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Free Download Python Bootcamp and Introduction to Artificial Intelligence Last updated 8/2024 Duration: 5h47m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 6.78 GB Genre: eLearning | Language: English Master Python Programming and Dive into the World of AI: A Beginner-Friendly Journey from Coding Basics to AI Concepts What you'll learn Gain a strong understanding of Python, including data types, operators, control structures, functions, and classes, enabling you to write efficient and organize Apply Python concepts to solve real-world problems, automate tasks, and create projects, enhancing your logical and algorithmic thinking. Learn foundational concepts of Artificial Intelligence and Machine Learning, including key topics like supervised and unsupervised learning. Use Python libraries like TensorFlow, Keras, and scikit-learn to build, train, and evaluate basic AI models, gaining hands-on experience in AI and ML. Requirements No Prior Programming Experience Needed: This course is designed for absolute beginners, so no previous programming experience is required. We'll start from the basics and guide you through each step. Basic Computer Skills: Familiarity with using a computer, including navigating files and installing software, will be helpful but not mandatory. A Willingness to Learn: Bring your enthusiasm and curiosity! A proactive attitude towards learning will help you get the most out of the course. Access to a Computer and Internet Connection: You'll need a computer (Windows, macOS, or Linux) with internet access to download and install Python, follow along with the lessons, and practice coding. Description Welcome to the Python Bootcamp and Introduction to Artificial Intelligence , your comprehensive guide to mastering Python programming and exploring the exciting world of Artificial Intelligence. 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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 Microstrategy Workstation Business Intelligence Masterclass Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.65 GB | Duration: 6h 6m Empower your Business Intelligence skills by mastering dashboard design with MicroStrategy Workstation! What you'll learn Understand MicroStrategy Architecture and Components Master MicroStrategy Workstation Build professional and appealing dashboards with MicroStrategy Workstation Data visualisation & data story telling best practices Data Preparation in MicroStrategy Workstation Learn to create custom metrics Requirements None, MicroStrategy Workstation can be downloaded for free Description In this course, you will gain comprehensive knowledge of MicroStrategy Workstation, covering everything from fundamental data modeling to advanced visualization techniques. This course is designed to empower you to transform complex data sets into clear, actionable insights, enhancing your ability to make informed decisions.Perfect for professionals aiming to master dashboard design, this hands-on course features practical exercises that facilitate a deep understanding of the platform. You'll receive expert guidance throughout the course, ensuring you can effectively apply what you learn to real-world scenarios and elevate your Business Intelligence capabilities.Step by step, I will walk you through various data visualizations, teaching you how to develop and build interactive dashboards that tell compelling stories with your data. By the end of this course, you'll have the skills to create visually stunning and impactful dashboards that engage stakeholders and drive strategic decision-making.Additionally, you will gain hands-on experience that will deepen your understanding of MicroStrategy, as we explore best practices for data preparation, visualization, and dashboard interactivity. Whether you're a beginner or looking to refine your skills, this masterclass will equip you with the tools you need to excel in your BI career. Join me, and let's unlock the full potential of your data together! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 How to Successfully Master this Course Lecture 3 What to Expect From this Course Lecture 4 Course Structure Lecture 5 Download: Course Slides as PDF Section 2: Getting Started with MicroStrategy Lecture 6 What is MicroStrategy? Lecture 7 MicroStrategy Architecture Lecture 8 Key Characteristics of the Semantic Layer Lecture 9 Understanding Projects and Environments Lecture 10 Types of Objects in MicroStrategy Lecture 11 What is MicroStrategy Workstation? Lecture 12 Explanation of MicroStrategy Workstation Download Lecture 13 Download MicroStrategy Workstation for free! Lecture 14 Introducing the MicroStrategy Workstation User Interface Lecture 15 Introducing the MicroStrategy Workstation Dashboard Interface Section 3: Introducing the Dataset Used in this Course Lecture 16 Download the source data Lecture 17 Dataset Overview - Description Lecture 18 Dataset Overview - Pizzas Lecture 19 Dataset Overview - Pizza Types Lecture 20 Dataset Overview - Orders Lecture 21 Dataset Overview - Order Details Lecture 22 Dataset Overview - The Data Model Lecture 23 Download the Dashboard Lecture 24 Introducing the Course Dashboard Lecture 25 Dashboard Chapter and Filters Section 4: Connecting to Datasources, Data Preparation & Data Modeling in Workstation Lecture 26 Adding the Pizzas Table Lecture 27 Adding the Pizza Types Table Lecture 28 Adding the Orders Table Lecture 29 Adding the Order Details Table Lecture 30 Building the Data Model Section 5: Basic Data Visualisations and Dashboards in MicroStrategy Workstation Lecture 31 Data Visualisation in a Dashboard Lecture 32 Discussion: KPI Visualisation Lecture 33 Adding KPI Visualisations to the Dashboard in Workstation - Part 1 Lecture 34 Adding KPI Visualisations to the Dashboard in Workstation Lecture 35 Formatting KPI Visualisations Lecture 36 Discussion: Tables / Grid Visualisations Lecture 37 Adding and Formatting Tables / Grid Visualisations Lecture 38 Discussion: Bar Charts Lecture 39 Adding Bar Charts to the Dashboard in Workstation Lecture 40 Formatting Bar Charts Lecture 41 Discussion: Line Charts Lecture 42 Adding Line Charts to the Dashboard in Workstation Lecture 43 Formatting Line Charts Lecture 44 Introduction to Metric Development & Metric Aggregation in MicroStrategy Lecture 45 Adding a Horizontal Stacked Bar Chart to the Dashboard in Workstation Lecture 46 Discussion: Pie Charts Lecture 47 Adding & Formatting Pie Charts in Workstation - Part 1 Lecture 48 Adding & Formatting Pie Charts in Workstation - Part 2 Lecture 49 Dive Deep: Bar Charts Section 6: Advanced Visualisations and Interactive Dashboard Pages in Workstation Lecture 50 Special Visualisation: Modern Grid in MicroStrategy Workstation Lecture 51 Discussion: Heat Maps Lecture 52 Building an Interactive Dashboard Page Lecture 53 Defining Interactions between Visualisations & Developing Level Metrics Lecture 54 Defining Chapter Filters Lecture 55 Wrap-up: Filters in MicroStrategy Lecture 56 Concluding Thoughts on Data Visualisation Section 7: Extra Activity: Ingredients Analysis & Data Modeling Lecture 57 Ingredients Analysis Chapter Section 8: Conclusion and course wrap-up Lecture 58 Congratulations & Thank You! 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Free Download Mastering Emotional Intelligence For Effective Management Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.01 GB | Duration: 1h 59m Lead with Emotional Intelligence: Achieve Success Through Empathy and Self-Awareness What you'll learn Understanding Emotional Intelligence: Discover the key elements of EI and its impact on leadership and teamwork, fostering a healthier workplace. Self-Awareness & Self-Regulation: Enhance your ability to recognise your emotions and manage them effectively, improving decision-making and interactions. Building Relationships: Develop strategies to foster trust and respect within teams, enhancing collaboration and communication among members Practical Applications: Engage in hands-on exercises that apply emotional intelligence concepts to real-world scenarios, making learning actionable and relevant Leadership Development: Learn to apply EI principles to enhance your leadership style, motivating and inspiring teams toward shared goals Developing Empathy: Gain insights into what empathy is and how to cultivate it in the workplace, leading to stronger connections and a more cohesive team Cultural Sensitivity: Explore how cultural differences affect emotional expression and interpersonal interactions, equipping you for work environments Requirements At least a upper-intermediate level of English (B2) A growth mindset Description Module Two of the Mastering Effective Communication in Diverse Workplaces CourseIn today's workplace, emotional intelligence (EI) has emerged as a critical skill for effective leadership. This course is designed for aspiring leaders, mid-level managers, and professionals working in international teams. Parti[beeep]nts will explore Daniel Goleman's Emotional Intelligence model, which highlights five key components: self-awareness, self-regulation, social awareness, empathy, and relationship management.What You'll Learn:• Understanding Emotional Intelligence: Discover the principles of Goleman's EQ model and how emotional intelligence is vital for successful leadership.• Developing Self-Awareness: Learn techniques for enhancing self-awareness, enabling you to understand your emotions and their impact on your decision-making and interactions.• Emotional Control: Gain insights into regulating your emotions to respond appropriately to various situations and maintain a positive workplace environment.• Recognizing Emotions in Others: Develop skills to identify and interpret the emotions of your team members, allowing for more effective communication and collaboration.• Cultivating Empathy: Understand how to empathise with team members, recognize their emotional needs, and respond appropriately to foster trust and collaboration.• Using Emotions for Motivation: Explore how to harness your emotions and those of your team to inspire and motivate, driving performance and engagement.• Enhancing Social Skills: Learn practical strategies to build stronger relationships and improve your interpersonal skills, facilitating better teamwork and collaboration.• Wellbeing and Resilience: Discover the connection between emotional intelligence and overall wellbeing, equipping yourself to create a supportive and resilient workplace culture.• Impact of Culture on Emotions: Examine how cultural differences shape emotional expression and regulation, allowing you to navigate diverse work environments more effectively.By the end of this course, you will have the tools to lead with emotional intelligence, enabling you to inspire your team, drive success, and create a culture of openness and resilience in your organisation. Join me to unlock the power of empathy and self-awareness in your leadership journey! Overview Section 1: Introduction Lecture 1 Introduction Section 2: Developing Self-Awareness Lecture 2 Knowing your emotions and their impact on others Section 3: Developing Other-Awareness Lecture 3 Knowing other people's emotions and how impact you Section 4: Developing Empathy Lecture 4 Responding to the emotions of others Lecture 5 Emotional Recognition in Action Section 5: The Power of Emotions for Motivation Lecture 6 Harnessing the power of + and - emotions Section 6: Developing Social Skills Lecture 7 Mastering Effective Interactions Section 7: Developing Well-Being Lecture 8 Well-Being for greater Emotional Intelligence Section 8: The Effect of Cultural Differences Lecture 9 How culture shapes expression Section 9: Putting it all together! Lecture 10 Case-Studies Section 10: End of Course Quiz Leaders and aspiring leaders seeking to enhance their leadership skills through emotional intelligence for better team dynamics and conflict resolution.,Mid-level managers looking to improve team engagement and communication by developing emotional intelligence to motivate and support their teams.,Project managers wanting to navigate high-pressure situations effectively by building emotional intelligence to improve team collaboration and morale.,Non-Native Managers who need to enhance their emotional intelligence and leadership skills to improve communication and collaboration in diverse teams.,HR professionals aiming to foster a positive workplace culture and enhance recruitment and employee relations through emotional intelligence strategies. 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Free Download MasterClass - The Art of Intelligence With Former CIA Officers Released 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 2 Lessons ( 1h 13m ) | Size: 2 GB Learn declassified techniques on how to assess risk, strengthen relationships, and get ahead in life and business. Skills so good, they've been kept secret, until now. WARNING. What you're about to read is not for civilians' eyes. Until now. MasterClass has attained access to three of the CIA's top former officers, who have been given authorization to share their real-life experiences and the valuable lessons they learned about leadership, critical thinking, and risk management. There's a reason the CIA keeps its techniques a secret. You're about to find out why. Homepage https://www.masterclass.com/classes/the-art-of-intelligence Screenshot Rapidgator https://rg.to/file/88f5edac9dd4a43d554ca92ed6a87972/nviwm.MasterClass..The.Art.of.Intelligence.With.Former.CIA.Officers.part2.rar.html https://rg.to/file/a173d53f27774ff8b49e49e54c67d242/nviwm.MasterClass..The.Art.of.Intelligence.With.Former.CIA.Officers.part3.rar.html https://rg.to/file/faf5f02483a0e0bb8ba78e8892f34131/nviwm.MasterClass..The.Art.of.Intelligence.With.Former.CIA.Officers.part1.rar.html Fikper Free Download https://fikper.com/DztQPGJIfs/nviwm.MasterClass..The.Art.of.Intelligence.With.Former.CIA.Officers.part3.rar.html https://fikper.com/ILaqTDnB4X/nviwm.MasterClass..The.Art.of.Intelligence.With.Former.CIA.Officers.part1.rar.html https://fikper.com/LAjCUOyC9K/nviwm.MasterClass..The.Art.of.Intelligence.With.Former.CIA.Officers.part2.rar.html No Password - Links are Interchangeable

Free Download Master Azure Artificial Intelligence (AI, ML, GenAI) Published 10/2024 Created by Freddy Ayala MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 39 Lectures ( 5h 20m ) | Size: 2.2 GB Become a Master of Azure AI Services (Speech, Visio, OpenAI, AI Studio, Promptflow) and Get Certified (AI-102) What you'll learn Navigate Azure's AI services to create smart app features. Apply AI with hands-on Azure-based projects. Implement generative AI for dynamic content. Deploy robust and scalable AI apps on Azure. Integrate their applications into an enterprise lanscape taking into account gouvernance and security Requirements Basic Programming Knowledge: Familiarity with a programming language, preferably C# or Python, used within Azure's context. Azure Fundamentals: An understanding of core Azure services and navigating the Azure portal. Development Environment: Access to a computer with internet connectivity, capable of running Azure's cloud services. Azure Subscription: While a free tier may be sufficient for starters, a paid subscription could be required for more advanced features. Description Embark on a journey to become a Microsoft AI Certified professional with our comprehensive course. Designed for aspiring Azure AI Engineers, this program equips you for the AI-102 certification while empowering you to build impactful AI solutions. 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Here is a list of some of his contributions:Basic OpenAI end-to-end chat reference architectureBaseline OpenAI end-to-end chat reference architectureAzure OpenAI chat baseline architecture in an Azure landing zoneAI Studio End-to-End Baseline Reference ImplementationAnd many othersCertification Path:AI-102 Exam Preparation: Gain the knowledge needed to pass the Azure AI Engineer Associate exam.Skills You'll Develop:Planning and managing Azure AI solutions.Deploying services for complex decision-making.Building image recognition capabilities.Creating NLP-based chatbots and services.Engineering document intelligence solutions.Innovating with Python for generative AI.Course Outcome:Complete the course ready to pass the Microsoft Azure AI Engineer Associate exam, armed with the expertise to lead AI initiatives. Become proficient in driving AI projects and leveraging Azure and Python technologies.Enrollment:Enroll now to advance your career. 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Free Download Intro To Ai A Beginner'S Guide To Artificial Intelligence Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.33 GB | Duration: 2h 27m Understand How AI Works and How to Leverage This Technology to Transform Your Business and Career What you'll learn Understand key Artificial Intelligence concepts and build a solid foundation Skyrocket productivity using AI Understand Generative AI and the underlying technology Grasp the importance of AI ethics Acquire an understanding of key AI tools Become acquainted with the top job prospects in the AI field Requirements No prior experience is required. We will start from the very basics Description Are you interested in exploring the exciting world of AI and mastering the fundamentals to unlock its full potential?If that's the case, you've come to the right place!This Intro to AI course begins with the fundamentals-exploring the core components behind today's cutting-edge AI algorithms. Through this comprehensive journey, you'll establish a strong foundation and gain deep insights into AI's workings and applications in product development. You'll learn about various AI models and understand how businesses can leverage them effectively.Moreover, the course offers practical knowledge of AI development and integration into web applications and business products. Discover job opportunities in the rapidly growing AI field and comprehensively understand the essential tools needed for a lucrative career in this high-demand sector. This ideal AI introductory course suits those passionate about the field and eager to explore its potential. It offers valuable insights for business stakeholders and a strong foundation for anyone aiming to start a career in AI.Few industries will escape disruption from artificial intelligence and its significant technological innovations. Embrace AI to gain a competitive edge and lead your industry with its transformative power.Our Intro to AI course provides foundational AI knowledge and practical insights to seamlessly integrate AI into your workflow. Join the select group that grasps AI's career and business opportunities and leverages its transformative power.What sets this AI course apart from other online offerings?1. Production QualityOur dedicated team has invested thousands of hours in crafting an exceptional learning experience. We focus full-time on simplifying complex topics and designing an engaging Intro to AI course you'll enjoy.2. Instructor ExcellenceNed Krastev (CEO of 365 Data Science) has educated over 3 million students worldwide. His courses rank among the most popular online, and he has delivered training for Fortune 100 companies.3. Engaging AnimationsOur courses utilize storytelling and high-quality animations to help internalize AI concepts-far surpassing simple PowerPoint presentations. We are so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days! It's a complete no-brainer, sign up today with ZERO risk and EVERYTHING to gain.What are you waiting for? Click the 'Buy Now' button and embrace the AI-driven future of tomorrow. Overview Section 1: Getting started Lecture 1 Natural vs Artificial Intelligence Lecture 2 Brief history of AI Lecture 3 Demystifying AI, Data science, Machine learning, and Deep learning Lecture 4 Weak vs Strong AI Section 2: Data is essential for building AI Lecture 5 Structured vs unstructured data Lecture 6 How we collect data Lecture 7 Labelled and unlabelled data Lecture 8 Metadata: Data that describes data Section 3: Key AI technique Lecture 9 Machine learning Lecture 10 Supervised, Unsupervised, and Reinforcement learning Lecture 11 Deep learning Section 4: Important AI branches Lecture 12 Robotics Lecture 13 Computer vision Lecture 14 Traditional ML Lecture 15 Generative AI Section 5: Understanding Generative AI Lecture 16 The rise of Gen AI: Introducing ChatGPT Lecture 17 Early approaches to Natural Language Processing (NLP) Lecture 18 Recent NLP advancements Lecture 19 From Language Models to Large Language Models (LLMs) Lecture 20 The efficiency of LLM training. Supervised vs Semi-supervised learning Lecture 21 From N-Grams to RNNs to Transformers: The Evolution of NLP Lecture 22 Phases in building LLMs Lecture 23 Prompt engineering vs Fine-tuning vs RAG: Techniques for AI optimization Lecture 24 The importance of foundation models Lecture 25 Buy vs Make: foundation models vs private models Section 6: Practical challenges in Generative AI Lecture 26 Inconsistency and hallucination Lecture 27 Budgeting and API costs Lecture 28 Latency Lecture 29 Running out of data Section 7: The AI tech stack Lecture 30 Python programming Lecture 31 Working with APIs Lecture 32 Vector databases Lecture 33 The importance of open source Lecture 34 Hugging Face Lecture 35 Hugging Face Lecture 36 AI evaluation tools Section 8: AI job positions Lecture 37 AI strategist Lecture 38 AI developer Lecture 39 AI engineer Section 9: Looking ahead Lecture 40 AI ethics Lecture 41 Future of AI This course is for you if you want a great career,The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills Screenshot Homepage https://www.udemy.com/course/intro-to-ai-a-beginners-guide-to-artificial-intelligence/ Rapidgator https://rg.to/file/806da44376a0befeb8352fc38d7ca2b8/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part3.rar.html https://rg.to/file/e715b1d0c73eb21b1a64f7e55117559b/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part2.rar.html https://rg.to/file/e9835bca108247a07768901cb9601aeb/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part1.rar.html Fikper Free Download https://fikper.com/RCpZuJ36M1/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part3.rar.html https://fikper.com/aRz91AC8ee/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part2.rar.html https://fikper.com/qq4HT4kH6X/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part1.rar.html No Password - Links are Interchangeable

Free Download Ethical Considerations in Artificial Intelligence Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 53m | Size: 1.67 GB Navigating Ethical Boundaries in AI What you'll learn Identify and articulate the key ethical considerations associated with the development and use of Artificial Intelligence in various organizational contexts. Assess the effects of AI on society, including issues related to bias, privacy, and accountability, and recognize their implications for organizations. Explain the critical role internal auditors play in evaluating and promoting ethical practices surrounding AI technologies within their organizations. Perform risk assessments focused on AI-related ethical challenges, identifying potential areas of concern and suggesting mitigation strategies. Advocate for best practices that foster transparency and fairness in AI systems, enhancing trust among stakeholders. Lead discussions on ethical AI usage within organizations, encouraging a culture of integrity and responsibility in AI deployment. Requirements Parti[beeep]nts are encouraged to have the following foundational knowledge and skills before enrolling in the Ethics in Artificial Intelligence for Auditors course Familiarity with auditing concepts, methodologies, and practices is essential for engaging with the course material. A general understanding of AI technologies, including machine learning and data analytics, will enhance parti[beeep]nts' comprehension of ethical implications. Prior experience in risk assessment or compliance roles will be beneficial for contextualizing the discussions on ethical boundaries. Familiarity with relevant regulations and guidelines concerning data privacy and ethical use of technology, such as GDPR or CCPA, is advantageous. A willingness to engage in discussions about ethics and responsibility in technology use will contribute to a productive learning environment. While these prerequisites are recommended, a strong motivation to learn about the ethical dimensions of AI will also support parti[beeep]nts' success in the course. Description As Artificial Intelligence (AI) transforms industries and enhances productivity, it also raises critical ethical considerations that users, organizations, and society must address. This course explores the ethical implications of AI, examining its societal effects and the challenges it presents, such as bias, privacy concerns, and accountability.Parti[beeep]nts will delve into case studies and real-world scenarios to understand how AI can impact decision-making processes and influence organizational culture. The course emphasizes the vital role of internal auditors in establishing ethical boundaries that guide the development and deployment of AI technologies.Key topics include frameworks for ethical AI use, the auditor's role in assessing AI risks, and best practices for promoting transparency and fairness in AI systems. By the end of the course, parti[beeep]nts will be equipped with the knowledge and tools necessary to help their clients navigate the ethical landscape of AI, ensuring responsible implementation that aligns with organizational values and societal expectations. This course is essential for auditors seeking to enhance their expertise in AI ethics and contribute to fostering a culture of integrity within their organizations.Parti[beeep]nts are encouraged to have the following foundational knowledge and skills before enrolling in the Ethics in Artificial Intelligence for Auditors course:Basic Understanding of Auditing Principles: Familiarity with auditing concepts, methodologies, and practices is essential for engaging with the course material.Introductory Knowledge of Artificial Intelligence: A general understanding of AI technologies, including machine learning and data analytics, will enhance parti[beeep]nts' comprehension of ethical implications.Experience in Risk Management or Compliance: Prior experience in risk assessment or compliance roles will be beneficial for contextualizing the discussions on ethical boundaries.Awareness of Regulatory Standards: Familiarity with relevant regulations and guidelines concerning data privacy and ethical use of technology, such as GDPR or CCPA, is advantageous.Interest in Ethical Considerations: A willingness to engage in discussions about ethics and responsibility in technology use will contribute to a productive learning environment.While these prerequisites are recommended, a strong motivation to learn about the ethical dimensions of AI will also support parti[beeep]nts' success in the course. Who this course is for This course is ideal for anyone aiming to enhance their understanding of the ethical dimensions of AI and their role in promoting responsible practices within organizations. Homepage https://www.udemy.com/course/ethical-considerations-in-artificial-intelligence/ Rapidgator https://rg.to/file/316a2006a69c5241cbd1dfe6bbdc7266/oirkz.Ethical.Considerations.in.Artificial.Intelligence.part2.rar.html https://rg.to/file/6327d5ae55065fc3efab509f28a94feb/oirkz.Ethical.Considerations.in.Artificial.Intelligence.part1.rar.html Fikper Free Download https://fikper.com/7VYUS5hctd/oirkz.Ethical.Considerations.in.Artificial.Intelligence.part1.rar.html https://fikper.com/PGePspCrlp/oirkz.Ethical.Considerations.in.Artificial.Intelligence.part2.rar.html No Password - Links are Interchangeable

Free Download EQ101 An Introduction to Emotional Intelligence Published 10/2024 Created by Chantel Samanek MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 8 Lectures ( 1h 1m ) | Size: 992 MB A journey to help you recognize that emotions are a valuable resource to achieve what is important to you. What you'll learn Describe the concept of Emotional Intelligence Identify the benefits of increased Emotional Intelligence Greater understanding of emotions in order to manage emotions How to put EQ in Action on a daily basis Requirements An open mind - your brain may resists/ reject new information because he is too lazy to change. Courage - to ask yourself difficult questions and practise new behaviours Trust - trust the process of growth. Description Emotions are realThey are with you 24/7They impact your thoughtsThey impact your actionsThey could be your worst enemy or your greatest ally -THAT is your choice!On this EQ Journey you will gain a greater understanding of the concept of Emotional Intelligence - EQ as it is often referred to. You will discover Why it matters - and how you can benefit, both from a professional and personal perspective as it is a resource that you have, that you can use in an intentional manner to achieve what is really important to you .. and have fun doing it.You will discover the purpose of your emotions and the importance of understanding the effect they have on your body.And then the most exciting part of this journey is investigating how you can put EQ into Action. We will be sharing a 3 Step process in how you can move from reacting to responding and in turn have the impact you want to have.The journey includes a Workbook that will guide you, challenge you with reflective questions and inspire you to try new behaviours, all in the spirit of crafting an improved version of you.Come join us on this journey! Who this course is for The converted (and yet to be converted) believers that Emotional Intelligence drives people. Homepage https://www.udemy.com/course/eq101-an-introduction-to-emotional-intelligence/ Screenshot Rapidgator https://rg.to/file/8e6089db638670774701a508dc29cea9/bpjqr.EQ101.An.Introduction.to.Emotional.Intelligence.rar.html Fikper Free Download https://fikper.com/b4UWgbU8gU/bpjqr.EQ101.An.Introduction.to.Emotional.Intelligence.rar.html No Password - Links are Interchangeable

Free Download Artificial Intelligence In Looker Studio Gemini Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 533.52 MB | Duration: 1h 27m Master Gemini in Looker Studio: AI-Powered Data Analytics Simplified What you'll learnHow to export Looker Studio charts in Google Slides with AI-generated insights. Use conversational analytics to ask questions in natural language and get instant answers. Leverage the formula assistant to create new fields by simply describing what you need. Navigate Gemini's AI-powered features in Looker Studio to streamline data analysis. Apply AI tools to make data insights more accessible, even for non-technical users. Master Looker Studio basics with a quick 20-minute crash course. RequirementsThe only requirements are to have a computer and access to the internet. It is helpful to know how to use Looker Studio. However, if you have never used it or need a refresher, I added a 20-minute crash course about Looker Studio basics. DescriptionUnlock the potential of Gemini, Google's latest AI model, integrated seamlessly into Looker Studio (formerly Data Studio). Whether you're already familiar with Looker Studio or just getting started with AI-driven tools, this course will take your data skills to the next level.In less than 1.5 hours, you will learn how to leverage Gemini's features to make data analysis more intuitive, efficient, and accessible to everyone.What You'll Learn:AI-Generated Presentations: Generate Looker Studio charts and seamlessly export them to Google Slides, complete with insightful comments about the data.Conversational Analytics: Ask Gemini about your data and receive clear insights in natural language.Formula Assistant: Struggling with formulas? Simply describe what you need in plain English, and let Gemini write the formula for you.What's Included:A 20-minute crash course on Looker Studio basics, perfect for those with no prior experience or those who need a quick refresher.A deep dive into Gemini's newest features in Looker Studio, with examples and step-by-step guidance.Lifetime access to the course, ensuring you can revisit the content anytime you need.Why Take This Course?If you're a data analyst, marketer, or business owner looking to enhance data-driven decision-making, this course is for you. One of Gemini's greatest strengths is its ability to lower the technical barriers to information.Don't miss this opportunity to stay ahead of the curve with AI-powered analytics. Sign up today and start mastering Gemini in Looker Studio! OverviewSection 1: Introduccion Lecture 1 Introduction to the course Lecture 2 Gemini in Looker Studio, what it is and its functionalities Section 2: Looker Studio intro Lecture 3 Looker Studio intro Lecture 4 Looker Studio vs Looker Studio Pro Section 3: Export Looker Studio charts to Google Slides with AI-generated insights Lecture 5 Looker Studio & Google Slides example 1 Lecture 6 Looker Studio & Google Slides example 2 Lecture 7 Google Slides add-on for Looker Studio Lecture 8 Looker Studio & Google Slides recap Section 4: Conversational Analytics: ask questions in natural language Lecture 9 Conversational Analytics example Lecture 10 Conversational Analytics recap Section 5: Formulas assistant: create new fields by simply describing what you need Lecture 11 Formulas assistant example Lecture 12 When the formulas assistant is not available Lecture 13 Formulas assistant recap Section 6: Requirements and how to enable Gemini Lecture 14 Requirements to sign up to Looker Studio Pro Lecture 15 How to enable Gemini Section 7: Conclusion Lecture 16 Conclusion Those looking to enhance data-driven decision-making using AI. Homepage https://www.udemy.com/course/artificial-intelligence-in-looker-studio-gemini/ Rapidgator https://rg.to/file/eeebae72321044244ca33b6c89b35730/codjb.Artificial.Intelligence.In.Looker.Studio.Gemini.rar.html Fikper Free Download https://fikper.com/H8vUXRCWIQ/codjb.Artificial.Intelligence.In.Looker.Studio.Gemini.rar.html No Password - Links are Interchangeable

Free Download Artificial Intelligence For Project Managers (2024) Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 11.39 GB | Duration: 14h 31m Transform into an AI-empowered Project Manager and elevate your projects What you'll learn Understand core AI concepts and their project applications, including machine learning, NLP, and automation. Apply AI tools like ChatGPT to automate tasks and enhance project management efficiency. Develop data-driven decision-making skills using AI insights to improve project outcomes. Ensure ethical AI integration in projects by addressing transparency, bias, and responsible usage. Strategically integrate AI into project workflows to boost productivity and collaboration. Write effective AI prompts that generate accurate, relevant outputs for project tasks. Understand how AI is shaping the future of project management and learn to adapt your role. Requirements No Prior AI Knowledge Required: This course is designed to introduce AI from the ground up, so no prior knowledge of AI or related technologies is necessary. Basic Project Management Experience: Learners should have some experience in leading projects or working in a project management role. A foundational understanding of project management principles will help you fully grasp the integration of AI into workflows. Description Master AI-Powered Project Management - Elevate Your Career with Artificial IntelligenceArtificial Intelligence for Project Managers is your gateway to thriving in the AI-driven future of project management. As AI revolutionizes industries, this course equips you with the critical skills needed to harness its power and remain indispensable in the ever-evolving landscape of project leadership.Created by project management expert Cornelius Fichtner, PMP, this course delivers 14.5 hours of practical, hands-on learning. From understanding foundational AI concepts to writing effective prompts and integrating AI into traditional project management frameworks, you'll gain the knowledge and tools to excel. With over 60,000 students successfully trained in project management, Cornelius has designed this course to not only introduce you to AI but also to transform the way you lead projects, making you a leader in the AI-powered future.What You'll Get with Artificial Intelligence for Project Managers:14.50 PDUs of Formal AI Education: Earn your certificate and PDUs while learning the essential AI skills that will elevate your project management career.Comprehensive AI Coverage: Master AI concepts, from machine learning and natural language processing to generative AI, and discover their applications in real-world project management scenarios.Practical Application: Explore real-world case studies and examples, so you can immediately apply AI to automate tasks, enhance decision-making, and improve project efficiency.Expert-Led Video Lessons: Enjoy engaging, easy-to-follow lessons that break down AI technologies and their strategic applications in project management, ensuring you stay ahead in your career.AI-Powered Project Leadership: Learn how AI will shape the future of project management and develop strategies for integrating AI into your projects to enhance your leadership and decision-making capabilities.With this course, you won't just learn how to use AI tools like ChatGPT on your project. Instead, this course teaches you to become AI literate-you'll understand how to integrate AI into your project management processes, transforming your leadership style and ensuring you stay ahead of the curve in an AI-driven world.Take the next step in your career and future-proof your project management skills. Enroll today and become an AI-powered (and empowered) project manager. Overview Section 1: Welcome Lecture 1 Introduction Section 2: The AI PM Revolution Lecture 2 Building The Future-Proof Project Manager Lecture 3 AI Literacy for Project Managers Section 3: AI Fundamentals Lecture 4 AI Basics Lecture 5 Machine Learning Lecture 6 Natural Language Processing Lecture 7 Large Language Models Section 4: AI Ethics, Integrity & Transparency Lecture 8 Leading Ethical AI Projects Lecture 9 Responsible AI Section 5: Data Lecture 10 Data Quality: Foundation for AI-Ready Projects Lecture 11 Taming AI (Data) Bias Lecture 12 Data Literacy Basics for Project Managers Section 6: Generative AI Lecture 13 Generative AI Lecture 14 Writing Effective AI Prompts Lecture 15 Prompting Like a Boss Section 7: The Future: AI-Driven PM Lecture 16 Becoming an AI-Powered Project Manager Lecture 17 Developing the AI-Powered Project Team (Part 1) Lecture 18 Developing the AI-Powered Project Team (Part 2) Section 8: AI in Action: Expert Insights - AI Interviews from The PM Podcast Lecture 19 Podcast Interview: Beyond Theory - Real-Life AI Solutions in PM Lecture 20 Podcast Interview: Unveiling the Power of Artificial Intelligence in PM Lecture 21 Podcast Interview: Harnessing Artificial Intelligence in Digital Agency PM Lecture 22 Podcast Interview: Data Literacy for Project Managers in the Age of AI Lecture 23 Podcast Interview: AI for PMs: Hype or Help? Survey Says... Lecture 24 Podcast Interview: AI in Project Management: Promise vs. Practice Project managers who want to enhance their skills by integrating artificial intelligence into their workflows. Whether you're a seasoned project manager looking to stay relevant in an AI-driven world or someone just starting to explore AI's potential in project management, this course will provide practical insights and hands-on tools to make AI work for you. 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Free Download All basics of Artificial Intelligence for any API developers Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 958.06 MB | Duration: 1h 54m Intro course about the value of Artificial Intelligence, how it works and benefits of including AI in your API projects What you'll learn Learn the basics of AI and the tech behind its amazing capabilities. Define machine learning, how it relates to AI, and distinguish between structured and unstructured data. Understand the Need for Neural Networks. Discover the capabilities of generative AI and the technology that powers it. Learn how AI enables computers to interpret and generate natural human language. Learn the importance of data and ethics to prep for the AI innovations shaping our future. Remove bias from data and algorithms to create ethical AI systems. Identify the technologies related with AI. Discover the capabilities of generative AI and the technology that powers it. Discover how generative AI can boost productivity throughout your organization. Requirements Basic Computer Knowledge and internet access You have an attitude to learn while having fun :) Want to learn Artificial Intelligence from scratch Description This course was created with one goal only: to support you with the very first steps about Artificial Intelligence providing a person, API developer or not, with the basic ideas about what is AI, how it works and what are the benefits of using it within our company and internal software projects.In resume, this course will level up your AI game and help you out getting the fundamental concepts about Artificial Intelligence!So, don't worry if you have no prior knowledge!Start Learning Now. Hit the Enroll Button!The main principle behind this course is to introduce all contents in a very detailed but easy way, so it can results in a few benefits for all students enrolled:Reduces your learning curve at maximum by going straight to the point;Clear Introduction to the most popular concepts about Artificial Intelligence (AI);Gives you the knowledge and foundations to become an API developer that can take advantage of Artificial Intelligence (AI);In resume, it gives you all the tools to get a high-paying job. But how we will accomplish that?Shortly, through short and clear videos, we will cover in detail all the most important topics which are required for being familiar in Artificial Intelligence (AI) and using its potential to boost your software development lifecycle project.Thus, at the end of the course you will:test your knowledge with dozens of quizzesa practical exam.So, what are you waiting for?Be an API developer with Artificial Intelligence (AI) knowledge. Hit the Enroll Button! Overview Section 1: First Principles of Artificial Intelligence Lecture 1 Introduction Lecture 2 AI Capabilities Lecture 3 Defining AI Section 2: Introduction to Machine Learning Lecture 4 Feeding Machine Learning models with data Lecture 5 Data Types Section 3: Basics of Neural Networks Lecture 6 Understand the Need for Neural Networks Lecture 7 Adding Complexity to Neural Networks Section 4: First Principles of Generative AI Lecture 8 Capabilities of Generative AI - Part 1 Lecture 9 Capabilities of Generative AI - Part 2 Lecture 10 How to charge Generative AI Training Lecture 11 Emerging Ecosystem Lecture 12 Common Concerns About Generative AI Section 5: First Principles of Natural Language Processing Lecture 13 Introduction Lecture 14 Defining natural language Lecture 15 Natural Language Understanding vs Natural Language Generation Lecture 16 Basic Elements of Natural Language Lecture 17 Parsing Natural Language - Part 1 Lecture 18 Parsing Natural Language - Part 2 Section 6: Data Fundamentals for AI Lecture 19 The Importance of data today Lecture 20 What is data-driven decision-making? Lecture 21 The Significance of data in AI Lecture 22 Data Classification and Types - Part 1 Lecture 23 Data Classification and Types - Part 2 Lecture 24 Data Classification and Types - Part 3 Lecture 25 The Importance of Data in AI Lecture 26 Data Lifecycle for AI Lecture 27 Ethics, Data, and AI - Part 1 Lecture 28 Ethics, Data, and AI - Part 2 Lecture 29 Ethics, Data, and AI - Part 3 Lecture 30 Legal and Regulatory Frameworks for Data and AI Section 7: Create ethical AI systems Lecture 31 Bias vs Fairness Lecture 32 Recognize Bias in Artificial Intelligence Lecture 33 Types of Bias - Introduction Lecture 34 Types of Bias - Measurement Bias Lecture 35 Types of Bias - Type 1 vs. Type 2 Error Lecture 36 Types of Bias - Association Bias Lecture 37 Types of Bias - Confirmation Bias Lecture 38 Types of Bias - Automation Bias Lecture 39 Types of Bias - Interaction Bias Lecture 40 How Does Bias Enter the AI System? Lecture 41 Remove Bias from Data and Algorithms - Introduction Lecture 42 Remove Bias from Data and Algorithms - Part 1 Lecture 43 Remove Bias from Data and Algorithms - Part 2 Lecture 44 Remove Bias from Data and Algorithms - Part 3 Section 8: Artificial Intelligence Technologies Lecture 45 Introduction Lecture 46 Types of Machine learning Lecture 47 The Role of Machine Learning Lecture 48 Limitations of Machine Learning Section 9: Exploring Generative AI Lecture 49 Introduction Lecture 50 What is Predictive AI Lecture 51 What is Generative AI - Part 1 Lecture 52 What is Generative AI - Part 2 Lecture 53 Predictive AI vs Generative AI Lecture 54 Potential risks to Generative AI Lecture 55 Creating Responsible Generative AI Lecture 56 Guidelines Govern AI Action Lecture 57 Image Generative AI Models Lecture 58 Uses of Generative AI for Imagery - Part 1 Lecture 59 Uses of Generative AI for Imagery - Part 2 Lecture 60 Uses of Generative AI for Imagery - Part 3 Lecture 61 Uses of Generative AI for Imagery - Part 4 Lecture 62 Uses of Generative AI for Imagery - Part 5 Lecture 63 Ethics of Generated Artwork Section 10: Generative AI for Organizations Lecture 64 The Potential of Generative AI for Companies Lecture 65 Boost Companies with Generative AI - Part 1 Lecture 66 Boost Companies with Generative AI - Part 2 Lecture 67 Boost Companies with Generative AI - Part 3 Lecture 68 Boost Companies with Generative AI - Part 4 Lecture 69 Boost Companies with Generative AI - Part 5 Lecture 70 Boost Companies with Generative AI - Part 6 Section 11: Change Management for AI Execution Lecture 71 What Is Change Management Lecture 72 The Keys to Change Management Lecture 73 Human-centered approach to AI adoption - Part 1 Lecture 74 Human-centered approach to AI adoption - Part 2 Lecture 75 Embrace the change Lecture 76 Build Trust Lecture 77 Increase Collaboration Section 12: Wrap up Students curious to learn about a top trending technology for the future.,Software professionals who are looking for a career change option into Artificial Intelligence.,Non-software professionals who are looking for to start a new career in the IT sector.,All professionals who are looking for to work with one of to most in-demanding technology and get a better salary. 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Free Download Coursera - Generative AI for Business Intelligence (BI) Analysts Specialization Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 39 Lessons ( 4h 1m ) | Size: 710 MB Unlock the Potential of Generative AI in BI. Learn how you can use the capabilities and tools of generative AI to boost your career in business intelligence What you'll learn Explain generative AI's fundamental capabilities and applications in the BI domain. Develop effective prompts using prompt engineering approaches and techniques. Apply generative AI tools and techniques to optimize every stage of the BI lifecycle. Explain ethical considerations, challenges, and best practices in implementing generative AI for BI. Skills you'll gain Generative AI Business Intelligence Data Analysis Data Visualization Artificial Intelligence Are you a business intelligence (BI) Analyst or aspiring to start your career in this domain? This specialization can help to advance your career by leveraging the power of generative AI. The specialization consists of three short, self-paced courses, each requiring 4-6 hours to complete. Explore the core concepts and capabilities of generative AI and learn to leverage these capabilities throughout the BI lifecycle. Learn the techniques of prompt engineering to optimize the outcomes produced by generative AI tools. Gain practical skills in using generative AI for different use cases in BI, including querying databases and documents, automating data visualization, and creating dashboards and reports. Learn how generative AI supports data analysis, synthetic data creation, and data cleansing. Explore several generative AI tools that can be used in the BI domain. Learn how common generative AI tools like ChatGPT and Microsoft Copilot can be used in BI. Through the hands-on labs and projects, you will gain valuable experience in harnessing generative AI in BI. You will hear from experts about their insights on the different concepts covered in the courses. Applied Learning Project Throughout this specialization, you will complete hands-on labs and projects to gain practical experience in leveraging generative AI for different use cases in the BI domains. You will learn how to draft effective prompts for generating relevant outputs regarding the common and specific scenarios in BI. Some examples of the labs includedare Generate Text Using Generative AI Generating Text, Images, and Code Experimenting with Prompts Naive Prompting and the Persona Pattern The Chain-of-Thought Approach in Prompt Engineering The Tree-of-Thought Approach in Prompt Engineering Data generation and cleansing Querying databases and documents Generating SQL queries with AI Data analysis using generative AI tools Data visualization with AI tools Project Homepage https://www.coursera.org/specializations/generative-ai-for-business-intelligence-analysts TakeFile https://takefile.link/n22teh9tk45n/xpdfv.Coursera..Generative.AI.for.Business.Intelligence.BI.Analysts.Specialization.rar.html Rapidgator https://rg.to/file/9ea32e9576686a9d01d189deb7818b18/xpdfv.Coursera..Generative.AI.for.Business.Intelligence.BI.Analysts.Specialization.rar.html Fikper Free Download https://fikper.com/iHijQugRu2/xpdfv.Coursera..Generative.AI.for.Business.Intelligence.BI.Analysts.Specialization.rar No Password - Links are Interchangeable

Free Download Artificial Intelligence Risk Management For Medical Device Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 495.56 MB | Duration: 1h 4m Application of AAMI/BSI TR 34971 and ISO 14971 What you'll learn Understand AI-Specific Risk Management in Medical Devices Understand Regulatory Requirements for AI-Based Medical Devices Implement a Comprehensive Risk Management Process Identify and Mitigate AI-Specific Risks Ensure Post-Market Surveillance and Continuous Improvement Requirements Basic Understanding of Medical Devices and AI Learners should have a foundational understanding of medical devices and how artificial intelligence (AI) is used in healthcare applications. Familiarity with basic AI concepts, such as machine learning models and their applications, is helpful but not mandatory. Familiarity with Risk Management Principles Some experience with risk management or quality assurance processes (in any industry) would be beneficial. This includes concepts like risk assessment, mitigation strategies, and compliance. Eagerness to Learn No prior experience with ISO 14971 or AAMI/BSI TR 34971 is required. Beginners are welcome, and the course will cover all key concepts, standards, and practices needed to understand and manage risk in AI-based medical devices. Description This course provides in-depth training on the application of AAMI/BSI TR 34971 and ISO 14971 standards for managing risks in AI-based medical devices. Learners will explore how these globally recognized frameworks ensure safety, compliance, and quality throughout the product lifecycle. By focusing on AI-specific challenges-such as algorithm bias, model drift, and data integrity-parti[beeep]nts will gain valuable insights into mitigating risks associated with AI technologies in healthcare.The course covers essential topics including hazard identification, risk analysis, risk control, and the evaluation of residual risks. Additionally, learners will understand how to integrate risk management practices into both the development and post-market surveillance phases of medical device deployment.Practical examples and case studies are used to illustrate how AI-driven medical devices can meet regulatory requirements while maintaining high levels of performance and safety. The course includes several templates that learners can apply to streamline the risk management process. By the end of the course, learners will have the knowledge to effectively implement risk management processes that align with ISO 14971 and AAMI/BSI TR 34971, ensuring that their AI-based devices are compliant with international standards and regulations. This course is ideal for professionals involved in product development, quality assurance, and regulatory affairs in the medical device industry, as well as AI system developers. Overview Section 1: Introduction Lecture 1 Introduction Section 2: What is ISO14971 Lecture 2 What is ISO14971? Section 3: Key Definitions and Concepts in ISO 14971 Lecture 3 Key Definitions and Concepts in ISO 14971 Section 4: Competence of personnel Lecture 4 Competence of personnel Section 5: Regulatory requirements Lecture 5 Regulatory requirements Section 6: Risk Management Process Lecture 6 Risk Management Process Lecture 7 Risk Management Plan Lecture 8 Risk Analysis Lecture 9 Risk Evaluation Lecture 10 Risk control Lecture 11 Evaluation of overall residual risk Section 7: Risk management review Lecture 12 Risk management review Section 8: Production and post-production activities Lecture 13 Production and post-production activities Regulatory Affairs Professionals: Individuals working in medical device regulatory compliance who need to understand the application of ISO 14971 and AAMI/BSI TR 34971 to manage AI-specific risks and ensure regulatory alignment.,Quality Assurance and Risk Management Specialists: Professionals tasked with ensuring the safety, quality, and performance of medical devices will benefit from learning how to implement a comprehensive risk management process for AI-based devices.,Medical Device Developers and Engineers: Engineers and developers involved in creating or updating AI-powered medical devices will gain critical insights into how to identify and mitigate AI-specific risks, such as algorithm bias and model drift.,Healthcare and AI Enthusiasts: Individuals with an interest in artificial intelligence and healthcare innovation who want to learn about the intersection of AI technology and medical device regulations, safety standards, and risk management. Homepage https://www.udemy.com/course/artificial-intelligence-risk-management-for-medical-device/ Rapidgator https://rg.to/file/1e5e581245b9261b99a1c30731f8848e/rgwlc.Artificial.Intelligence.Risk.Management.For.Medical.Device.rar.html Fikper Free Download https://fikper.com/lLfRcy8e2m/rgwlc.Artificial.Intelligence.Risk.Management.For.Medical.Device.rar No Password - Links are Interchangeable

Free Download Microsoft Powerbi For Business Analytics And Intelligence Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 559.70 MB | Duration: 0h 47m Become proficient in Power BI Desktop for data analysis through practical assignments and projects. What you'll learn Construct high-quality business intelligence reports starting from the basics. Utilize tools employed by professional analysts and data scientists for design and implementation. Discover the capabilities of powerful artificial intelligence tools and advanced visualization techniques. Transform and integrate raw data into visually appealing interactive dashboards. Demonstrate your proficiency through two comprehensive course projects, complete with step-by-step solutions. Requirements Microsoft Power BI Desktop (free download) This course is designed for PC/Windows users (currently not available for Mac) Experience with Excel is an added advantage, but not a requirement Description Course Description: Microsoft Power BI - PizzaShop AnalysisUnlock the full potential of Power BI and master the top business intelligence tool with this course. Whether you're an experienced data professional or a newcomer to analytics, this course will equip you with the skills to turn raw data into meaningful insights.THE COURSE PROJECT:Step into the role of a Business Intelligence Analyst for PizzaShop, a fictional pizzeria business. Your task will be to transform data into professional-quality reports and dashboards, tracking key performance indicators (KPIs), analyzing trends, and identifying top customers. You'll follow real-world processes that professionals use daily in business intelligence roles.The course follows four key stages of the business intelligence workflow:STAGE 1: Connecting & Shaping DataLearn how to connect to various data sources and shape data using Power Query. You'll master the tools to clean, transform, and prepare data for analysis. Topics include:Data connectors and storage modesTable transformations and data profiling toolsPivoting, unpivoting, and appending queriesSTAGE 2: Building a Relational Data ModelDive into data modeling best practices, focusing on creating relationships between tables to organize your data efficiently. You'll cover:Database normalizationFact & dimension tablesStar schemas and relationship cardinalitySTAGE 3: DAX & Calculated FieldsDevelop your skills in Data Analysis Expressions (DAX) to create calculated fields, measures, and complex expressions for data analysis. Key concepts include:Row and filter contextTime intelligence patternsConditional and logical functionsSTAGE 4: Data Visualization & ReportingBring your data to life with powerful data visualizations. Learn to design interactive dashboards and reports that drive decision-making, using:Best practices for data visualizationInteractive reports with slicers, drill-downs, and bookmarksCustom visualizations and Power BI service integrationWith real-world assignments, you'll not only learn the theory but gain hands-on experience in creating stunning Power BI reports tailored for business impact.Ready to transform your data skills? Join the course and start building dynamic Power BI reports today! Overview Section 1: Introduction and your First intelligence project Lecture 1 Introduction to this PowerBI course Lecture 2 Instruction to Install PowerBI on Windows Lecture 3 Practice files and Instructions Lecture 4 Connecting our Data to PowerBI Desktop Lecture 5 Transforming and Preparing the Data in PowerBI Lecture 6 Analyze and Visualize data Section 2: All about PowerBI and Business Intelligence Tools Lecture 7 What is PowerBI Lecture 8 Why should we use Microsoft PowerBI Lecture 9 Excel vs PowerBI Section 3: Conclusion Lecture 10 Conclusion Individuals seeking a practical, project-driven introduction to Microsoft Power BI Desktop,Data analysts and Excel users aiming to enhance their skills in advanced data modeling, dashboard design, and business intelligence,Aspiring data professionals eager to excel in using the leading business intelligence tool in the market.,Students in search of a comprehensive, engaging, and highly interactive training approach,Those aspiring to build a career in data analysis or business intelligence Homepage https://www.udemy.com/course/microsoft-powerbi-for-business-analytics-and-intelligence/ Rapidgator https://rg.to/file/45d40d910b1449379a31dc0e73bcdf36/svzyg.Microsoft.Powerbi.For.Business.Analytics.And.Intelligence.rar.html Fikper Free Download https://fikper.com/LbbjM7pveu/svzyg.Microsoft.Powerbi.For.Business.Analytics.And.Intelligence.rar.html No Password - Links are Interchangeable

Free Download Intelligence Analysis - Concealed Income Analysis Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 34m | Size: 273 MB Concealed Income Analysis What you'll learn To provide basic theoretical skills and practical knowledge required to undertake a Conceal Income Analysis. State the purpose of Concealed income analysis. Describe what Assets and Liabilities are. Describe what Expenses and Income are. Explain the term Net Worth. Calculate Net Worth and Changes in Net Worth. Calculate an Individual's Total Outlay. Describe how to calculate an Individuals Concealed Income. Calculate an individuals Conceal Income. Requirements Students should have basic spreadsheet skills Description The aim of this curse is to provide the student with the basic theoretical skills and practical knowledge required to undertake Conceal Income Analysis. A tool used by intelligence and "crime analysts when looking for discrepancies between legal income and expenditures as a potential indicator of illegal income produced from organised crime activity" (Manning, 2011; U.S. Department of Treasury). The method analyses a person's net financial worth over time and examines all sources of known income, bank accounts, and other assets (UNODC).The most famous example of the value of this technique is the prosecution of the infamous prohibition gangster Al Capone. It's generally agreed that Al Capone's net worth was about $100 million, or equivalent to about $1.5 billion today. Traditional methods having failed his downfall came when the US Treasury Department tried a different tack and looked at his finances.Fortunately, Capone had a weakness; like many of us he was fond of the finer things in life and liked to flaunt his wealth foolishly he made little effort to conceal it. The Treasury Department examined his bank accounts and invoices in Miami and Chicago covering a period of several years and found, among other expenditure, that he spent $7000 on clothing, $1500 per week on hotel bills, $40,000 for his home on Palm Island, $39,000 on telephone calls, and $20,000 on household silver. They were able to identify approximately $165,000 of taxable income during the period examined, the source of which he could not document (Albanese, 2014). On the 18th October 1931, Capone was convicted of tax evasion and failure to file a tax return and was subsequently sentenced to 11 years imprisonment, a record for such offences.Whilst this example is perhaps an extreme example of the techniques its value in an investigation is as great today as it was then. Who this course is for This course is suitable for individuals with a law enforcement or investigative background usually working in an intelligence or financial investigation role. Investigators who wish to make an initial assessment of the financial benefits enjoyed by an individual, group, or organisation involved in criminal activity. Homepage https://www.udemy.com/course/intelligence-analysis-concealed-income-analysis/ Rapidgator https://rg.to/file/85d5ec1e391b1d48f85fcff4284bd2c7/jxnux.Intelligence.Analysis..Concealed.Income.Analysis.rar.html Fikper Free Download https://fikper.com/pjZ8SUKAuI/jxnux.Intelligence.Analysis..Concealed.Income.Analysis.rar.html No Password - Links are Interchangeable

Free Download Udemy - Equinox Emotional Intelligence Program Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.62 GB | Duration: 2h 15m Harness the power of Emotional Intelligence with EQUINOX. What you'll learn Increase your awareness of what EQ is Assess your level of EQ Identify the EQ traits that you are good at, and the ones that need work Identify the EQ traits that you are good at, and the ones that need work Develop a personal EQ enhancement plan Requirements A good command of the English language and a willingness to self-reflect and practise new habits and skills Description EQUINOX™ leads you on a transformative journey to harness the power of Emotional Intelligence (EQ). EQUINOX™ offers practical tools and strategies to cultivate self-awareness, enhance interpersonal relationships, and navigate life's challenges with grace and resilience. With EQUINOX you will discover how to unlock your full potential, build meaningful connections, and thrive in both personal and professional realms. The course includes:Understanding Emotional IntelligenceDeveloping Self awarenessManaging Emotions EffectivelyCognitive ReframingEmpathyBuilding Strong RelationshipsAdaptive CommunicationConflict Resolution and CollaborationEQ in Leadership and Team DynamicsStress Management and ResilienceEQ Strategies for Daily LifeIn addition you will get : Journaling promptsEQ Self - AssessmentCommunication Style assessmentPersonal EQ Enhancement PlannerBreathing ExerciseMindful Body Scan ExerciseThe instructor, Coach Jaki, helps people design the lives they really want through Coaching, Workshops, and self-taught Courses. Her clients move forward with clarity, purpose, and passion, as she always aims to be encouraging and supportive while remaining personal, present, and thought-provoking. Her coaching style helps clients build self-awareness articulate a personal vision and design steps to achieve it, which naturally builds their self-confidence.Coach Jaki has several years of experience leading, coaching, and mentoring individuals, offering a unique combination of business acumen, emotional intelligence, cultural awareness, and intentional living. This accrued over a quarter century working as an Executive in the Corporate sector, and more than 10 years as a Life and Leadership Coach.Coach Jaki is an ICF Credentialed Coach, and holds a Doctorate in Education, as well as a Master's in Business Administration. Overview Section 1: Introduction Lecture 1 Introduction to EQUINOX Emotional Development program Section 2: Understanding Emotional Intelligence Lecture 2 Understanding Emotional Intelligence Section 3: EQ Self-assessment Lecture 3 EQUINOX Emotional Intelligence self-assesment Section 4: Developing Self-awareness Lecture 4 Developing Self-awareness Section 5: Managing Emotions effectively Lecture 5 Managing emotions effetively Section 6: Cognitive Reframing Lecture 6 Learn the ABCDE technique for Cognitive reframing Section 7: Empathy Lecture 7 Empathy Section 8: Building strong relationships Lecture 8 Building strong relationships Section 9: Adaptive communication Lecture 9 How to adapt your communication style to suit the situation Section 10: EQ in Leadership and team dynamics Lecture 10 EQ in Leadership and Team dynamics Section 11: Conflict resolution and collaboration Lecture 11 Conflict resolution Section 12: Stress Management and Resilience Lecture 12 Stress Management and Resilience Section 13: Personal Reflection on Leadership traits Lecture 13 Personal reflection on leadership traits Section 14: Journaling Prompts Lecture 14 Journaling Prompts Section 15: Breathing exercise Lecture 15 Breathing exercise video Section 16: EQ Strategies for daily life Lecture 16 EQ Strategies for daily life Section 17: Mindful Body scan Lecture 17 Mindful body scan Section 18: Personal EQ enhancement plan Lecture 18 Personal EQ enhancement plan Executives who want to improve interpersonal relations, conflict resolution, stress management and communication at work, and in their personal lives. Homepage https://www.udemy.com/course/equinox-emotional-intelligence-program/ Rapidgator https://rg.to/file/15e3a17a5a9cd92707c115ac4f5b889c/krbtz.Equinox.Emotional.Intelligence.Program.part1.rar.html https://rg.to/file/25390da7d446b3084834c5ae79430556/krbtz.Equinox.Emotional.Intelligence.Program.part2.rar.html https://rg.to/file/617c00556f6361ef6dee0fe1f7aecccd/krbtz.Equinox.Emotional.Intelligence.Program.part3.rar.html Fikper Free Download https://fikper.com/MaHcSdPce4/krbtz.Equinox.Emotional.Intelligence.Program.part1.rar.html https://fikper.com/lbUZLJ8OhZ/krbtz.Equinox.Emotional.Intelligence.Program.part2.rar.html https://fikper.com/1O6U2ir3VO/krbtz.Equinox.Emotional.Intelligence.Program.part3.rar.html No Password - Links are Interchangeable