rar.html https://fikper.com/LFwDRZu1er/yaqqz.Professional.Course.Of.Relaxing.Massage.Certificated.Course.part3.rar.html No Password - Links are Interchangeable

Free Download Professional Certificate in Machine Learning by Academy of Computing & Artificial Intelligence Last updated 8/2023 Created by Academy of Computing & Artificial Intelligence MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 196 Lectures ( 24h 0m ) | Size: 10.4 GB Learn all the skills to become a Data Scientist & Build 500+ Artificial Intelligence Projects with source What you'll learn Machine Learning -[A -Z] Comprehensive Training with Step by step guidance Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, SVM, Random Forest) Unsupervised Learning - Clustering, K-Means clustering Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices, Deep Convolutional Generative Adversarial Networks (DCGAN) Java Programming For Data Scientists Python Programming Basics For Data Science Algorithm Analysis For Data Scientists Requirements Computer & Internet Connection Description Academy of Computing & Artificial Intelligence proudly presents you the course "Professional Certificate in Data Mining & Machine Learning".mIt all started when the expert team of The Academy of Computing & Artificial Intelligence[ACAI] (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts . hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2023. To make the course more interactive, we have also provided a live code demonstration where we explain to you how we could apply each concept/principle[Step by step guidance]. Each & every step is clearly explained.[Guided Tutorials]"While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn. Watch this video to better understand the relationship between AI and machine learning. You'll see how these two technologies work, with useful examples and a few funny asides."Course Learning OutcomesTo provide a solid awareness of Supervised & Unsupervised learning coming under Machine LearningExplain the appropriate usage of Machine Learning techniques.To build appropriate neural models from using state-of-the-art python framework.To build neural models from scratch, following step-by-step instructions. To build end - to - end effective solutions to resolve real-world problems To critically review and select the most appropriate machine learning solutionspython programming is also inclusive. RequirementsA computer with internet connectionPassion & commitment At the end of the Course you will gain the following # Learn to Build 500+ Projects with source code# Strong knowledge of Fundamentals in Machine Learning# Apply for the Dream job in Data Science # Gain knowledge for your University ProjectSetting up the Environment for Python Machine LearningUnderstanding Data With Statistics & Data Pre-processing Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques : Univariate SelectionData Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..Artificial Neural Networks with Python, KERASKERAS Tutorial - Developing an Artificial Neural Network in Python -Step by StepDeep Learning -Handwritten Digits Recognition[Step by Step][Complete Project ]Naive Bayes Classifier with Python[Lecture & Demo]Linear regressionLogistic regressionIntroduction to clustering[K - Means Clustering ]K - Means ClusteringWhat if you have questions?we offer full support, answering any questions you have.There's no risk !Who this course is for:Anyone who is interested of Data Mining & Machine Learning Who this course is for Anyone who wish to start a career in Machine Learning Homepage https://www.udemy.com/course/professional-certificate-in-machine-learning/ Screenshot Rapidgator https://rg.to/file/44338ac9b43e2e3fbffb95fb848e1f7e/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part04.rar.html https://rg.to/file/4c677d82833ded2969facf2d47edf70b/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part11.rar.html https://rg.to/file/59dc6ecf75505bdda6ccb4e62dbe769d/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part01.rar.html https://rg.to/file/74b12b1a170477995af3289ad06a1bc4/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part03.rar.html https://rg.to/file/778c772d54aec66fb567e80ed3455b7a/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part06.rar.html https://rg.to/file/9db26f85502fcad90ef9580955a96894/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part10.rar.html https://rg.to/file/a32b2645c18149c60b7b64f40e72af3c/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part09.rar.html https://rg.to/file/a3364ad14c53e88b134955c253be321a/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part08.rar.html https://rg.to/file/b6ef64873e577f6d9f655e27c3e08c14/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part05.rar.html https://rg.to/file/be5742808ab0e336f4d737fc7553a5b8/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part07.rar.html https://rg.to/file/f5801d8aa8573cf7bc9e078d51866b78/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part02.rar.html Fikper Free Download https://fikper.com/28F1kUfxBZ/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part07.rar.html https://fikper.com/48Fq85TagM/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part06.rar.html https://fikper.com/E8VXryBL2Q/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part11.rar.html https://fikper.com/FucbYSw7nc/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part05.rar.html https://fikper.com/LO4XigTEML/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part02.rar.html https://fikper.com/MAabHB1zCF/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part03.rar.html https://fikper.com/NaNOJc6Axf/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part04.rar.html https://fikper.com/cHtSRd0cRw/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part08.rar.html https://fikper.com/hBKcV4Vo4l/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part10.rar.html https://fikper.com/mB9UfHJjCd/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part01.rar.html https://fikper.com/qSmfZVfAlT/vouxy.Professional.Certificate.in.Machine.Learning.by.Academy.of.Computing..Artificial.Intelligence.part09.rar.html No Password - Links are Interchangeable

Free Download Professional Certificate in Data Science 2024 Last updated 1/2024 Created by Academy of Computing & Artificial Intelligence MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 170 Lectures ( 26h 36m ) | Size: 12 GB Learn All the Skills to Become a Data Scientist[ Machine Learning,Deep Learning, CNN, DCGAN, Python, Java, Algorithms] What you'll learn Python Programming Basics For Data Science Machine Learning -[A -Z] Comprehensive Training with Step by step guidance Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines, Random Forest) Unsupervised Learning - Clustering, K-Means clustering Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices, Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it. Algorithm Analysis For Data Scientists KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step Deep Learning -Handwritten Digits Recognition[Step by Step][Complete Project ] Deep Convolutional Generative Adversarial Networks (DCGAN) Java Programming For Data Scientists Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia Developing a CNN From Scratch for CIFAR-10 Photo Classification Requirements Computer & Internet Connection Description At the end of the Course you will have all the skills to become a Data Science Professional. (The most comprehensive Data Science course )1) Python Programming Basics For Data Science - Python programming plays an important role in the field of Data Science2) Introduction to Machine Learning -[A -Z] Comprehensive Training with Step by step guidance3) Setting up the Environment for Machine Learning - Step by step guidance4) Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines, Random Forest)5) Unsupervised Learning6) Evaluating the Machine Learning Algorithms7) Data Pre-processing8) Algorithm Analysis For Data Scientists9) Deep Convolutional Generative Adversarial Networks (DCGAN)10) Java Programming For Data ScientistsCourse Learning OutcomesTo provide awareness of the two most integral branches (Supervised & Unsupervised learning) coming under Machine LearningDescribe intelligent problem-solving methods via appropriate usage of Machine Learning techniques.To build appropriate neural models from using state-of-the-art python framework.To build neural models from scratch, following step-by-step instructions. To build end - to - end solutions to resolve real-world problems by using appropriate Machine Learning techniques from a pool of techniques available. To critically review and select the most appropriate machine learning solutionsTo use ML evaluation methodologies to compare and contrast supervised and unsupervised ML algorithms using an established machine learning framework.Beginners guide for python programming is also inclusive. Introduction to Machine Learning - Indicative Module ContentIntroduction to Machine Learning:- What is Machine Learning ?, Motivations for Machine Learning, Why Machine Learning? Job Opportunities for Machine Learning Setting up the Environment for Machine Learning:-Downloading & setting-up Anaconda, Introduction to Google CollabsSupervised Learning Techniques:-Regression techniques, Bayer's theorem, Naïve Bayer's, Support Vector Machines (SVM), Decision Trees and Random Forest.Unsupervised Learning Techniques:- Clustering, K-Means clusteringArtificial Neural networks[Theory and practical sessions - hands-on sessions]Evaluation and Testing mechanisms :- Precision, Recall, F-Measure, Confusion Matrices, Data Protection & Ethical PrinciplesSetting up the Environment for Python Machine LearningUnderstanding Data With Statistics & Data Pre-processing (Reading data from file, Checking dimensions of Data, Statistical Summary of Data, Correlation between attributes)Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques : Univariate SelectionData Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..Artificial Neural Networks with Python, KERASKERAS Tutorial - Developing an Artificial Neural Network in Python -Step by StepDeep Learning -Handwritten Digits Recognition[Step by Step][Complete Project ]Naive Bayes Classifier with Python[Lecture & Demo]Linear regressionLogistic regressionIntroduction to clustering[K - Means Clustering ]K - Means ClusteringThe course will have step by step guidance for machine learning & Data Science with Python.You can enhance your core programming skills to reach the advanced level. By the end of these videos, you will get the understanding of following areas the Python Programming Basics For Data Science - Indicative Module ContentPython ProgrammingSetting up the environmentPython For Absolute Beginners : Setting up the Environment : AnacondaPython For Absolute Beginners : Variables , Lists, Tuples , DictionaryBoolean operationsConditions , Loops(Sequence , Selection, Repetition/Iteration)FunctionsFile Handling in PythonAlgorithm Analysis For Data Scientists This section will provide a very basic knowledge about Algorithm Analysis. (Big O, Big Omega, Big Theta)Java Programming for Data Scientists Deep Convolutional Generative Adversarial Networks (DCGAN)Generative Adversarial Networks (GANs) & Deep Convolutional Generative Adversarial Networks (DCGAN) are one of the most interesting and trending ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator , learns to create images that look real, while a discriminator learns to tell real images apart from fakes.At the end of this section you will understand the basics of Generative Adversarial Networks (GANs) & Deep Convolutional Generative Adversarial Networks (DCGAN) .This will have step by step guidance Import TensorFlow and other librariesLoad and prepare the datasetCreate the models (Generator & Discriminator)Define the loss and optimizers (Generator loss , Discriminator loss)Define the training loopTrain the modelAnalyze the output Does the course get updated?We continually update the course as well.What if you have questions?we offer full support, answering any questions you have.Who this course is for:Beginners with no previous python programming experience looking to obtain the skills to get their first programming job.Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.Who want to improve their career options by learning the Python Data Engineering skills. 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Free Download Product Quality Review (Annual Product Quality Review) Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.05 GB | Duration: 4h 38m Product Quality Review What you'll learn Brief understand about the Product Quality Review in pharmaceuticals Compliance to regulatory requirements for PQR Understand in brief about Product Quality review and continued process verification. Both are different The key questions related to PQR will help you to understand and clear the subject and avoid potential errors in future Requirements The person should be full focussed during the session. Description The Product Quality Review is part of the Quality management system requirements.The first lecture is related to process capability and process capability index. This will help viewers to understand this concept very clearly because as a part of PQR, it is required to evaluate.The second lecture is on Pharmaceutical Quality system. This lecture constitutes below discussion•Importance of topic and Agenda•Know your Trainer•Understanding the different guidelines•ICH Q10 Objectives•Life Cycle Approach•Management Responsibility•Elements of Pharmaceutical Quality System•Key messageThe third lecture is on Key questions related to PQR. Due this this lecture, the parti[beeep]nts will clear their concepts and avoid errors in future.The fourth lecture is on Product Quality Review. The lecture will discuss in detail about PQR expectations. This session includes below points - •Importance of topic & Know your Trainer•Expectations about PQR from different regulatory agencies•Specific key expectations from regulatory guides (FDA,WHO)•Elements of product Quality Review•Practical approach towards each elements•Role of statistical evaluation in PQR•Practical examples for detailed understanding about statistical evaluations•Broad Difference in expectations between EU and FDA•Common non conformance identified in PQRThe last lecture is on continued process verification. Many people think that, continued process verification and PQR are same. But both are different. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Pharmaceutical Quality System (PQS) Lecture 3 Product Quality Review (PQR) Key Questions and Answers Lecture 4 Product Quality Review (PQR) Lecture 5 Continued Process Verification Professionals of pharmaceutical industry, Quality Assurance, Quality control (Analytical laboratory), production, engineering, R&D, development, investigation team, compliance team etc. Screenshot Homepage https://www.udemy.com/course/product-quality-review-annual-product-quality-review/ Rapidgator https://rg.to/file/18599b45316c4b46ba4bf0c4ed8c06ff/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part3.rar.html https://rg.to/file/7b11447b9d01e4cefdedffa301cc1a76/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part4.rar.html https://rg.to/file/a435d4c801be376450b7430cde07c993/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part5.rar.html https://rg.to/file/a651102756de8f253e24dd720d7529e8/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part6.rar.html https://rg.to/file/f20e9ff8a4b3cffbda57b642f875cc03/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part2.rar.html https://rg.to/file/f788353125111275667bc197eb64bdfb/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part1.rar.html Fikper Free Download https://fikper.com/9JPA8Fy3Ja/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part3.rar.html https://fikper.com/JGYVlBtI4A/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part2.rar.html https://fikper.com/ZdJhVZ9czK/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part1.rar.html https://fikper.com/dcJhL6rluj/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part6.rar.html https://fikper.com/uN54HK1cHO/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part5.rar.html https://fikper.com/uWcdvEOSOB/oznoy.Product.Quality.Review.Annual.Product.Quality.Review.part4.rar.html No Password - Links are Interchangeable

Free Download Product Management Masterclass Become A Product Manager Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 508.28 MB | Duration: 1h 24m A Complete Masterclass in Building a Successful Career in Product Management As A Product Manager What you'll learn An Overview of the Product Manager's Role and Who They Partner With Common Challenges in Product Management And How to Overcome Them A Deep Dive into Each Phase of the Product Management Life Cycle How to Build Products that Deliver Customer and Business Value Requirements No Product Management Prior Knowledge or Experience is Needed Description Unlock Your Future as a Product Manager: Master the Skills to Lead with Confidence!Are you ready to transform your passion for innovation into a rewarding career in product management? This Product Management Masterclass is designed for aspiring product managers like you, who want to learn the practical skills needed to excel in today's competitive job market. You'll learn the skills that make up the entire Product Management job and process: from ideation to market research, to UX wireframing to prototyping, technology, metrics, and finally to building the product with user stories, project management, scoping, and leadership.The Product Manager role is one of the most promising and highest-paying careers today, offering an opportunity to dramatically improve your career and quality of life.The demand for Product Management is increasing at an insane rate. More and more companies are finally figuring out how important this discipline and this role is to their success.Are you eager to have a successful career in product management? Look no further! Product Management Masterclass: Become a Product Manager is designed to equip you with the core skills and knowledge needed to excel in the Product Management field.This course will teach you the underlying values and principles of Product Management. And the practical portion will showcase how successful teams build products using approaches that minimize risk and maximize customer delight.If you're seeking a job in Product Management or trying to transition into a new career, this course will help prepare you for success. You'll be able to identify and avoid unproductive workplace practices, and confidently use the latest Product Management tools and techniques that are so essential to success.And if you work as a Product Manager in the software development space, this course will accelerate your career and open new doors.You don't have to just dream it; you can live it. Our Product Management Masterclass is your gateway to a fulfilling career, guiding you step-by-step toward becoming the product manager you've always wanted to be.Don't let this opportunity slip by. See you on the other side! Overview Section 1: Introduction to Product Management Lecture 1 Who is a Product Manager Lecture 2 The Roles of a Product Manager Lecture 3 Challenges in Product Management Lecture 4 Tools for Product Managers Section 2: The Product Management Life Cycle Lecture 5 What is the Product Management Life Cycle Lecture 6 How Product Managers Guide a Product Through Its Life Cycle Section 3: The Product Management Life Cycle Phases Lecture 7 Phase 0: Start with an Outcome Lecture 8 Phase 1: Discover - Understanding Your Customers Lecture 9 Phase 2: Validation - Finding the Right Solution Lecture 10 The Role of Experimentation and Testing Lecture 11 Phase 3: Build - Delivering Continuous Value Lecture 12 Phase 4: Launch - Getting the Word Out Lecture 13 Phase 5: Evaluate Lecture 14 Phase 6: Iterate Aspiring Product Manager,Founders of Startups Screenshot Homepage https://www.udemy.com/course/product-management-masterclass-become-a-product-manager/ Rapidgator https://rg.to/file/996cd30d6608eea1794dfb5bbbd2a93a/sbmmm.Product.Management.Masterclass.Become.A.Product.Manager.rar.html Fikper Free Download https://fikper.com/08GtwehemM/sbmmm.Product.Management.Masterclass.Become.A.Product.Manager.rar.html No Password - Links are Interchangeable

Free Download Product Development & Customer Experience Management Diploma Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 751.66 MB | Duration: 2h 46m CX / Customer Experience. Product Management and Development. Customer journey and touchpoints, CJM. Product Life-cycle What you'll learn Introduction to Customer Experience Management Theory Overview High-Level Frameworks CX Principles Customer Segmentation and Persona Development Service Recovery and Complaint Handling Customer Journey Optimisation Service Blueprinting and Process Design Voice of the Customer (VoC) Analysis Emotional Experience Design (EED) Lifetime Value (LTV) and Customer Lifetime Value (CLV) Introduction to Product Development and Management Requirements For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning. Description Welcome to course Product Development & Customer Experience Management Diploma by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 210 countries and has been chosen by more than 580 000 students.Course Author:Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.Product ManagementProduct Management is a multifaceted discipline that encompasses the planning, development, marketing, and optimization of a product or service throughout its lifecycle. It involves aligning customer needs with business goals and coordinating cross-functional teams to deliver successful and valuable products. Product managers act as the linchpin between various departments, ensuring seamless communication and collaboration.Customer experience (CX) is the overall impression customers have of your brand throughout their interactions with your business. It encompasses everything from the initial marketing message to the post-purchase support they receive. Think of it as the customer journey, and CX is all the touchpoints along the way that shape their perception.Key Areas of CXCustomer touchpoints: Every interaction a customer has with your brand, like websites, social media, advertising, in-store experience, and customer service.Customer journey: Mapping out the steps a customer takes to interact with your brand, from awareness to purchase and beyond.Customer satisfaction: How happy customers are with your product or service.Customer loyalty: How likely customers are to return and recommend your brand to others.CX FrameworksFrameworks provide a structured approach to improving CX. Here are two common ones:Customer Experience Journey Map: A visual representation of the customer journey, identifying touchpoints and opportunities for improvement.Five Service Dimensions: A framework that focuses on five key aspects of service quality: reliability, responsiveness, assurance, empathy, and tangibles.Why Learning CXM is Important for Companies:Improved Customer Satisfaction and Loyalty: CXM focuses on understanding and meeting customer needs, leading to increased satisfaction and a higher likelihood of repeat business.Enhanced Brand Reputation: Positive customer experiences contribute to a strong brand reputation, attracting new customers and retaining existing ones.Increased Revenue and Profitability: Satisfied customers are more likely to spend more, refer others, and remain loyal, all of which contribute to revenue growth.Competitive Advantage: In today's crowded marketplace, exceptional customer experience can be a key differentiator, setting a company apart from its competitors.Reduced Costs: Resolving customer issues proactively and efficiently can reduce the cost of customer service and support.Why Learning CXM is Important for Building a Career as a Manager:In-demand Skill: CXM is a highly sought-after skill in today's business world, as companies increasingly recognize its importance.Career Advancement: Expertise in CXM can open doors to various managerial roles, such as Customer Experience Manager, Customer Success Manager, or Marketing Manager.Problem-solving Skills: CXM involves identifying and addressing customer pain points, which enhances problem-solving and analytical skills.Leadership Development: Managing customer experience initiatives requires strong leadership, communication, and collaboration skills.Cross-functional Collaboration: CXM often involves working with multiple departments, providing managers with exposure to different areas of the business.Overall, learning CXM is crucial for companies looking to thrive in the modern business landscape. It's also a valuable investment for managers aiming to build a successful career in various industries. Overview Section 1: Introduction Lecture 1 Onboarding to learning process Section 2: Customer Experience Lecture 2 Introduction to Customer Experience Management Lecture 3 Course Presentation Lecture 4 Theory Overview Lecture 5 High-Level Frameworks Lecture 6 CX Principles Lecture 7 Customer Segmentation and Persona Development Lecture 8 Service Recovery and Complaint Handling Lecture 9 Customer Journey Optimisation Lecture 10 Service Blueprinting and Process Design Lecture 11 Voice of the Customer (VoC) Analysis Lecture 12 Emotional Experience Design (EED) Lecture 13 Lifetime Value (LTV) and Customer Lifetime Value (CLV) Lecture 14 Employee Experience (EX) Section 3: Product Management and Development Lecture 15 Course Presentation and objectives Lecture 16 Course Presentation Lecture 17 Module 1 Introduction to Product Development and Management Lecture 18 Module 2 Idea Generation and Concept Development Lecture 19 Module 3 Product Design and Prototyping Lecture 20 Module 4 Product Testing and Validation Lecture 21 Module 5 Product Launch and Commercialisation Lecture 22 Module 6 Product Life-cycle Management Lecture 23 Module 7 Agile Product Development Lecture 24 Module 8 Product Metrics and Performance Measurement Lecture 25 PDM_Module 9 Case Studies and Best Practices Section 4: Customer Experience Management Guide Lecture 26 Understanding the Power of Customer Experience Management Lecture 27 Assessing the Current State of UX Lecture 28 Identifying Key Stakeholders and Building a CEM Team Lecture 29 Developing a Customer-Centric Vision and Strategy Lecture 30 Prioritizing UX Improvements Based on Impact and Feasibility Lecture 31 Designing and Implementing UX Improvements Lecture 32 Establishing Metrics and KPIs for UX Success Lecture 33 Communicating the Value of UX to the Organization Lecture 34 Building a Feedback Loop for Continuous Improvement Lecture 35 The Future of UX: Staying Ahead of the Curve Section 5: Interactive part Lecture 36 Interactive Part Lecture 37 Congratulations with finishing from MTF No special requirements. 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Free Download Procurement And Strategic Sourcing Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.09 GB | Duration: 2h 52m Cost Reduction, Risk Mitigation, Souring Strategy and AI What you'll learn Learn Strategic Sourcing, Procurement 101 Learn to Manage and Negotiate Contracts, Suppliers and Stakeholders Create a strategy to create cost savings, reduce risk Learn to apply Gen AI to your Sourcing Plan Requirements No experience necessary, I teach all concept in simple terms with a linear course starting at the ground level. Description Instructor Chris Roy, MBA, with two decades in Sourcing & Procurement, will serve as the expert guide throughout this comprehensive course. Students will gain invaluable insights into the intricacies of the Strategic Sourcing and Procurement process, focusing on the entire Procure-to-Pay process with a goal of providing cost savings, mitigating risk & Streamlining contract negotiations.This course offers a deep dive into various critical aspects of Procurement and Strategic Sourcing Strategy. Students will learn how to navigate the complexities of contract negotiations and discover techniques to managing strategic sourcing Projects.Student gain a sneak peek into using Microsoft Application and AI tools to automate Procurement activities. Students will discover how automation and strategic sourcing can lead to substantial cost savings, mitigate risks, and create new opportunities for their organization. Instructor Chris Roy, MBA, with two decades in Sourcing & Procurement, will serve as the expert guide throughout this comprehensive course. Students will gain invaluable insights into the intricacies of the Sourcing and Procurement process, focusing on the entire Procure-to-Pay process with a goal of providing cost savings, mitigating risk & Streamlining contract negotiations.This course offers a deep dive into various critical aspects of Procurement and Strategic Sourcing Strategy. Students will learn how to navigate the complexities of contract negotiations and discover techniques to managing strategic sourcing Projects.Student gain a sneak peek into using Microsoft Application and AI tools to automate Procurement activities. Students will discover how automation and strategic sourcing can lead to substantial cost savings, mitigate risks, and create new opportunities for their organization. Overview Section 1: Introduction Lecture 1 Introduction, Instructor Chris Roy Lecture 2 Sourcing vs Purchasing Lecture 3 Requirements - The Banana Demo Lecture 4 Maximize Buying Power - The Banana Demo Cont. Lecture 5 Forecast & Budgeting - The Banana Demo Cont. Lecture 6 Solicitation & Contracting Lecture 7 Needs Assessment Lecture 8 Common Supplier Types & Terminology Lecture 9 Sole vs Single Source Supplier Lecture 10 Introduction to RFX- Requesting Information Lecture 11 Introduction to RFX - Requesting Proposals Lecture 12 Introduction to RFX - Requesting Quotes Section 2: Contracts & Negotiations Lecture 13 Common Contract Hierarchy Lecture 14 Non-Disclosure Agreements Lecture 15 Master Contracts & Statements of Work Lecture 16 Change Orders & Amendments Lecture 17 Termination Rights Lecture 18 Renewal & In-Term Rights Lecture 19 Concession Strategy Lecture 20 Discount & Tiered Pricing Models Lecture 21 Evaluating Multi Year Discounts Section 3: Project Management & Business Applications Lecture 22 Internal Team Building Lecture 23 Approvals & RACI Matrix Lecture 24 Building a Requisition Form & Management system Lecture 25 Blueprint for Automated Reporting Concepts Section 4: Using AI in Supply Chain (Live Use Case) Lecture 26 Webinar ChatGPT for Procurement Anyone interested in Procurement, Strategic Sourcing & Supply Chain. Anyone looking for an edge to obtain employment or if you are an employer this course can provide tips to reduce cost and risk in your supply chain. Screenshot Homepage https://www.udemy.com/course/procurement-and-strategic-sourcing/ Rapidgator https://rg.to/file/2ed38e48854c4c52556e12b8a7ab9d51/bdqui.Procurement.And.Strategic.Sourcing.part2.rar.html https://rg.to/file/61d860bff491560e50fa933fe4026c01/bdqui.Procurement.And.Strategic.Sourcing.part1.rar.html Fikper Free Download https://fikper.com/iL9UiPyADj/bdqui.Procurement.And.Strategic.Sourcing.part2.rar.html https://fikper.com/nDu8NnOoXg/bdqui.Procurement.And.Strategic.Sourcing.part1.rar.html No Password - Links are Interchangeable

Free Download Procreate Easy Painting Megapack - 6 Courses in 1 Published 10/2024 Created by Maurizio De Angelis MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 69 Lectures ( 4h 23m ) | Size: 6.7 GB 6 Comprehensive Classes to Kickstart Your Digital Painting Journey What you'll learn Learn the basic of Procreate Learn how to paint and blend colours Understand how to achieve difficult shading techniques Learn how to breakdown a composition Requirements An Ipad with Procreate installed Description In this Procreate Megapack course you get 6 classes in 1!Organised from easy to more difficult classes, it's a great way to learn the basics of Procreate and digital painting in general. For each class, you can watch each presentation and the first lesson, where you can set up the canvas and download all the materials such as drawings, palette and papers.Here is the course structure:Course A - Composition BreakdownIn this 12 minute lesson you will learn the basic principle of breaking down a composition into small and simple painting steps. Using this method, you will be able to deconstruct any subject from still life to portraits to figures and everything in between. This is a fundamental concept, it's the traditional way the old masters used to create their masterpieces, and if your aim is to learn the basics of painting, you will find this course very useful.Course B - Course B - Go wild with colour in ProcreateIn this course you will learn how to make an illustration pop off the canvas with an unconventional colour scheme! You'll gain confidence in the whole process of creating illustrations in a quirky and attractive style.Course C - Creating a Libretto CoverIn this class we'll be colouring in a cover from the libretto of Madama Butterfly, with the aim of creating an evocative illustration of the main character! You will be able to download the drawing from the resources and start painting with me as we build up the underpainting, establishing the main volume, lights and shadows, and then begin to add the relevant details by increasing the level of description throughout.Course D - Mastering the Carbon Stick BrushIn this fascinating course, you'll travel through the bustling streets of London's Columbia Road Flower Market and learn how to capture the spirit of a colourful sign advertising three succulents for a fiver! You'll gain confidence using the Carbon Stick brush in Procreate, unlocking its evocative and visually stunning potential. Starting with canvas setup and brush adjustments, you'll delve into the heart of the composition, painting everything from leaves to petals with precision and flair.Course E - Illustrating Delicious Cookbook ArtThroughout this class we'll be looking at how a marker can be used to create a cookbook illustration! To create such an illustration, we'll use a specific workflow to build up the layers and shades, starting with setting up the canvas and adjusting the brush to get the typical marker effect. Then we paint the sponge and cream layers, treating them differently to reflect their unique textures, then we paint the ganache and fruit on top, and finally we unify the illustration with some ink.Course F - Painting a Sleeping Fox CubIn this more advanced class, we will finally go into the amazing world of naturalistic illustration by creating a sleeping fox cub using the Peppermint brush in Procreate!Ready? Let's dive into it! 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Free Download Process Visualization (Level 3) Last updated 10/2024 Created by Paul Lynn MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 150 Lectures ( 17h 1m ) | Size: 6.1 GB Learn HMI / SCADA hands-on by developing your own live interfaces for a running system. What you'll learn By the end of this course, you will have created HMI / SCADA interfaces using various technologies allowing operators to interact with a live, running system. Using the provided PLC program as the basis for our interfaces, you'll be creating graphical interfaces to run the process and log data into a SQL database. You'll know how to map data between RSLogix 500 projects and several visualization technologies. You'll have some AMAZING demo projects to show off in interviews. Requirements You will need to download a VERY LARGE archive in order to take full advantage of this course. That file is OVER 10gb! The alternative is to download a LOT of software individually and install and configure it all bit by bit. While I DO provide guidance for doing that in the course, I CANNOT provide one-on-one support. All software required for this course (except for VMWare if you use a Mac) will be provided. That being said, the versions provided are unregistered, not activated and running in demo mode. Continued use of these programs requires purchase, activation and licensure, however all of it will work for a limited time (adequate to complete this course). So you won't have to pay for software to learn, but the software WILL eventually stop working at the end of the various trial periods. The only software you need to worry about being able to run is VMWare. If you have a Windows PC, you can download VMWare Player for free. If you have a Mac, you will need to purchase a copy of VMWare Workstation... or use a Windows computer. Familiarity with RSLogix 500, RSLinx and RSLogix 500 Emulate is required for this course. Description As a PLC programmer, there are two sides of the coin that you MUST know to get the job done, and those are the PLC and the HMI. In my first two PLC courses (only ten dollars each on PLC Dojo), you learned the ins and outs of PLC and have already created some pretty complex programs to run machines.But if people aren't able to interact with those machines, they aren't going to be of much use! In this course, you're going to learn about HMI and SCADA by creating graphical interfaces operators will use to monitor automated process, establish operating parameters, and even acquire and warehouse data from a running system.There are multiple solutions on the market to accomplish these tasks, and as such, we're going to be covering several. Wonderware (Schneider Electric / Indusoft) is perhaps the top solution in the world of process visualization. As such, we'll be working extensively with that technology, but we won't limit ourselves to a single package.We'll also be working hands-on with InduSoft, EasyBuilder 5000 and AdvancedHMI, and hands-off with FactoryTalk View Studio and C-More so by the end of this course, you're going to actually know and have working experience with most of what people are using in the world of automation today.What's covered in each of the five PLC courses I teach here and on my own PLC Dojo site?PLC Fundamentals (Level 1) teaches you how to program with the focus on ladder logic, which is the most popular PLC programming language. The goal is to teach you everything you need to know to make a PLC do what you want it to do. You are also given all the software necessary to both CREATE and RUN your own programs live - right on your own computer.Applied Logic (Level 2) forces you to take what you've learned and solve problem after progressively harder problem unassisted. You get a spec and are told simply: "Make it work, and don't progress until you have." After, you get to watch me solve each one as well. By the end, you don't just know how to program - you are a PROGRAMMER.Process Visualization (Level 3) gives you both knowledge and experience in FIVE different HMI / SCADA development environments. By the end, you've created several COMPLETE visualization (screen) projects that you can actually run on your own computer (and SHOW PEOPLE in an interview) with no additional hardware.IEC Paradigms (Level 4) is only for the heavyweights. This course teaches you how to program using all five IEC programming languages (plus one more) in multiple environments. There are projects as well, so by the end, you have seen it all and DONE it all as well. There won't be anything anybody can show you that you won't already be familiar with.TIA Portal Master Project (Level 5) is the culmination of everything. In that course, you'll program an entire power plant using all five PLC programming languages (in PARALLEL!) with a full HMI. It's a massive and complex project that really showcases your talents in an interview! Who this course is for This course requires students to already know the basics of PLC programming. You should already be familiar with RSLogix 500 memory / IO addresses. As we will be developing interfaces against a running instance of a PLC program running live on RSLogix 500 Emulate, you should already be familiar with that software as well as RSLinx and RSLogix 500. For those lacking the requisite knowledge to make the most of this course, my first course "PLC Programming from Scratch (PLC I) covers everything you'll need and a whole lot more. 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Free Download Probability Distribution Models Published 10/2024 Created by Robert (Bob) Steele MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lectures ( 3h 8m ) | Size: 2.27 GB Mastering the Language of Data: From Distributions to Predictive Models What you'll learnIdentify various data distributions by examining the shape, center, and spread of datasets in real-world scenarios. Explain the significance of different data shapes, including symmetric, skewed, and bimodal distributions, in various contexts. Classify different types of distributions such as Uniform, Poisson, Exponential, and Binomial through theoretical understanding and practical examples. Analyze datasets to determine the appropriate mathematical models and describe their underlying patterns and behaviors. Compare the characteristics of different data distributions and their implications in quantitative analysis. Apply mathematical models to perform quantitative analysis, make predictions, and understand phenomena governing data in real-life situations. Evaluate the accuracy and relevance of different statistical models in the context of real-world applications, such as predicting sales outcomes or analyzing tr Create visual and verbal presentations of data analysis results, demonstrating a thorough understanding of data shapes and mathematical models. RequirementsBasic Mathematical Skills: Familiarity with fundamental mathematical concepts, including basic arithmetic, algebra, and probability. Introductory Statistics: A foundational understanding of basic statistical concepts, such as mean, median, mode, and standard deviation. Analytical Thinking: An ability to engage in logical reasoning and problem-solving to analyze data and interpret results. Computer Literacy: Basic proficiency in using a computer, including the ability to navigate and utilize software tools for data analysis. Interest in Data Analysis: A keen interest in understanding and working with data, as well as a desire to learn about statistical analysis and mathematical modeling. Access to a Computer: Parti[beeep]nts should have access to a computer for completing course exercises and assignments. DescriptionWelcome to a journey through the fascinating world of data shapes and mathematical models! In this course, we will embark on a deep dive into the three pivotal pillars of statistical data analysis: Shape, Center, and Spread, unraveling the mysteries behind diverse data distributions.Starting with the Shape of Data, we will explore how data can be represented through various distributions, emphasizing the significance of recognizing and understanding different data shapes in real-world scenarios. Take the corporate world, for example, where salaries often follow a skewed distribution, or the predictable intervals of atom decay, each presenting unique characteristic distributions. Through practical examples and interactive sessions, we will identify and analyze single-peaked histograms, symmetric, skewed, and bimodal distributions, gaining insights into the intrinsic patterns and behaviors of different datasets.Diving deeper, we will introduce and demystify a range of Mathematical Descriptions of Data Shapes. From the simplicity of Uniform Distributions, seen in rolling a fair die, to the complexity of Poisson Distributions, representing events in fixed intervals, we will traverse the landscape of Exponential and Binomial Distributions, uncovering the intricacies of these mathematical models. Each session will be filled with real-life examples, hands-on exercises, and discussions, ensuring that you not only grasp the theoretical aspects but also develop a practical understanding of these concepts.Our journey does not stop at mere identification and description; we delve into the Importance of Mathematical Models, unraveling how they empower us to perform quantitative analysis, make accurate predictions, and gain a profound understanding of the underlying phenomena governing the data. Whether it's predicting sales outcomes, analyzing traffic patterns, or exploring natural occurrences, you will learn to apply these models confidently and accurately.In conclusion, this course is designed to transform your perspective on data, equipping you with the knowledge and skills to analyze, describe, and predict with precision. Whether you are a student stepping into the world of statistics, a professional looking to sharpen your data analysis skills, or simply a data enthusiast eager to understand the language of numbers, this course is your gateway to mastering the art of deciphering data.Join us on this exhilarating adventure through the world of data shapes and mathematical models, and emerge with the tools and confidence to conquer the realm of statistical analysis! Who this course is forStudents: Those stepping into the world of statistics or pursuing degrees in fields such as mathematics, data science, economics, engineering, or social sciences. Professionals: Individuals working in fields where data analysis is essential, such as marketing, finance, business analytics, healthcare, and research, looking to sharpen their data analysis skills. Data Enthusiasts: Anyone with a keen interest in understanding and interpreting data, regardless of their professional background. Researchers: Academics and scientists who need to analyze data as part of their research work and wish to deepen their understanding of statistical methods. Educators: Teachers and instructors who teach statistics or data analysis and want to enhance their teaching methodologies with a deeper understanding of data shapes and mathematical models. Career Changers: Individuals looking to transition into data-related roles and seeking to build a solid foundation in statistical data analysis. Decision Makers: Managers and executives who want to leverage data-driven insights to inform business strategies and decisions. 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Free Download Priority Navigator Framework For Effective Decision-Making Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 204.27 MB | Duration: 0h 31m Mastering the Art of Strategic Initiative Selection What you'll learn Identify and prioritize initiatives based on interest, productivity, and influence, ensuring you choose the most impactful and relevant projects or ideas. Evaluate the efficiency of initiatives using key indicators to measure their relevance to personal or organizational goals and expected outcomes. Analyze influence dynamics and ease of implementation to determine which initiatives will have the greatest impact and be easiest to execute. Master a structured decision-making framework that helps you make informed, strategic choices, driving meaningful results in any context. Requirements No prior knowledge required-this course is designed for beginners. Basic understanding of decision-making processes is helpful but not necessary. Willingness to apply concepts to real-life personal or professional decisions. Description Unlock the potential of your decision-making with the Priority Navigator. This course focuses on selecting and prioritizing the right initiatives that will deliver the most significant results, whether for personal projects or in a professional environment. You will learn to apply this model across various contexts, from community organizing to corporate management, empowering you to tackle decision-making challenges with confidence. You will start by delving into the core concepts of the framework, learning how to evaluate initiatives based on their interest, productivity, and influence. Through engaging lessons, real-world examples, and interactive quizzes, you'll enhance your ability to assess initiatives effectively and grasp their dynamics within a broader context. By the end of this course, you will:Systematically prioritize key initiatives through a thorough evaluation process. Assess the effectiveness and relevance of programs using established benchmarks. Identify the most impactful and feasible projects by studying influence dynamics.Develop a structured approach to strategic decision-making that improves your ability to make informed choices. Join us to learn how to select strategic initiatives and gain the knowledge and confidence to make decisions that will positively influence your life, both in business and personally. Whether you aspire to be a better leader, lead community projects, or redesign your business processes, this course will equip you with the tools to navigate tough choices and achieve your objectives. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Where the Priority Navigator Methodology Can Be Used Section 2: The Methodology Lecture 3 Three key cornerstones of Priority Navigator Methodology Lecture 4 Selecting the Most Interesting and Desirable Initiatives Lecture 5 Evaluating Productivity and Efficiency of Initiatives Lecture 6 Maximizing Influence and Ease of Implementation Professionals looking to improve decision-making skills in business or project management.,Entrepreneurs and leaders seeking to prioritize and implement initiatives effectively.,Students or individuals wanting to enhance their strategic thinking and goal-setting abilities.,Anyone interested in learning a structured, practical approach to making impactful decisions in any area of life. Homepage https://www.udemy.com/course/priority-navigator/ Rapidgator https://rg.to/file/0df00b1cc643b7339ff17f9db399f5cd/zbgtj.Priority.Navigator.Framework.For.Effective.DecisionMaking.rar.html Fikper Free Download https://fikper.com/2GP3TqGChd/zbgtj.Priority.Navigator.Framework.For.Effective.DecisionMaking.rar.html No Password - Links are Interchangeable

Free Download Principles and Practices of the Generative AI Life Cycle Published 10/2024 Created by YouAccel Training MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 182 Lectures ( 17h 10m ) | Size: 4.62 GB Explore key concepts, methodologies, and best practices for every stage of the GenAI life cycle. What you'll learn Key Phases of the GenAI Life Cycle: Understand the core stages of the generative AI life cycle and their significance in successful AI deployment. The Role of Governance in AI Projects: Learn about governance frameworks to ensure ethical and regulatory alignment throughout the AI life cycle. Problem Identification and Requirement Gathering: Explore strategies for defining problems and aligning GenAI solutions with business goals. Data Types and Acquisition Strategies: Gain insights into selecting and acquiring the right data for GenAI model development. Ensuring Data Quality and Ethics: Understand the importance of data accuracy, quality, and ethical considerations during the collection process. GenAI Model Design and Selection: Learn to select the most suitable generative AI models for different tasks and design custom models. Optimizing Model Performance: Discover techniques for tuning and optimizing models to achieve peak performance. Training Data Preparation and Monitoring: Explore how to prepare and select training data and monitor the training process to avoid common pitfalls. Deploying and Integrating GenAI Models: Learn best practices for integrating generative AI into existing systems and managing change effectively. Continuous Monitoring and Model Maintenance: Understand the tools and metrics needed to monitor performance and handle model drift over time. Data Privacy and Cybersecurity Measures: Gain insights into safeguarding models and data from cyber threats and ensuring compliance with privacy regulations. Auditing and Reporting AI Models: Learn to conduct performance audits, maintain transparency, and document AI life cycles for compliance. Managing AI Model Updates and Versions: Explore strategies for managing versions and implementing feedback loops for continuous improvement. Decommissioning AI Models: Understand when and how to retire models ethically while ensuring proper data and model archival strategies. User Feedback and Iterative Development: Learn to incorporate user feedback and manage iterative development cycles for ongoing improvements. Future Trends in GenAI Life Cycle Management: Gain insights into emerging technologies, AI governance trends, and innovations shaping the future of GenAI. Requirements No Prerequisites. Description This course provides a comprehensive exploration of the generative AI (GenAI) life cycle, offering students a robust understanding of the key principles and processes involved in developing, deploying, and maintaining GenAI models. Designed to provide a theoretical foundation, the course emphasizes the strategic aspects of each phase in the GenAI life cycle, ensuring parti[beeep]nts gain a nuanced perspective of how generative AI evolves from concept to deployment and beyond.Students begin by exploring the GenAI life cycle, understanding its phases, and grasping why effective management is crucial to ensuring both operational success and ethical integrity. This introductory section establishes a baseline for the more detailed discussions to come, guiding parti[beeep]nts through the various roles that stakeholders play and the essential governance frameworks that maintain alignment with regulatory standards and organizational goals.The journey continues with an in-depth analysis of problem identification and requirement gathering. Here, students learn the importance of aligning AI capabilities with business objectives, as well as the techniques for collecting and validating functional requirements with relevant stakeholders. The focus on these initial phases emphasizes the significance of groundwork in ensuring GenAI projects are goal-oriented and feasible.As students move into the stages of data collection and preparation, they engage with the critical role that data plays in training effective GenAI models. Topics such as data sourcing, quality assurance, and ethical considerations ensure parti[beeep]nts develop a deep awareness of the complexities involved in data management for AI. The course introduces students to preprocessing techniques essential for transforming raw data into valuable training inputs, reinforcing the importance of careful preparation in achieving desired outcomes.In subsequent sections, the course delves into the intricacies of model design, selection, and optimization. Students gain insights into the architectural choices for GenAI models, alongside strategies for selecting and designing models tailored to specific tasks. Performance tuning and stakeholder validation are also explored, emphasizing the collaborative and iterative nature of GenAI development. The discussions on model training build on these concepts, highlighting the technical challenges and troubleshooting strategies necessary to refine models effectively.The deployment phase addresses the complexities of integrating GenAI systems into existing infrastructures and ensuring scalability. Students learn how to prepare for deployment, manage change, and implement continuous monitoring processes post-deployment. Emphasis is placed on the importance of real-time monitoring to detect issues such as model drift, providing insights into how organizations can maintain optimal performance throughout the model's lifecycle.The course also covers data and model security, focusing on safeguarding models from cyber threats and ensuring compliance with data privacy regulations. Techniques such as encryption, incident response, and security control implementation offer parti[beeep]nts practical strategies to secure GenAI applications. Model auditing and reporting are presented as essential tools for promoting transparency, documenting compliance, and building stakeholder trust.Long-term model maintenance and eventual decommissioning are also discussed, providing students with insights into how models are updated, managed, and retired in a controlled and ethical manner. This section highlights the importance of feedback loops, version control, and strategic model updates in ensuring continued relevance and operational efficiency.The course concludes with a look into future trends and the evolving landscape of GenAI life cycle management. Topics include the impact of emerging technologies, the role of automation in lifecycle processes, and the shift toward AI-driven governance. These discussions encourage students to think critically about the future of generative AI and its potential to shape industries while maintaining ethical and sustainable practices.Through this comprehensive exploration, students will develop the theoretical understanding necessary to appreciate the intricacies of the GenAI life cycle. This knowledge equips them to engage thoughtfully with the evolving field, fostering an informed perspective on the challenges and opportunities that lie ahead. Who this course is for AI Enthusiasts and Tech Professionals - Individuals interested in understanding the complete lifecycle of generative AI models and their practical applications. Business Leaders and Managers - Professionals seeking to align AI capabilities with business strategies for innovation and competitive advantage. Data Scientists and AI Developers - Those looking to deepen their knowledge of model selection, optimization, and integration within real-world contexts. Governance and Compliance Officers - Individuals responsible for implementing AI governance frameworks and ensuring ethical compliance in AI systems. IT and System Administrators - Professionals managing the deployment, monitoring, and maintenance of AI solutions across organizational infrastructures. Consultants and Project Managers - Those leading AI initiatives who need a solid grasp of requirement gathering, stakeholder alignment, and lifecycle management. Students and Academics in AI and Data Science - Learners aiming to build a theoretical foundation in generative AI to support future research or professional practice. 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Free Download Principles Of Governance In Generative AI Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.94 GB | Duration: 16h 57m Navigating Risks, Compliance, and Ethics for Responsible Generative AI What you'll learn The Fundamentals of Generative AI (GenAI): Understand the core concepts and transformative potential of GenAI technology. The Importance of Governance in AI: Explore why governance frameworks are essential for managing AI innovations responsibly. Risk Identification and Management: Learn to identify, assess, and mitigate risks associated with deploying GenAI systems. Third-Party Risk Management: Gain insight into evaluating and monitoring external partnerships to reduce third-party risks. Vendor Compliance Strategies: Develop skills to ensure that vendors align with governance and security policies. Data Leakage Prevention: Understand the risks of data leakage and explore methods to protect sensitive information in AI workflows. Data Governance Frameworks: Learn how to define data ownership, stewardship, and retention policies for AI systems. Regulatory Compliance in AI: Explore key regulations affecting GenAI, including strategies for managing compliance across jurisdictions. Access Control Implementation: Gain practical insights into role-based access controls to secure GenAI applications. User Awareness and Training Programs: Discover effective strategies for developing user training and awareness initiatives. Monitoring User Behavior: Learn how to monitor GenAI system usage to detect anomalies and prevent misuse. Identity Governance for AI Systems: Understand how to manage user identities and authentication securely in AI platforms. Incident Response Planning: Develop strategies to respond effectively to AI-related incidents and conduct post-incident analysis. Ethical Considerations in GenAI: Explore the ethical challenges in AI governance, focusing on transparency, fairness, and bias mitigation. Governance of Approved Applications: Learn how to evaluate and update approved GenAI tools to align with evolving policies. Future Trends in GenAI Governance: Gain insights into emerging technologies, AI regulation trends, and the future of AI governance practices. Requirements No Prerequisites. Description This course offers a comprehensive exploration of governance frameworks, regulatory compliance, and risk management tailored to the emerging field of Generative AI (GenAI). Designed for professionals seeking a deeper understanding of the theoretical foundations that underpin effective GenAI governance, this course emphasizes the complex interplay between innovation, ethics, and regulatory oversight. Students will engage with essential concepts through a structured curriculum that delves into the challenges and opportunities of managing GenAI systems, equipping them to anti[beeep]te risks and align AI deployments with evolving governance standards.The course begins with an introduction to Generative AI, outlining its transformative potential and the importance of governance to ensure responsible use. Parti[beeep]nts will examine key risks associated with GenAI, gaining insight into the roles of various stakeholders in governance processes. This early focus establishes a theoretical framework that guides students through the complexities of managing third-party risks, including the development of vendor compliance strategies and continuous monitoring of external partnerships. Throughout these sections, the curriculum emphasizes how thoughtful governance not only mitigates risks but also fosters innovation in AI applications.Parti[beeep]nts will explore the intricacies of regulatory compliance, focusing on the challenges posed by international legal frameworks. This segment highlights strategies for managing compliance across multiple jurisdictions and the importance of thorough documentation for regulatory audits. The course also covers the enforcement of access policies within GenAI applications, offering insight into role-based access and data governance strategies that secure AI environments against unauthorized use. These discussions underscore the need for organizations to balance security and efficiency while maintaining ethical practices.Data governance is a recurring theme, with modules that explore the risks of data leakage and strategies for protecting sensitive information in GenAI workflows. Students will learn how to manage data rights and prevent exfiltration, fostering a robust understanding of the ethical implications of data use. This section also introduces students to identity governance, illustrating how secure authentication practices and identity lifecycle management can enhance the security and transparency of AI systems. Parti[beeep]nts will be encouraged to think critically about the intersection between privacy, security, and user convenience.Risk modeling and management play a central role in the curriculum, equipping students with the tools to identify, quantify, and mitigate risks within GenAI operations. The course emphasizes the importance of proactive risk management, presenting best practices for continuously monitoring and adapting risk models to align with organizational goals and ethical standards. This focus on continuous improvement prepares students to navigate the dynamic landscape of AI governance confidently.Parti[beeep]nts will also develop skills in user training and awareness programs, learning how to craft effective training initiatives that empower users to engage with GenAI responsibly. These modules stress the importance of monitoring user behavior and maintaining awareness of best practices in AI governance, further strengthening the theoretical foundation of the course. Through this emphasis on training, students will gain practical insights into how organizations can foster a culture of responsible AI use and compliance.As the course concludes, students will explore future trends in GenAI governance, including the integration of governance frameworks within broader corporate strategies. The curriculum encourages parti[beeep]nts to consider how automation, blockchain, and emerging technologies can support AI governance efforts. This forward-looking approach ensures that students leave with a comprehensive understanding of how governance practices must evolve alongside technological advancements.This course offers a detailed, theory-based approach to GenAI governance, emphasizing the importance of thoughtful risk management, compliance, and ethical considerations. By engaging with these critical aspects of governance, parti[beeep]nts will be well-prepared to contribute to the development of responsible AI systems, ensuring that innovation in GenAI aligns with ethical principles and organizational goals. Overview Section 1: Course Resources and Downloads Lecture 1 Course Resources and Downloads Section 2: Introduction to Generative AI (GenAI) Governance Lecture 2 Section Introduction Lecture 3 What is Generative AI? Lecture 4 Case Study: Bridging Creativity and Ethics in Digital Art and Music Lecture 5 The Importance of Governance in GenAI Lecture 6 Case Study: Navigating GenAI Governance Lecture 7 Overview of GenAI Risks Lecture 8 Case Study: Navigating Ethical and Practical Challenges in Generative AI Lecture 9 Key Stakeholders in GenAI Governance Lecture 10 Case Study: Navigating GenAI in Healthcare Lecture 11 Governance Frameworks for GenAI Lecture 12 Case Study: Building Ethical AI Lecture 13 Section Summary Section 3: Understanding Third-Party Risk Management in GenAI Lecture 14 Section Introduction Lecture 15 Defining Third-Party Risk Lecture 16 Case Study: Navigating Third-Party Risks Lecture 17 Identifying and Assessing Third-Party Risks Lecture 18 Case Study: Managing Third-Party Risks in Generative AI Lecture 19 Mitigating Third-Party Risks in GenAI Applications Lecture 20 Case Study: Enhancing Third-Party Risk Management in AI Lecture 21 Vendor Compliance in GenAI Systems Lecture 22 Case Study: Mastering Vendor Compliance Lecture 23 Continuous Monitoring of Third-Party Relationships Lecture 24 Case Study: Enhancing GenAI Innovation Lecture 25 Section Summary Section 4: Data Leakage Protection in GenAI Systems Lecture 26 Section Introduction Lecture 27 Understanding Data Leakage in GenAI Lecture 28 Case Study: Addressing Data Leakage in Generative AI Lecture 29 Data Leakage Risks in Generative AI Models Lecture 30 Case Study: Navigating Data Privacy Challenges in Generative AI Lecture 31 Protecting Sensitive Data in GenAI Workflows Lecture 32 Case Study: Balancing Innovation and Security Lecture 33 Data Rights Management in GenAI Lecture 34 Case Study: Balancing GenAI Innovation and Data Rights Lecture 35 Preventing Data Exfiltration in GenAI Lecture 36 Case Study: Strategies for Protecting Sensitive Data in GenAI Lecture 37 Section Summary Section 5: Regulatory Compliance in Generative AI Lecture 38 Section Introduction Lecture 39 Overview of Regulatory Compliance for AI Systems Lecture 40 Case Study: Navigating AI Governance Lecture 41 Key Regulations Affecting GenAI Governance Lecture 42 Case Study: Navigating GenAI Innovation Lecture 43 Compliance Strategies for GenAI Applications Lecture 44 Case Study: Navigating Compliance Challenges in GenAI Lecture 45 Managing Compliance Across Jurisdictions Lecture 46 Case Study: Navigating AI Innovation and Compliance Lecture 47 Reporting and Documentation for Regulatory Audits Lecture 48 Case Study: Navigating Compliance Lecture 49 Section Summary Section 6: Enforcing Access Policies for GenAI Applications Lecture 50 Section Introduction Lecture 51 Access Control Fundamentals for GenAI Lecture 52 Case Study: Adaptive Access Control Strategies for GenAI Lecture 53 Implementing Role-Based Access in GenAI Lecture 54 Case Study: Enhancing Security Lecture 55 Restricting Unauthorized Access to GenAI Tools Lecture 56 Case Study: Enhancing GenAI Security Lecture 57 Enforcing Data Access Policies Lecture 58 Case Study: Navigating Data Governance in GenAI Lecture 59 Access Review and Revocation Processes Lecture 60 Case Study: Optimizing Access Management for GenAI Security Lecture 61 Section Summary Section 7: User Awareness and Training for GenAI Lecture 62 Section Introduction Lecture 63 The Role of User Training in GenAI Governance Lecture 64 Case Study: Navigating Ethical Challenges in GenAI Lecture 65 Developing Effective GenAI User Awareness Programs Lecture 66 Case Study: Empowering Ethical AI Use Lecture 67 Common User Missteps in GenAI Usage Lecture 68 Case Study: Strategic GenAI Integration Lecture 69 Best Practices for Training on GenAI Use Policies Lecture 70 Case Study: Navigating Ethical AI Implementation and Training Challenges Lecture 71 Monitoring and Updating User Training Programs Lecture 72 Case Study: Enhancing GenAI Integration Lecture 73 Section Summary Section 8: Approved and Disapproved GenAI Applications Lecture 74 Section Introduction Lecture 75 Identifying Safe GenAI Tools Lecture 76 Case Study: Navigating Bias and Ethics Lecture 77 Evaluating GenAI Applications for Governance Compliance Lecture 78 Case Study: Navigating AI Governance Lecture 79 Risks of Unapproved GenAI Applications Lecture 80 Case Study: Navigating Ethical AI Lecture 81 Approval Processes for GenAI Tools Lecture 82 Case Study: TechNova's Journey to Responsible GenAI Deployment Lecture 83 Updating and Communicating Approved Applications Lecture 84 Case Study: TechNova's Journey in Responsible Innovation and Governance Lecture 85 Section Summary Section 9: Identity Governance in GenAI Systems Lecture 86 Section Introduction Lecture 87 Understanding Identity Governance for AI Lecture 88 Case Study: Balancing Privacy, Compliance, and Ethics in Identity Management Lecture 89 Managing User Identities in GenAI Platforms Lecture 90 Case Study: Navigating Identity Management Challenges in GenAI Lecture 91 Ensuring Secure Authentication in GenAI Applications Lecture 92 Case Study: Balancing Authentication, User Convenience, and Privacy Lecture 93 Identity Lifecycle Management in GenAI Lecture 94 Case Study: Navigating Identity Lifecycle Management in Generative AI Systems Lecture 95 Addressing Identity Risks in GenAI Lecture 96 Case Study: Identity Governance Challenges in GenAI Lecture 97 Section Summary Section 10: Risk Modeling and Management for GenAI Lecture 98 Section Introduction Lecture 99 Introduction to Risk Modeling in GenAI Lecture 100 Case Study: Navigating Risks in Generative AI Lecture 101 Identifying Key Risks in GenAI Operations Lecture 102 Case Study: Balancing Innovation, Bias Mitigation, and Workforce Stability Lecture 103 Quantifying and Prioritizing GenAI Risks Lecture 104 Case Study: Balancing Innovation with Ethical Risk Management at TechNova Lecture 105 Strategies for Mitigating GenAI Risks Lecture 106 Case Study: Navigating Ethical and Operational Challenges in GenAI Deployment Lecture 107 Monitoring and Adapting Risk Models Lecture 108 Case Study: TechNova's Holistic Approach to Risk Management and Innovation Lecture 109 Section Summary Section 11: Data Governance for Generative AI Systems Lecture 110 Section Introduction Lecture 111 The Importance of Data Governance in GenAI Lecture 112 Case Study: Navigating Data Governance and Ethics in GenAI Lecture 113 Defining Data Ownership and Stewardship in GenAI Lecture 114 Case Study: Navigating Data Governance Challenges in GenAI Lecture 115 Data Integrity and Accuracy in GenAI Systems Lecture 116 Case Study: TechNova's Journey to Ethical and Reliable AI Data Management Lecture 117 Policies for Data Retention and Deletion in GenAI Lecture 118 Case Study: Balancing Compliance and Innovation Lecture 119 Auditing Data Governance Practices in GenAI Lecture 120 Case Study: Enhancing Trust through Comprehensive Data Governance in AI Lecture 121 Section Summary Section 12: User Behavior Monitoring in GenAI Systems Lecture 122 Section Introduction Lecture 123 Monitoring User Activity in GenAI Platforms Lecture 124 Case Study: MedSys's GenAI Integration in Healthcare Diagnostics Lecture 125 Identifying Anomalous Behavior in GenAI Use Lecture 126 Case Study: Enhancing Anomaly Detection in GenAI Systems Lecture 127 Tools for Tracking GenAI User Activity Lecture 128 Case Study: Balancing Ethical AI and Privacy Lecture 129 Privacy Considerations in User Monitoring Lecture 130 Case Study: Balancing Innovation and Privacy Lecture 131 Responding to Suspicious Behavior in GenAI Lecture 132 Case Study: Balancing Trust, Privacy, and Collaborative Defense Strategies Lecture 133 Section Summary Section 13: Acceptable Use Policies for GenAI Applications Lecture 134 Section Introduction Lecture 135 Defining Acceptable Use for GenAI Lecture 136 Case Study: Crafting Responsible GenAI Use Lecture 137 Crafting Comprehensive Use Policies for GenAI Lecture 138 Case Study: Developing Responsible GenAI Policies Lecture 139 Educating Users on Acceptable Use Policies Lecture 140 Case Study: Crafting a Balanced AUP Lecture 141 Enforcing Acceptable Use Guidelines Lecture 142 Case Study: Ethical Governance Strategies for GenAI Lecture 143 Revising Acceptable Use Policies Lecture 144 Case Study: Navigating AI Ethics Lecture 145 Section Summary Section 14: Incident Response and Management for GenAI Systems Lecture 146 Section Introduction Lecture 147 Defining GenAI Incidents Lecture 148 Case Study: Navigating GenAI Challenges Lecture 149 Incident Response Planning for GenAI Applications Lecture 150 Case Study: Enhancing GenAI Safety Lecture 151 Key Steps in Managing GenAI Incidents Lecture 152 Case Study: TechNova's Strategic Response to GenAI Incident Lecture 153 Post-Incident Analysis and Reporting Lecture 154 Case Study: Enhancing AI Governance Lecture 155 Lessons Learned from GenAI Incidents Lecture 156 Case Study: Ensuring AI Accountability Lecture 157 Section Summary Section 15: Ethical Considerations in GenAI Governance Lecture 158 Section Introduction Lecture 159 Ethical Challenges in Generative AI Lecture 160 Case Study: Navigating Ethical Challenges of GenAI in Newsrooms Lecture 161 Ensuring Transparency and Fairness in GenAI Lecture 162 Case Study: Balancing Innovation and Ethics Lecture 163 Bias Mitigation in GenAI Outputs Lecture 164 Case Study: Tackling Bias in Generative AI Lecture 165 Responsible AI Practices and GenAI Governance Lecture 166 Case Study: TechNova's Journey Towards Responsible Innovation and Governance Lecture 167 Ethical Audits for GenAI Systems Lecture 168 Case Study: Navigating Ethical Challenges in Generative AI Lecture 169 Section Summary Section 16: Future Trends and Innovations in GenAI Governance Lecture 170 Section Introduction Lecture 171 Emerging Technologies in GenAI Governance Lecture 172 Case Study: Blockchain and Ethical AI Lecture 173 AI Regulation and Policy Trends Lecture 174 Case Study: Global AI Regulation Lecture 175 Integrating AI Governance into Broader Corporate Governance Lecture 176 Case Study: Integrating AI Governance Lecture 177 Automation and AI Governance Tools Lecture 178 Case Study: Navigating AI Governance: Transparency, Fairness, and Privacy Lecture 179 The Future of GenAI Governance Practices Lecture 180 Case Study: InnovateAI: Crafting a Global Framework for Responsible GenAI Lecture 181 Section Summary Business Leaders and Executives seeking to align AI innovation with governance frameworks and ethical practices.,AI and Data Governance Professionals responsible for developing policies and managing risks associated with Generative AI systems.,Compliance Officers and Legal Advisors aiming to understand the regulatory landscape and ensure compliance with AI laws across jurisdictions.,IT Managers and System Administrators involved in the implementation, monitoring, and security of AI platforms.,Risk Management Professionals looking to enhance their skills in assessing and mitigating risks specific to AI technologies.,Educators and Researchers in AI Ethics and Policy interested in the latest governance strategies and frameworks for responsible AI use.,Tech Enthusiasts and Consultants who want to stay ahead of trends in AI governance to better advise businesses and organizations. 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Free Download Primavera P6 Project Planning and Scheduling Masterclass Last updated 9/2024 Created by Basharat Bhatti MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 45 Lectures ( 16h 24m ) | Size: 6.6 GB Master Primavera P6 Project Management Skills using the Primavera P6 Training - Be an Expert at Primavera P6 Software! What you'll learn Earn (16) Project Management Institute, PMI-PMP PDUs All you need to become a capable and professional project scheduler using the Oracle Primavera P6 Become one of the top Primavera P6 users in your project team Carry out regular project planning & scheduling tasks faster than ever before Discover how to value your projects by learning Primavera P6 and many other features Earned value management, monitoring projects using S-Curves Managing project risks using primavera p6 professional Learn to build a complete project schedule from scratch Requirements No previous experience with Oracle Primavera P6 required An open mind and a willingness to learn Primavera P6! A laptop, tablet, smartphone or Ipad A good pair of headphones Description You want to learn how to use Primavera P6 Professional Project Management Software, right?Start using the Primavera P6 Professional to create, manage, monitor and control your project schedules likes a pro today!Either you're completely brand new, or you've played around with the Primavera P6 but want to get more comfortable with Primavera P6 Project Management Software. Either way, this course will be great for you.Primavera P6 is the world's #1 project schedule management software application and this full course is the best way to learn how to use it.Create, and plan your project schedules the way you expect them!Get Instant access to:14+ hours of easy-to-watch video lessonsEasy to follow project example to get along with the lessonsPremium instructor support if you ever get stuckLifetime updates to Primavera P6 Professional course updatesIn this course, you'll gain access to premium video lessons that break down the core concepts behind the most popular project schedule management software. These lessons are designed for all type of learners, and they're comprehensive enough to leave you with a full understanding of each topic.These lessons are detailed, which means you'll get a chance to practice everything you learn and build your concepts even as you're getting to grips with Primavera P6 Professional Project Management software.Download and Install Primavera P6 Professional Software. Within the course, you'll be presented with the instructions to download and install the Primavera P6 professional software (trial version) so that you can practice and learn as needed!I'll be teaching the course using the latest Primavera P6 professional software, but if you have a previous version, you can still learn to create your project schedules like a pro.Please note .I'll be here for you every step of the way. If you have any questions about the course content or anything related to this topic, you can always post a question in the course discussion area or can also send me a direct message.I want to make this the best course, on how to use the Primavera P6 Professional project management software for your projects. So if there is any way I can improve this course, just let me know and I'll try to make it happen.What is this Primavera P6 course all about?In this complete training to the Primavera P6 project management software, you'll not only learn most of the tools available in Primavera P6, but also learn how to plan, schedule, monitor and control your projects, within your organization, industry or the service sector you are currently working with.This course will cover everything you need to know to start, including:Primavera P6 core conceptsGetting started with Primavera P6 ProfessionalNavigating and customizing the workspaceUnderstanding the Primavera P6 main menuCarry out regular project planning and scheduling tasks faster than beforeLearn to build a complete project schedule from scratchUpdating and maintaining scheduleMonitoring and controlling project schedulesProjects performance monitoring - Printing reports, and much more .Key course topicsThis course may be designed for all levels but it's also designed to leave you equipped with pro-level techniques and the confidence to apply them while managing your projects. Throughout this course, you'll learn how to work with and master the following topics:Enterprise Project Structure (EPS)Organization Break Down Structure (OBS)Work Break Down Structure (WBS)Activities and RelationshipsActivity CodesCalendarsConstraintsRoles and ResourcesCostBaselinesProject status updateEarned Value Management (EVM)Earned Value Analysis (EVA)S CurvesRisk ManagementProject ReportsBy the end of this course, your confidence as a Primavera P6 Professional software user will rise. You'll have a thorough understanding of how to use the Primavera P6 Professional for your projects planning and scheduling or as a career opportunity as well.Master the most powerful and robust Primavera P6 Project Management software today!Primavera P6 is a powerful project planning and schedule monitoring tool that you can start mastering today with the help of this course. With lessons and support at every step - you'll soon be on your way to creating incredible project schedules using the Primavera P6 Professional software.Go ahead and click the enroll button, and I'll see you in the class Now!Good luck,Basharat Bhatti Who this course is for People working on the Projects Managers, Project Management Professionals, Project Schedulers and Planners Anyone, Oracle Primavera P6 software learners Homepage https://www.udemy.com/course/primavera-p6-learning-foundations/ Screenshot Rapidgator https://rg.to/file/0260d9b51a435a58048f22d0c3777e92/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part2.rar.html https://rg.to/file/1e49a1c2151ac7e79518a44b69bfef2b/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part3.rar.html https://rg.to/file/42ef4d4e168b8aba9d7ec9f45a1a1419/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part7.rar.html https://rg.to/file/b6685d9b5ef3bb709a82f04a4e63b36c/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part4.rar.html https://rg.to/file/befa1dacbafedb64e2eedc99692e1a88/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part6.rar.html https://rg.to/file/df492571b6d227e69248bf3fe2358048/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part1.rar.html https://rg.to/file/ef850bc2d348de31411624e6c9761a54/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part5.rar.html Fikper Free Download https://fikper.com/Gm9bp3OV75/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part2.rar.html https://fikper.com/HqY17E5Src/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part5.rar.html https://fikper.com/QKz0qYnQAG/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part4.rar.html https://fikper.com/cQXMRvKoI3/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part3.rar.html https://fikper.com/eP5lB4In4P/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part6.rar.html https://fikper.com/fUVUbAwuXd/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part7.rar.html https://fikper.com/w4M6gp9N9Z/hkhsg.Primavera.P6.Project.Planning.and.Scheduling.Masterclass.part1.rar.html No Password - Links are Interchangeable

Free Download Primavera P6 For Project Management A Complete Online Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 290.89 MB | Duration: 0h 55m Learn to Manage Projects Efficiently with Primavera P6-Master Scheduling, Resource Allocation, and Project Tracking What you'll learn Project Setup and Navigation Scheduling and Resource Management Progress Tracking and Reporting Advanced Project Controls and Risk Management Requirements Basic Project Management Knowledge Computer Skills Description Unlock the full potential of Primavera P6 with this comprehensive online training course! Designed for project managers, engineers, planners, and anyone looking to elevate their project management skills, this course covers everything you need to manage projects effectively-from setup to advanced scheduling and resource allocation. With hands-on exercises and real-world scenarios, you'll gain practical experience to confidently plan, track, and report on your projects.What You'll LearnProject Setup and Navigation: Start with the basics by creating new projects, defining calendars, and structuring work breakdown systems (WBS) for efficient project setup.Scheduling and Resource Management: Develop an effective schedule, assign resources, apply critical path analysis, and optimize timelines for project success.Progress Tracking and Reporting: Learn how to track project progress, compare actual vs. planned performance, and generate insightful reports to keep stakeholders informed.Advanced Features and Risk Management: Explore advanced scheduling techniques, integrate risk management, and leverage Primavera's powerful tools for multi-project management.Why Take This Course?Beginner-Friendly: No prior Primavera experience is required, although a basic understanding of project management is beneficial.Hands-On Learning: Each module includes practical exercises and real-life scenarios for a better grasp of each concept.Flexible Online Format: Learn at your own pace and revisit lessons as needed with lifetime access to course content.Professional Growth: Boost your project management expertise, making you a more valuable asset to your organization and opening doors to new career opportunities.Who This Course Is ForProject Managers looking to streamline project timelines and improve resource managementConstruction Managers handling complex scheduling and resource allocationEngineers and Planners aiming to enhance project control and scheduling expertiseAnyone interested in building a strong foundation in project management with Primavera P6Enroll today and take your project management skills to the next level with the industry-standard Primavera P6! Overview Section 1: Introduction Lecture 1 How to Create Enterprise Project Structure (EPS) Lecture 2 Organizational Breakdown Structure (OBS) Lecture 3 Creating a Project Lecture 4 L4_Project Settings Lecture 5 Create and Manage WBS Lecture 6 Adding Activities Lecture 7 Activity Type Lecture 8 Percent Complate Type Lecture 9 Activity Steps Lecture 10 Create and Manage Calenders Lecture 11 Assign Calendars and Fill Down Project Managers,Construction Managers,Engineers,Planners and Schedulers,Engineering Students,Oil and Gas Screenshot Homepage https://www.udemy.com/course/primavera6/ Rapidgator https://rg.to/file/0bac9e81d73973d611a551df3b18c439/zbnjb.Primavera.P6.For.Project.Management.A.Complete.Online.rar.html Fikper Free Download https://fikper.com/ZiukICellO/zbnjb.Primavera.P6.For.Project.Management.A.Complete.Online.rar.html No Password - Links are Interchangeable

Free Download Preventing And Combating School Bullying Cyberbullying Awar Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.24 GB | Duration: 2h 10m What if I'm Being Cyberbullied? What you'll learn Are you tired of witnessing the devastating effects of school bullying and its rapid evolution into the digital realm? Do you want to equip yourself with the knowledge, strategies, and tools to effectively prevent and combat this pervasive issue? Look no further! In this comprehensive online course, "Preventing and Combating School Bullying Cyberbullying Awareness and Solutions," we delve deep into the intricate world of cyberbullying - its challenges, impact, and most importantly, how to tackle it Requirements In order to successfully complete the course on "Preventing and Combating School Bullying: Understanding, Description Are you tired of witnessing the devastating effects of school bullying and its rapid evolution into the digital realm? Do you want to equip yourself with the knowledge, strategies, and tools to effectively prevent and combat this pervasive issue? Look no further! In this comprehensive online course, "Preventing and Combating School Bullying: Cyberbullying Awareness and Solutions," we delve deep into the intricate world of cyberbullying - its challenges, impact, and most importantly, how to tackle it head-on.This course is meticulously designed to provide you with a detailed understanding of cyberbullying - from its root causes to the latest trends. We leave no stone unturned in exploring the psychological and emotional consequences faced by victims while shedding light on the alarming rise of cyberbullying incidents.But it doesn't stop there. We go beyond awareness by equipping you with practical strategies and effective countermeasures. You'll gain invaluable insights into identifying warning signs, implementing preventive measures, fostering a safe online environment, and intervening when necessary. Our expert-led modules will empower you to take action against cyberbullying through evidence-based techniques that promote empathy, inclusivity, and respect.Not only will you emerge as a knowledgeable advocate against cyberbullying but also as a protector of vulnerable individuals within your community. By joining this course, you're investing in a brighter future where every student can thrive without fear or intimidation.Don't miss out on this life-changing opportunity! Enroll now in "Preventing and Combating School Bullying: Cyberbullying Awareness and Solutions" to become an influential force in eradicating cyberbullying once and for all. Together, let's create a safer digital landscape for our children! Overview Section 1: Introduction Lecture 1 Vidéo Lecture 2 Introduction Lecture 3 Course Outcomes Lecture 4 Course Requirements Lecture 5 Audience Persona Lecture 6 Welcome Email Section 2: Introduction to School Bullying and Cyberbullying Lecture 7 Vidéo Introduction to School Bullying and Cyberbullying Lecture 8 Understanding school bullying Lecture 9 Recognizing the prevalence of cyberbullying Lecture 10 Exploring the impact of cyberbullying on students Section 3: Types and Forms of Cyberbullying Lecture 11 Defining cyberbullying and its unique characteristics Lecture 12 Identifying different types of cyberbullying Lecture 13 Exploring common platforms used for cyberbullying Section 4: Identifying Signs and Effects of Cyberbullying Lecture 14 Recognizing signs that a student may be experiencing cyberbullying Lecture 15 Understanding the emotional and psychological effects of cyberbullying Lecture 16 Exploring the connection between cyberbullying and mental health Section 5: Legal and Ethical Considerations of Cyberbullying Lecture 17 Vidéo Legal and Ethical Considerations of Cyberbullying Lecture 18 Understanding the legal implications of cyberbullying Lecture 19 Exploring the role of schools and educators in addressing cyberbullying Lecture 20 Analyzing ethical considerations in dealing with cyberbullying incidents Section 6: Strategies for Prevention and Intervention Lecture 21 Vidéo Strategies for Prevention and Intervention Lecture 22 Implementing proactive strategies to prevent cyberbullying Lecture 23 Developing effective school-wide policies and programs Lecture 24 Understanding intervention strategies to support victims and address perpetrator Section 7: Creating a Cyber-Safe School Environment Lecture 25 Vidéo Creating a Cyber-Safe School Environment Lecture 26 Promoting digital citizenship and online safety education Lecture 27 Developing secure and monitored technology systems Lecture 28 Engaging parents and the community in the prevention of cyberbullying Section 8: Building Resilience and Empathy Lecture 29 Vidéo Building Resilience and Empathy Lecture 30 Fostering resilience in students affected by cyberbullying Lecture 31 Promoting empathy and kindness among students Lecture 32 Equipping students with coping strategies and skills Section 9: Effective Communication and Reporting Lecture 33 Developing open channels of communication in the school community Lecture 34 Teaching students how to effectively report cyberbullying incidents Lecture 35 Training educators on appropriate responses and documentation Section 10: Supporting Targeted Students and Bystanders Lecture 36 Providing effective support to victims of cyberbullying Lecture 37 Empowering bystanders to become upstanders Lecture 38 Implementing restorative practices and conflict resolution strategies Section 11: Evaluating and Sustaining Bullying Prevention Efforts Lecture 39 Vidéo Effective Communication and Reporting Lecture 40 Monitoring and evaluating the effectiveness of prevention programs Lecture 41 Adapting strategies to evolving technologies and cyberbullying trends Lecture 42 Ensuring sustainability of anti-cyberbullying initiatives Section 12: What if I'm Being Bullied? Lecture 43 What can you do if you're bullied? Lecture 44 Bullying quiz Lecture 45 YOUNG PEOPLE ASK What if I'm Being Cyberbullied? This course is designed for individuals who are interested in gaining a comprehensive understanding of school bullying and cyberbullying. 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Free Download Presentation Expert Ai & Gpt, Pitch Decks, Business Speech Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.99 GB | Duration: 2h 13m AI and ChatGPT Usage in Business Presentations Preparing. Pitch Decks, Business Presenting, Management Communications What you'll learnFormula of a compelling budget pitch Killer argumentation Logical storytelling Impactful visualization Building a Business Case Startup Pitch Deck AI & GPT usage RequirementsFor a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning. DescriptionWelcome to course: Presentation Expert: AI & GPT, Pitch Decks, Business Speech by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 215 countries and has been chosen by more than 590 000 students with more than 3.2 mln. registrations to our courses.Course Authors:1. Vipesh Singla, MBA, Agile Enterprise Coach, AI ExpertEmbark on a journey of transformation with Vipesh Singla, a seasoned Agile Enterprise Coach with an impressive track record. Certified and licensed as a SAFe Agile Coach and SAFe Practice Consultant, I bring a wealth of experience to the table.Throughout my career, I have played pivotal roles in Agile Transformations and Product Management Assignments for a diverse array of Global 2000 companies. Notably, I've collaborated with esteemed clients and employers from prestigious groups such as GAFAM, Big 4, Big Tech, Big Pharma, Fortune 100, and FTSE 100. My versatility shines through various roles, including Product Manager, Product Owner, Scrum Master, and Agile Coach.Education forms the foundation of my expertise, holding both an MBA and a Bachelor of Engineering degree from one of India's prestigious institutes. As a certified SAFe SPC/Agile Coach, I bring a proven track record of driving successful Agile transformations.With a track record that speaks volumes, I am proud to be at the forefront of Agile and Scrum coaching. Boasting a remarkable achievement of over 30,000 registrations across all my programs, I have had the privilege of influencing and guiding a diverse community of 18,000 unique students.My digital presence extends globally, reaching enthusiasts and professionals in 152 countries. This widespread outreach has allowed me to connect with a vast audience, transcending language barriers. Our community is not confined to English alone; we thrive in a multilingual environment, with students conversing in 42 languages.As an Agile Enterprise Coach, my commitment is to empower individuals worldwide with the knowledge and skills necessary for success in the dynamic field of product management. Join me on this transformative journey, and let's navigate the realm of Agile Product Management together.2. Olga Araz, experienced leader in business presentations.Olga is a renowned presentation strategist and founder of a large presentation agency. With 15+ years of experience in strategic consulting, Olga has honed her skills in creating and delivering compelling presentations to top management.Today, Olga works with leading executives, entrepreneurs, and organizations to help them achieve their goals through persuasive presentations. Her extensive experience and success in the field have earned her a reputation as a top presenter and presentation coach in the industry.Olga also shares her expertise as a lecturer at University, where she teaches presentation skills to undergraduate and graduate students. Her exceptional teaching style has earned her a spot among the top five professors at the economical faculty of the University.With Olga as your instructor, you can expect to learn from a true expert in the field of presentation strategy. Her unique blend of hands-on experience and teaching skills will equip you with the knowledge and skills you need to succeed in creating and delivering persuasive presentations.3. Max Kalyuzhnyi, experienced entrepreneur and CFOWith over 10 years of experience in finance, investing, and entrepreneurship, I am the founder of Domicile0, a self-service platform that enables tax compliance in a borderless world. I am also an ACCA member, a CFA level III candidate, fellow of Antler entrepreneurship program and a resident of Startup Lisboa, a leading incubator for early-stage startups in Portugal.In addition to Domicile0, I am a co-owner and former CFO/B2B of Yasno live, one of the largest online therapy marketplaces in the world, with over 30,000 active clients and 300 B2B partners. I helped Yasno grow its revenue, expand its market, and secure funding from reputable investors. I am passionate about building solutions that improve the well-being and mobility of people across the globe.A pitch deck is a concise and visually engaging presentation that is typically used in business settings to convey a company's or project's key information, value proposition, and investment opportunity. Pitch decks are primarily used when seeking investments, partnerships, or to secure new clients. They serve as a persuasive tool to convey the essence of your business or idea quickly and effectively. A well-crafted pitch deck can make a significant difference in the success of a business, startup, or project.Here are the key components and the needs of usage for a pitch deck in a business context:Introduction: Start with a compelling introduction that grabs the audience's attention and provides an overview of your business or project.Problem Statement: Clearly define the problem or need that your product or service addresses. This sets the stage for why your business is relevant.Solution: Present your solution and how it addresses the identified problem. Explain how your product or service works and what makes it unique.Market Opportunity: Describe the market size and potential for your business. This includes the target audience and its demographics.Business Model: Explain how your business will generate revenue, your pricing strategy, and the sales channels you plan to use.Traction: Showcase any significant achievements, customer testimonials, or partnerships to build credibility.Competitive Analysis: Identify your competitors and explain how your business is positioned relative to them. Highlight your competitive advantages.Team: Introduce your team and their relevant experience. This builds trust and confidence in your ability to execute the business plan.Financial Projections: Present your financial forecasts, including revenue, expenses, and profitability projections. This demonstrates the potential for a return on investment.Ask: Clearly state what you are seeking from your audience, whether it's investment, partnership, or something else.The skills related to pitching, business presenting, and business communication are important for experts and companies for several reasons:Securing Funding: Effective pitching skills are crucial when seeking investments or funding. A well-presented pitch deck can significantly increase the chances of attracting investors.Building Credibility: Strong presentation skills can help a company or individual build credibility with clients, partners, and stakeholders. A professional presentation conveys competence and confidence.Effective Communication: Business communication skills are essential for conveying ideas, plans, and strategies within a company. Clear and persuasive communication can drive team alignment and enhance productivity.Client Acquisition: In sales and client-facing roles, effective presentation and communication skills can help in acquiring new clients or customers. It can make the difference between a successful pitch and a missed opportunity.Career Advancement: For individuals, mastering these skills can lead to career advancement. Professionals who can effectively communicate their ideas and lead presentations tend to stand out and progress in their careers.Team Collaboration: Effective communication and presentation skills are essential for collaboration within teams. They help in conveying objectives, sharing updates, and ensuring everyone is on the same page.Strong understanding of pitching, business presenting skills, and business communication skills is crucial in today's competitive business environment. These skills not only enable companies to attract investments, win clients, and build credibility but also support the career growth of individuals. A combination of these skills can lead to more successful and impactful business endeavors. OverviewSection 1: Introduction Lecture 1 Onboarding to learning process Section 2: Pitch Decks: Business Presentation and Communication Lecture 2 Day I - Pitch Lecture 3 Day II - Problem Lecture 4 Day III - Client Lecture 5 Day IV - Why now? Lecture 6 Day V - Market Section 3: Business Presentations with a winning pitch Lecture 7 Formula of a compellig pitch Lecture 8 Killer Argumentation Lecture 9 Killer Argumentation: Case Study Lecture 10 Logical Storytelling Lecture 11 Logical Storytelling: Case Study Lecture 12 Impactful Visualisation Lecture 13 Impactful Visualisation: Case Study Lecture 14 Congratulations! Section 4: AI & ChatGPT usage for preparing of presentations Lecture 15 Create ChatGPT Account Lecture 16 ChatGPT Prompt Template for Crafting PowerPoint Outline Lecture 17 Enhancing Presentation Design using PowerPoint Designer Lecture 18 Generate a Presentation Outline using ChatGPT v0.1 Lecture 19 Move Presentation Content from ChatGPT to PowerPoint using VBA Lecture 20 Write ChatGPT Prompt for Crafting Outline for a Presentation V0.4 Section 5: Interactive part Lecture 21 Interactive Part Lecture 22 Congratulations with finishing from MTF No special requirements. Course for any who want to build a career at business domains or improve their knowledge. Homepage https://www.udemy.com/course/presentation-expert-ai-gpt-pitch-decks-business-speech/ Rapidgator https://rg.to/file/1ffce67047de4d900d47d84d238a74cc/tdpbi.Presentation.Expert.Ai..Gpt.Pitch.Decks.Business.Speech.part1.rar.html https://rg.to/file/3e87e0d123861208972bc4b943d4f541/tdpbi.Presentation.Expert.Ai..Gpt.Pitch.Decks.Business.Speech.part2.rar.html https://rg.to/file/ea289f202ab3f5bc1284fda57eb15cea/tdpbi.Presentation.Expert.Ai..Gpt.Pitch.Decks.Business.Speech.part3.rar.html Fikper Free Download https://fikper.com/GbvLqrIR0k/tdpbi.Presentation.Expert.Ai..Gpt.Pitch.Decks.Business.Speech.part1.rar.html https://fikper.com/jKB9bAEyAI/tdpbi.Presentation.Expert.Ai..Gpt.Pitch.Decks.Business.Speech.part2.rar.html https://fikper.com/sSOalavwVX/tdpbi.Presentation.Expert.Ai..Gpt.Pitch.Decks.Business.Speech.part3.rar.html No Password - Links are Interchangeable

Free Download Present To Win Ai Presentation Automation Creation Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 664.77 MB | Duration: 1h 52m Modern strategies for impactful presentation. Learn to craft impactful presentations using AI tools. What you'll learn Master essential presentation strategies to effectively communicate recommendations, engage audiences, and deliver impactful messages. Automate presentation creation using AI tools like ChatGPT for scripting, saving time while maintaining high-quality content. Clone your voice professionally with Elevenlabs, creating a realistic digital voiceover for presentations. Create a personalized video avatar with Heygen to deliver presentations without needing to appear on camera, increasing productivity and flexibility. Requirements Laptop or PC Description Become a master at delivering effective presentations and automating the process with AI tools. This course takes a two-fold approach: first, you'll learn powerful presentation strategies to captivate, engage, and persuade your audience. Then, you'll discover how to leverage AI tools-ChatGPT, Elevenlabs, and Heygen-to streamline and automate your workflow, saving you valuable time without sacrificing quality.Step 1: Master Presentation Strategies Before diving into the world of automation, it's essential to develop a solid foundation in presentation techniques. Through the first half of the course, you'll explore the core strategies every presenter needs:Recommendation-First Presentation Strategy: Learn to lead with what matters and structure your presentations for maximum clarity.Visual-First Strategy: Discover how to communicate through impactful visuals and designs that resonate with your audience.Interactive Engagement Strategy: Explore methods to involve your audience, making them part of the story.Data Storytelling and Dashboards: Learn to present data as a powerful narrative, using live dashboards to simplify complex insights.Micro-Storytelling: Understand how to convey compelling stories in 30 seconds or less, ideal for fast-paced environments.The Modular Presentation Strategy: Build presentations in blocks, allowing for flexibility and adaptability.One-Page Strategy: Master the art of summarizing key points in a single page for focused, high-impact presentations.Elevator Pitch and 3-Minute Segments: Hone the skill of delivering concise, engaging presentations in under 3 minutes.Step 2: Automate Your Presentation Creation with AI Once you've mastered these core techniques, the second half of the course introduces AI-powered tools to optimize your workflow:Scripting with ChatGPT: Learn to brainstorm and structure your presentation with ease using this powerful AI tool.Voice Cloning with Elevenlabs: Create a professional voice clone, allowing you to automate narration with natural, consistent speech.Video Avatars with Heygen: Discover how to generate a realistic video avatar to present your content without needing to be on camera.Key takeaways from this course:Master proven presentation strategies to create engaging, memorable presentations.Streamline your presentation process with AI tools to automate scripting, voiceovers, and video creation.Save valuable time while still delivering high-quality, professional presentations that captivate your audience.By the end of this course, you will have both the skills to craft powerful presentations and the technical know-how to automate much of the process, ensuring you stay efficient, consistent, and impactful every time you present.This course is perfect for professionals, educators, business leaders, and anyone looking to elevate their presentation skills while embracing the future of AI-driven content creation. Overview Section 1: Recommendation-first presentation strategy Lecture 1 Start with what matters Lecture 2 Art of brevity Section 2: Visual-first strategy Lecture 3 Speak with pictures Lecture 4 Designing for impact Section 3: Interactive engagement strategy Lecture 5 Make them part of the story Lecture 6 Real-time feedback Section 4: Data storytelling and Dashboards Lecture 7 Data isn't boring, It's powerful Lecture 8 Presenting with live dashboards Section 5: Micro-Storytelling Lecture 9 Stories in 30 seconds or less Lecture 10 How to use anecdotes for maximum impact Section 6: The Modular presentation strategy Lecture 11 Build your presentation in blocks Lecture 12 Adapting on the fly Section 7: One-page strategy Lecture 13 Power of a one-page summary Section 8: Elevator pitch and 3-minute segments Lecture 14 Mastering the 3-minute rule Lecture 15 Elevator-pitch presentation Section 9: Core elements of a winning investor pitch presentation Lecture 16 Core elements of a winning pitch Section 10: Problem-solution-outcome framework Lecture 17 Identifying the problem Lecture 18 Delivering the solution Section 11: Leveraging AI tools to create great presentations Lecture 19 Introduction to presentation with AI Lecture 20 Using ChatGPT to brainstorm and structure your presentation Lecture 21 How to use ChatGPT with recommendation-first strategy Lecture 22 Unlock the real magic of ChatGPT and take your content to the next level Lecture 23 Mastering AI-assisted presentations through effective prompting Lecture 24 Mastering multi-step and layered prompting Lecture 25 Constraint-based creativity prompting Lecture 26 Elevating your presentation design with Gamma.app Lecture 27 Visual storytelling with Napkin.ai Lecture 28 AI presentation automation creation with ChatGPT, Elevenlabs and Heygen Lecture 29 How to clone your voice with Elevenlabs Lecture 30 How to Use Heygen for Video Avatars Lecture 31 Congratulation and Next Steps: Taking Your Presentation Skills to the Next Level Business professionals, entrepreneurs, and educators who want to elevate their presentation skills and streamline the creation process using AI tools.,Whether you're a leader delivering high-stakes presentations, a teacher looking to engage students more effectively, or a professional aiming to save time while maintaining quality, this course will provide you with modern strategies and powerful AI tools to automate and enhance your presentations. No prior experience with AI is needed, making this course accessible to anyone ready to transform how they present their ideas. Screenshot Homepage https://www.udemy.com/course/present-to-win-ai-presentation-automation-creation/ Rapidgator https://rg.to/file/056ef917fd97f2c20195eabd8983838d/xnbre.Present.To.Win.Ai.Presentation.Automation.Creation.rar.html Fikper Free Download https://fikper.com/yoh8Y6og2G/xnbre.Present.To.Win.Ai.Presentation.Automation.Creation.rar.html No Password - Links are Interchangeable

Free Download Preparing for Your Professional Cloud Security Engineer Journey Released 10/2024 by Google Cloud MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 2m | Size: 123 MB This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey. Homepage https://www.pluralsight.com/courses/preparing-professional-cloud-security-engineer-journey-6 Screenshot Rapidgator https://rg.to/file/c364dda11f21c55c7ee3b956b5836a9f/jkqll.Preparing.for.Your.Professional.Cloud.Security.Engineer.Journey.rar.html Fikper Free Download https://fikper.com/q5OaezkeI8/jkqll.Preparing.for.Your.Professional.Cloud.Security.Engineer.Journey.rar.html No Password - Links are Interchangeable

Free Download Prepare for the Salesforce Marketing Associate Certification Published 10/2024 Created by Emily Call, MBA,Jeremy Call, MSDA MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 46 Lectures ( 3h 2m ) | Size: 2.7 GB Pass the Marketing Associate Cert Exam with Ease and Confidence What you'll learn Those who want to pass the Marketing Cloud Associate Certification Exam Beginners to Salesforce Marketing Cloud Engagement Beginners to Salesforce Marketing Cloud Beginners to Email Marketing Requirements No experience necessary. Some salesforce knowledge is helpful. Description Thank you for your interest in this course! Salesforce's marketing cloud is one of the best tools out there to market your products to your customers! They have the strategies and the tools to make this easy for you to showcase your company's product and mission. The Salesforce Marketing Associate Certification covers the background knowledge of crucial marketing concepts, email marketing strategies, refining those strategies when roadblocks are hit, and the basics of the tools Salesforce provides to have a successful email marketing campaign. Our course covers these topics and more to give you the necessary knowledge and context to help you pass this salesforce certification exam!Easily get certified through this streamlined course with the following resources: Complete video lectures covering all exam topics.Demoed solutions and practice questions after every section.Comprehensive glossary of all terms you need to know with links to learn more.Glossary terms expounded upon in detail for each section with examples.A full practice exam formatted like the actual exam with explanations and documentation links.Notes on the 40+ trailhead modules that make up this Trailmix.All you need is a willingness to learn and an open mind to learning these crucial concepts! We are excited to see you pass the Salesforce Marketing Associate Certification Exam! Who this course is for Learners who want to pass the Marketing Cloud Associate Certification Exam Homepage https://www.udemy.com/course/prepare-for-the-salesforce-marketing-associate-certification/ Screenshot Rapidgator https://rg.to/file/4aba5899e19b5f3387401c8cec5e366c/turoj.Prepare.for.the.Salesforce.Marketing.Associate.Certification.part1.rar.html https://rg.to/file/956eecfc98cb591d6515e1274592084e/turoj.Prepare.for.the.Salesforce.Marketing.Associate.Certification.part3.rar.html https://rg.to/file/c7df1ea2b5488ae9224216f85014c5a5/turoj.Prepare.for.the.Salesforce.Marketing.Associate.Certification.part2.rar.html Fikper Free Download https://fikper.com/38RmSICTH0/turoj.Prepare.for.the.Salesforce.Marketing.Associate.Certification.part3.rar.html https://fikper.com/3hg2SDAcVh/turoj.Prepare.for.the.Salesforce.Marketing.Associate.Certification.part2.rar.html https://fikper.com/WT8Oykfskt/turoj.Prepare.for.the.Salesforce.Marketing.Associate.Certification.part1.rar.html No Password - Links are Interchangeable

Free Download Pregnancy Yoga Nourish Your Body, Mind, And Baby Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 396.55 MB | Duration: 0h 30m "Yoga: Your Baby's First Lullaby" "Grow Strong, Grow Together" "Embracing Motherhood, One Breath at a Time" What you'll learn Improve Physical Health and Comfort: learn safe and effective yoga poses to alleviate common pregnancy discomforts like back pain, fatigue, and swelling Enhance Mental and Emotional Well-being: develop relaxation and stress-management techniques through deep breathing, meditation, and guided imagery Prepare for Birth: breathing techniques and relaxation exercises that can be used during labor and delivery, promoting a more comfortable and empowering birth Strengthen the Bond with Baby: learn gentle prenatal massage techniques to connect with their baby and promote fetal development. Requirements While no formal qualifications are typically required to enroll in a pregnancy yoga course, it's generally recommended that parti[beeep]nts: Be pregnant: The course is specifically designed to cater to the needs of pregnant women. Have a general level of fitness: While the course will be adapted to suit various fitness levels, having a basic understanding of yoga or a general fitness routine can be beneficial. Consult with a healthcare provider: It's essential to consult with your doctor or midwife before starting any new exercise program, especially during pregnancy. Additional considerations: Pregnancy complications: If you have any pregnancy complications or concerns, please consult with your healthcare provider before parti[beeep]ting. Medical conditions: If you have any underlying medical conditions, inform your yoga instructor and follow their guidance. By meeting these prerequisites and consulting with your healthcare provider, you can ensure that you are well-prepared to benefit from the prenatal yoga course. Description Discover the transformative power of yoga for expecting mothers. Our Pregnancy Yoga course is designed to provide you with a safe and nurturing space to nourish your body, mind, and spirit throughout your pregnancy.Through gentle yoga poses, breathing techniques, and meditation, you'll learn to:Strengthen your body and prepare for childbirth.Reduce stress and anxiety while promoting relaxation.Connect with your baby on a deeper level.Improve sleep and overall well-being.Our experienced instructors will guide you through a carefully curated sequence of poses that are safe and beneficial for pregnant women. You'll also learn about the benefits of prenatal yoga and how to incorporate it into your daily routine.In addition to the physical benefits, our Pregnancy Yoga course also offers a supportive community for expecting mothers. You'll have the opportunity to connect with other women who are going through similar experiences and share your thoughts and feelings.Our classes are designed to be inclusive and welcoming to women of all fitness levels and backgrounds. Whether you're a seasoned yogi or new to the practice, you'll find our classes to be a supportive and enjoyable experience.Discover the transformative power of pregnancy yoga. Join us for a journey of self-discovery and preparation for motherhood. Overview Section 1: Pregnancy yoga is a specialized form of yoga designed to support pregnant women. Lecture 1 Introduction - 1 Lecture 2 Introduction - 2 Lecture 3 Introduction - 3 Lecture 4 First trimester yoga poses Lecture 5 Head-to-knee forward bend (Janu sirsasana) Lecture 6 Yoga 1 Lecture 7 Wide-angle seated forward bend (Upavistha konasana) Lecture 8 Yoga 2 Lecture 9 Cat-cow pose (Marjaryasana to Bitilasana) Lecture 10 Yoga 3 Lecture 11 Second trimester yoga poses Lecture 12 Bound angle pose (Baddha Konasana) Lecture 13 Yoga 4 Lecture 14 Child's pose (Balasana) Lecture 15 Yoga 5 Lecture 16 Triangle pose (Trikonasana) Lecture 17 Yoga 6 Lecture 18 Standing forward bend (Uttanasana) Lecture 19 Yoga 7 Lecture 20 Third trimester yoga poses Lecture 21 Warrior II (Virabhadrasana II) Lecture 22 Yoga 8 Lecture 23 Garland pose (Malasana) Lecture 24 Yoga 9 Lecture 25 Easy pose (Sukhasana) Lecture 26 Yoga 10 Lecture 27 Side corpse pose (Parsva Savasana) Lecture 28 Yoga 11 Lecture 29 Benefits of yoga in pregnancy Lecture 30 Yoga 12 Lecture 31 Must Follow in yoga during pregnancy Lecture 32 The bottom line - Pregnancy Yoga Section 2: Detailed Information on Garbhsanskar Vedio Course (www.garbhsanskar.online)) Lecture 33 Introduction to Garbhsanskar Lecture 34 Introduction 2 Lecture 35 Introduction 3 Lecture 36 Introduction 4 Lecture 37 Introduction 5 Lecture 38 Introduction 6 Lecture 39 Introduction 7 Lecture 40 Introduction 8 Lecture 41 Introduction 9 Lecture 42 Introduction 10 Lecture 43 Introduction 11 Lecture 44 Introduction 12 Lecture 45 Introduction 13 Lecture 46 Introduction 14 Lecture 47 Introduction 15 Lecture 48 Conclusion Pregnancy Yoga course is designed for pregnant women at all stages of pregnancy. Whether you're in your first trimester, second trimester, or third trimester, the course can offer valuable benefits. Here are some specific groups who can benefit from this course: First-time mothers: Prenatal yoga can provide essential knowledge and skills for a healthy and comfortable pregnancy. Experienced mothers: Previous pregnancy experiences can be helpful, but prenatal yoga can offer new insights and techniques. Women with pregnancy-related discomforts: Yoga can help alleviate common pregnancy symptoms like back pain, fatigue, and swelling. Women seeking relaxation and stress reduction: Prenatal yoga can be a valuable tool for managing stress and promoting mental well-being. Women interested in natural childbirth: Yoga can help prepare for labor and delivery through breathing techniques, relaxation exercises, and body awareness. In essence, any pregnant woman who wants to improve her physical and mental health, prepare for childbirth, and connect with her baby can benefit from a prenatal yoga course. Screenshot Homepage https://www.udemy.com/course/pregnancy-yoga-nourish-your-body-mind-and-baby/ Rapidgator https://rg.to/file/e86e334f25e47605c52efa16a821bfd1/tvugo.Pregnancy.Yoga.Nourish.Your.Body.Mind.And.Baby.rar.html Fikper Free Download https://fikper.com/rFe5ARh7yq/tvugo.Pregnancy.Yoga.Nourish.Your.Body.Mind.And.Baby.rar.html No Password - Links are Interchangeable

Free Download Predictive Customer Analytics (2024) Published 10/2024 Created by Start-Tech Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 29 Lectures ( 3h 23m ) | Size: 1.68 GB Build predictive machine learning and forecasting models in Excel to build customer decision and customer behavior What you'll learn Discover how to preprocess customer data for predictive modeling using Excel. Master the application of linear regression in Excel to predict customer behavior. Explore the use of logistic regression for customer churn prediction and retention strategies. Analyze customer data using clustering techniques to segment customer groups. Build sales forecasting models using Excel's Solver and time series analysis. Implement XLSTAT for advanced statistical analysis in customer predictions. Develop and run logistic regression models using Excel Macros for automation. Predict future customer behavior with additive and multiplicative time series models. Interpret the results of regression and clustering models to make actionable business decisions. Evaluate the effectiveness of your predictive models in improving customer retention and business strategies. Requirements A PC/ laptop with good internet connection and MS Excel installed on it Description Are you an aspiring data analyst or business professional looking to make data-driven decisions that impact customer behavior and retention? Do you want to leverage Excel to build predictive models without the complexity of advanced coding? If yes, this course is for you.In today's competitive market, understanding customer behavior is key to business success. Predictive Customer Analytics helps you stay ahead by forecasting customer decisions, improving retention, and driving targeted marketing strategies. This course will empower you to use Excel as a powerful tool for building predictive machine learning models and forecasting techniques, even if you're not an expert in data science.In this course, you will:Develop a solid understanding of linear and logistic regression techniques in Excel to predict customer behavior.Master clustering techniques for customer segmentation, identifying key groups within your customer base.Build sales forecasting models using Excel's Solver and time series methods.Implement real-world solutions with case studies, such as predicting customer churn and segmenting customers for better marketing strategies.Why is Predictive Customer Analytics so important? By using Excel, a tool most professionals are already familiar with, you can unlock deeper insights into customer data, enabling better decision-making without needing advanced technical skills. From forecasting sales trends to retaining key customers, predictive analytics is a game-changer for businesses looking to grow and scale.Throughout the course, you will complete hands-on exercises in Excel, including:Preprocessing customer data for linear and logistic regressionBuilding predictive models using XLSTAT and Excel MacrosClustering customer data for segmentation analysisImplementing time series forecasting to predict salesWhat sets this course apart is its focus on practical, easy-to-implement techniques that don't require programming knowledge. You'll learn how to utilize Excel's advanced features to get accurate, actionable results quickly.Ready to transform your customer insights? Enroll today and start building your own predictive models in Excel! Who this course is for Marketing professionals who want to use data to predict customer behavior and enhance targeted campaigns. Sales managers looking to forecast sales trends and improve customer retention strategies. Data analysts who want to build predictive models in Excel without needing complex coding skills. Small business owners aiming to make data-driven decisions to optimize customer acquisition and retention. Homepage https://www.udemy.com/course/predictive-customer-analytics/ Screenshot Rapidgator https://rg.to/file/22f5ee0eb74995ff51792cdfb7a2082e/hmaze.Predictive.Customer.Analytics.2024.part1.rar.html https://rg.to/file/34e18dce1ed2acff4d9463783b285b44/hmaze.Predictive.Customer.Analytics.2024.part2.rar.html Fikper Free Download https://fikper.com/7QwAECQ5io/hmaze.Predictive.Customer.Analytics.2024.part2.rar.html https://fikper.com/Q16PHN9U1L/hmaze.Predictive.Customer.Analytics.2024.part1.rar.html No Password - Links are Interchangeable