Courses2024

Free Download Introduction to Machine Learning by Kevin Brand Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 42m | Size: 3.54 GB A beginners guide to commonly used machine learning models and terminology What you'll learn Define the fundamental aspects of data pipelines that is necessary for machine learning Identify the potential pitfalls when building data pipelines Recognize the different types of machine learning models and explain their differences Discuss popular supervised machine learning models Understand popular unsupervised clustering algorithms Broadly define what neural networks are Know what some of the most popular neural network variants are and when to use them Utilize machine learning fundamentals to implement basic solutions to classification and regression problems Requirements Some programming experience will be beneficial for exercises and examples, but is not required. Description This course aims to provide students with a broad overview of the field of machine learning and will introduce some important terms and techniques which will enable them to follow a discussion on the topic. I will discuss the fundamental aspects of data pipelines and will point out what some of the common pitfalls are when preparing data for a machine learning project. I will also discuss what the different types of machine learning models are and how they differ from deep learning models.Broad overviews will be provided of some of the most popular supervised and unsupervised models and students will be introduced to some of the popular neural network variants. This will be followed by a few practical demonstrations which will show students how they can combine the discussed topics to create basic machine learning solutions.This course will not provide in-depth explanations regarding the mathematical underpinnings of these models, nor will it provide detailed discussions regarding how to implement machine learning models from scratch. Instead, the aim is to simplify and condense the subject matter to provide students with an easily digestible introduction to the field.Whether students are employers or employees, we believe it to be highly beneficial to have a basic understanding of what machine learning models are and what they are not --- especially as machine learning tools become increasingly common in many domains. Who this course is for Software engineers that want to be able to follow discussions about the machine learning pipeline Managers that are looking to incorporate machine learning into their business and want to better understand the intricacies of doing so Prospective students that want to establish whether machine learning is the right field for them This course is not intended for learners with prior machine learning knowledge This course is not intended for learners that wants to understand the mathematical foundations of machine learning Homepage https://www.udemy.com/course/introduction-to-machine-learning-f/ Screenshot Rapidgator https://rg.to/file/2c28cb792a2961877a95f1e30e23878e/ungdj.Introduction.to.Machine.Learning.by.Kevin.Brand.part2.rar.html https://rg.to/file/364e5fa824cda9de5e29b0fabcc9aa53/ungdj.Introduction.to.Machine.Learning.by.Kevin.Brand.part1.rar.html https://rg.to/file/97dfde1343a1651e4d9c618d9d56c279/ungdj.Introduction.to.Machine.Learning.by.Kevin.Brand.part4.rar.html https://rg.to/file/b551d3577b57591bd4c686da61a2ed3d/ungdj.Introduction.to.Machine.Learning.by.Kevin.Brand.part3.rar.html Fikper Free Download https://fikper.com/2FegpOKPV0/ungdj.Introduction.to.Machine.Learning.by.Kevin.Brand.part1.rar.html https://fikper.com/EH0lLiaTOU/ungdj.Introduction.to.Machine.Learning.by.Kevin.Brand.part2.rar.html https://fikper.com/myO1itAzcj/ungdj.Introduction.to.Machine.Learning.by.Kevin.Brand.part4.rar.html https://fikper.com/vH4e8VUQSa/ungdj.Introduction.to.Machine.Learning.by.Kevin.Brand.part3.rar.html No Password - Links are Interchangeable

Free Download Introduction to Excel Power Query Published 10/2024 Created by Excel Yourself MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 26 Lectures ( 1h 38m ) | Size: 764 MB Excel Power Query What you'll learn This comprehensive course provides a deep dive into Excel Power Query, an invaluable tool for data transformation and analysis. It covers an extensive range of topics, starting from the introduction of Power Query, data transformation fundamentals, advanced techniques. By the end of the course, learners will gain a robust understanding of Power Query, along with the ability to apply these skills in real-world projects. The course also emphasizes practical applications, using real-world scenarios and case studies to demonstrate how to tackle common data challenges. Requirements No programming exoerience needed. You will learn everything you need to know about Excel-Power-Query. Description Welcome to our comprehensive Excel Power Query course! In this course, you'll learn how to leverage Power Query to transform and analyze data efficiently within Excel. Power Query is an advanced data preparation and transformation tool integrated directly into Microsoft Excel, enabling users to connect to various data sources, clean, combine, and shape data with ease.Throughout this course, you'll discover how to connect to databases, text files, web data, and even cloud-based sources. You'll also learn how to handle messy data, eliminate duplicates, and apply sophisticated transformations to create ready-to-use datasets. We will guide you through using Power Query to generate insightful reports and dynamic dashboards that are easy to refresh with updated data.Whether you're new to Excel or already proficient, this comprehensive course will enhance your data management capabilities by teaching you how to automate workflows and streamline data processing. By the end, you'll confidently use Power Query to tackle real-world data challenges, ensuring you're equipped to boost your productivity and elevate your analysis skills.Power Query is more than just a tool; it's a vital skill for anyone looking to improve data handling within Excel, making it perfect for business analysts, data enthusiasts, and professionals alike. Who this course is for This course is ideal for data analysts, business professionals, and anyone who works with large datasets and wants to improve their data transformation and analysis skills. It's also suited for individuals who are familiar with Excel and looking to enhance their ability to work with data more efficiently, leveraging the advanced techniques of Power Query to solve real-world problems and drive business success. Homepage https://www.udemy.com/course/introduction-to-excel-power-query/ Screenshot Rapidgator https://rg.to/file/e87205c483259c0ed02663a84f37861e/olmty.Introduction.to.Excel.Power.Query.rar.html Fikper Free Download https://fikper.com/zhQKbTYZHr/olmty.Introduction.to.Excel.Power.Query.rar.html No Password - Links are Interchangeable

Free Download Introduction to English Consonants Published 10/2024 Created by Livek Educational MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 40 Lectures ( 2h 15m ) | Size: 746 MB Master some of the most challenging consonants in English What you'll learn Improve your English skills. Speak with more clarity. Avoid common pronunciation mistakes. Boost your confidence. Become a more effective communicator. Requirements Basic proficiency in English. Willingness to work hard and practice. Optional: A microphone for recording yourself. Description Welcome to this introductory course on English consonants.Why consonants? Why are they important?Because they are the backbone of English pronunciation.If your goal is to speak clearly and confidently, mastering the English consonants is one of the cornerstones of achieving mastery in speech.This becomes especially important when considering the fact that English has a number of sounds that are not present in other languages.For this reason, many non-native English speakers will either heavily distort those sounds or replace them with something more familiar from their first language. This distortion/replacement is what people usually refer to as having "an accent".Not only does this stand out as lacking proficiency in English, but it can sometimes lead to confusion or misunderstandings.This course aims to solve this problem and help you improve your English speaking skills.We will cover some of the most important consonants in English, with plenty of examples and training material. We will practice each consonant in the course at the beginning, middle, and end of words, as well as in sentences. By gradually increasing the complexity of our training, we hope to offer you a wonderful learning experience and an opportunity for improvement.Are you ready to take your English to the next level?Let's embark on this journey and start learning together. Who this course is for People looking to improve their English speaking skills. Homepage https://www.udemy.com/course/introduction-to-english-consonants/ Screenshot Rapidgator https://rg.to/file/249c89e4471909f9ac1553d78dc06adb/bsocq.Introduction.to.English.Consonants.rar.html Fikper Free Download https://fikper.com/Lzj0JSAJg6/bsocq.Introduction.to.English.Consonants.rar.html No Password - Links are Interchangeable

Free Download Introduction to Biostatistics (2024) Published 10/2024 Created by Gabriel cardenas MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 92 Lectures ( 6h 30m ) | Size: 5.45 GB Introduction to basic Statistics with Probability and T-test and Basic Categorical Analysis with Chi-Squared What you'll learn Descriptive Statistics Hypothesis Testing Basic continuous dependent variable statistical tests Categroical dependent variable statistical tests Analyzing data with proportion and odds ratios Using the Chi-Squared analysis and the Cochran Mantel Haenszel test Showing and explaining the different sample size formulas Requirements Basic level of mathematics training. A basic introduction to statistics course. Basic level understanding of some statistical software. No programming experience. Description Hello, thank you for considering this course Introduction to Biostatistics. I have made this course out of the years of college courses, webinars, and certificates that I have done over the last 22 years. I made the course at a level that a person who has had an Introduction to Statistics course should be able to start at the beginning and finish with a good education on Introductory Biostatistics. Some people say "Why teach the old stuff?" My reply is "You teach the old stuff because people might be looking for enough knowledge to do their analysis at hand and nothing more." I also think that, most of the new methods are built on the old method, and learning the old methods will help you gain a greater understanding of Biostatistical analysis.I begin the course at an introductory level : introductory probability, into intermediate probability with Bayes Formula and test validation study analysis and introduce Sensitivity and Specificity to parameters of validation studies. I cover the uses of probability in methods such as the Kaplan Meier Survival Analysis. I also make sure to cover the sample size calculation for each statistical method in the course because that will be a large part of your professional work. I briefly cover distributional probability and touch on the Empirical Rule and the T-distribution and including calculating Confidence Intervals.Next, I go into introductory research study methods, discussing rates and incidence and prevalence. I beginning to review hypothesis testing using the two-sample t-test; and then i move to the paired t-test which I discuss is a very useful method in health and clinical research. I also have two main tests, a mid-term and a final; to get you familiar with how the course quizzes in college will look. For all tests I also have a statistical software lesson showing how to do the analyses in SPSS and in R. This should make the time you actually work more productive because you won't be struggling through books or notes.From there I move to the categorical methods: Chi Squared and the Cochran Mantel Haenszel test. The Chi-Squared analysis is the workhorse of categorical Biostatistics. I explain it and do several sections on the Risk Ratio and the Odds ratio in order that you will become familiar with these estimators. The Cochran Mantel Haenszel test is the stratified analysis of more than 1 cross-sectional categorical table. It is also a very powerful method. It involves 3 variable, and I discuss the process models that have three variables and the differences and test that may indicate their presence in the data. My hope is that I will become a we, and we will learn as much as is possible about Biostatistics and improve and advance the field. I will be happy to support you after you have taken the course with whatever Biostatistical help you may need. I have continued to learn new methods well after college and I hope you will also. Thank you and good luck with your careers. Who this course is for College Level students looking to get degrees and create careers in Public Health or Biostatistics College Pharmacy students, Medical School students. Data Scientists that need more statistics training Managers that want to be able to analyze processes Homepage https://www.udemy.com/course/intro-to-biostatistics-and-chisquared/ Screenshot Rapidgator https://rg.to/file/377ad0a922b407f6421071908e333d26/stdqk.Introduction.to.Biostatistics.2024.part3.rar.html https://rg.to/file/4965820d071952bb6ea5f9aad522c697/stdqk.Introduction.to.Biostatistics.2024.part2.rar.html https://rg.to/file/56d7e202b41a70517ce7559e886d1598/stdqk.Introduction.to.Biostatistics.2024.part6.rar.html https://rg.to/file/7b82d5d1e38486638cd37ce329be56a4/stdqk.Introduction.to.Biostatistics.2024.part4.rar.html https://rg.to/file/a36ad2ee0a8d64bce3076285103b03f2/stdqk.Introduction.to.Biostatistics.2024.part5.rar.html https://rg.to/file/ea667fe4188cc67934de664e89e1deff/stdqk.Introduction.to.Biostatistics.2024.part1.rar.html Fikper Free Download https://fikper.com/99BcqY9rTV/stdqk.Introduction.to.Biostatistics.2024.part2.rar.html https://fikper.com/FHEmSJgGLa/stdqk.Introduction.to.Biostatistics.2024.part4.rar.html https://fikper.com/XzOVwDcT9g/stdqk.Introduction.to.Biostatistics.2024.part5.rar.html https://fikper.com/bzUfRhXutD/stdqk.Introduction.to.Biostatistics.2024.part1.rar.html https://fikper.com/ewBJqGAy9r/stdqk.Introduction.to.Biostatistics.2024.part3.rar.html https://fikper.com/qxZT1esYce/stdqk.Introduction.to.Biostatistics.2024.part6.rar.html No Password - Links are Interchangeable

Free Download Introduction to Agile & Scrum (2024) Published 10/2024 Created by John McFadyen MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 43 Lectures ( 1h 53m ) | Size: 1.42 GB Prepare yourself for certification and your business for transformation with the best Intro to Agile & Scrum available. What you'll learn The Trouble With Traditional Approaches: Master Agile project management and get ahead in the VUCA (volatile, uncertain, complex and ambiguous) world. The Manifesto for Agile Software Development: Discover the secrets of the Agile Manifesto and learn how to apply its principles to your projects. An Overview of Agile: Get a comprehensive overview of Agile, including its elements, advantages, and implications for your organisation. An Overview of The Scrum Framework: Learn how to use the Scrum framework to deliver results quickly and efficiently, even in complex environments. Scrum Roles & Responsibilities: Understand the roles and responsibilities of the Product Owner, Scrum Master, and Scrum Team Scrum Artefacts: Master the Scrum artifacts (Product Backlog, Sprint Backlog, and Product Increment) and how to use them effectively. Scrum Events: Learn about the Scrum events (Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective) Scrum Commitments: Understand the Scrum commitments (Product Goal, Sprint Goal, and Definition of Done) and how to use them to ensure quality and alignment. Supporting Practices: Learn about the best supporting practices for Scrum to help you achieve true agility. Requirements As this course is an introductory course, no experience of Agile and Scrum is required to enrol. Description Whether you've just heard of Agile and Scrum and want to learn more or you're an experienced project manager frustrated by late deliveries, this course is designed for you. Let the UK's leading trainers in Agile and Scrum guide you and your business toward transformation with this essential introductory course. Taught by John McFadyen and Karim Harbott, two of the founders of Agile Centre, this course offers rich, accessible content covering the reasons modern organisations need a new approach to business, as well as the theory, practices, and rules of Scrum.You'll learn how to implement Scrum in your organisation and receive practical guidance on continuously improving processes to boost performance and collaboration. The course will cover key concepts such as creating self-organising teams, managing backlogs, and fostering a culture of continuous feedback and adaptability. Whether you're looking to improve team efficiency or deliver projects more effectively, this course provides the foundation needed to embrace Agile.By the end, you'll be equipped with actionable strategies to adopt Scrum, improve workflows, and drive positive change across your organisation.This course includes the following modules:An Overview of AgileAn Overview of the Scrum FrameworkThe Scrum Roles & ResponsibilitiesThe Scrum ArtefactsThe Scrum EventsSupporting PracticesFAQsEXTRA: Hints & Tips From The FieldAgile Centre is a Scrum Alliance Registered Education Provider (REP), ensuring high-quality training aligned with industry standards. Who this course is for This on-demand training is suitable for anyone who is interested in learning about Agile and Scrum, either from a beginner level, or as refresh of existing knowledge. Homepage https://www.udemy.com/course/introduction-to-agile-scrum-x/ Screenshot Rapidgator https://rg.to/file/818740d37b8c97794e1a9ba8393ea500/kwnnt.Introduction.to.Agile..Scrum.2024.part1.rar.html https://rg.to/file/dcb65ccd6579165c345a391d1b29f95d/kwnnt.Introduction.to.Agile..Scrum.2024.part2.rar.html Fikper Free Download https://fikper.com/B6yJxjFRXf/kwnnt.Introduction.to.Agile..Scrum.2024.part2.rar.html https://fikper.com/QCxlB6neCU/kwnnt.Introduction.to.Agile..Scrum.2024.part1.rar.html No Password - Links are Interchangeable

Free Download Introduction to ARM Cortex-M Architecture Published 10/2024 Created by Educational Engineering Team,Educational Engineering MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 6 Lectures ( 44m ) | Size: 935 MB Unlock Embedded Systems Expertise with ARM Cortex-M: From Fundamentals to Real-World Applications What you'll learn Understand the architecture and core features of ARM Cortex-M microcontrollers, including models like M0, M3, M4, and M7. Implement efficient code using the ARM Thumb instruction set and manage registers and memory addressing effectively. Handle exceptions and interrupts by configuring the NVIC (Nested Vectored Interrupt Controller) for reliable system performance. Interface with peripherals and communication protocols, including UART, SPI, I2C, and GPIO, to connect with external devices. Requirements Basic knowledge of C programming is helpful but not required. A computer with internet access for following along with course materials. Optional: Access to an ARM Cortex-M development board (e.g., STM32 or NXP LPC) for hands-on practice. A willingness to explore embedded systems concepts from the ground up. Description Unlock the Power of ARM Cortex-M: Begin Your Embedded Systems Journey Today!Are you fascinated by the world of embedded systems but unsure where to start? Our comprehensive course on ARM Cortex-M architecture is the perfect stepping stone for enthusiasts and professionals alike.Why Choose This Course?In-Depth Understanding: Dive deep into the ARM Cortex-M series, exploring its architecture, instruction sets, and programming models.Practical Insights: While the course focuses on theoretical knowledge, it includes practical examples to illustrate key concepts.Expert Guidance: Learn from seasoned instructors with real-world experience in embedded systems development.Flexible Learning: Designed to suit beginners and those looking to refresh their knowledge without overwhelming complexity.What You'll Learn:1. Introduction to ARM Cortex-M ArchitectureOverview of the Cortex-M Series: Understand the key features that make ARM Cortex-M processors a popular choice in embedded systems.Different Models & Use Cases: Explore various Cortex-M models like M0, M3, M4, and M7, and discover which suits your project needs.2. Cortex-M Instruction Set and Programming ModelARM Thumb Instruction Set: Learn how the compact instruction set improves efficiency and performance.Register Structure & Addressing Modes: Get to grips with the processor's registers and how it accesses memory.3. Exception and Interrupt HandlingException Types & Vector Tables: Understand how the processor handles unexpected events and interrupts.NVIC Fundamentals: Dive into the Nested Vectored Interrupt Controller to manage multiple interrupts effectively.4. Memory Architecture and ManagementMemory Regions: Explore different memory types like Code,[beeep], Peripheral, and System memory.Stack & Heap Management: Learn best practices for efficient memory utilization in your applications.5. Power Management and Performance ModesPower-Saving Features: Discover how to implement Sleep modes and other power-saving techniques.Performance vs. Efficiency: Learn to balance system performance with power consumption for optimal results.6. Peripherals and Communication InterfacesInterfacing with Devices: Understand how to use UART, SPI, I2C, and GPIO with ARM Cortex-M processors.Role of CMSIS: Learn about the Cortex Microcontroller Software Interface Standard for streamlined development.Who Should Enroll?Aspiring Embedded Engineers: Perfect for those starting their journey in embedded systems.Software Developers: Expand your skill set into the hardware domain.Tech Enthusiasts & Hobbyists: For anyone passionate about microcontrollers and electronics.Embark on Your Learning AdventureThis course offers a solid foundation in ARM Cortex-M processors, preparing you for more advanced studies or projects in embedded systems. While we focus on delivering comprehensive theoretical knowledge, the insights gained here will be invaluable in practical applications.Don't miss this opportunity to enhance your skills and open up new career possibilities.Enroll Now and Take the First Step Toward Mastery in Embedded Systems! Who this course is for Aspiring embedded engineers looking to build a solid foundation in ARM-based microcontroller platforms. Software developers interested in expanding their expertise into the hardware and embedded domains. Electronics enthusiasts and hobbyists curious about microcontrollers and system-level programming. Professionals in embedded systems seeking to refresh or expand their knowledge on ARM Cortex-M processors. Homepage https://www.udemy.com/course/introduction-to-arm-cortex-m-architecture/ Screenshot Rapidgator https://rg.to/file/8a66e31835809a09f5418a68d073310a/nwfxc.Introduction.to.ARM.CortexM.Architecture.rar.html Fikper Free Download https://fikper.com/35iyXnPueY/nwfxc.Introduction.to.ARM.CortexM.Architecture.rar.html No Password - Links are Interchangeable

Free Download Introduction To Pharmacology For The Health Sciences Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 433.34 MB | Duration: 3h 35m Fundamentals of pharmacology for nursing and health science students and professionals. What you'll learn Understand foundational pharmacology concepts essential for safe and effective medication administration in clinical practice. Identify how medications influence physiological and pathophysiological processes across different body systems. Explain considerations and implications of medication use and administration across the lifespan. Identify the classifications and actions of antimicrobial and anti-infective medications. Identify the classifications and actions of autonomic nervous system medications. Identify the classifications and actions of respiratory medications. Identify the classifications and actions of cardiovascular and renal system medications. Identify the classifications and actions of medications regulating gastrointestinal elimination. Identify the classifications and actions of medications used to regulate the central nervous system (CNS), mood, and cognition. Identify the classifications and actions of endocrine system medications. Identify the classifications and actions of medications related to pain and mobility. Requirements This course will review relevant concepts related to human anatomy and physiology. In addition, this course will also introduce learners to medical terminology. Description This course is tailored to meet the needs of nursing students, nursing professionals, allied health professionals, and students in the health sciences, including those preparing for the NCLEX, as well as pre-pharmacy and pre-medical students. Whether you're just beginning your healthcare journey or looking to deepen your understanding of medications, this course offers a comprehensive yet accessible approach to pharmacology.We'll cover essential concepts like pharmacokinetics, pharmacodynamics, and safe medication administration, while exploring how these principles relate to the body's systems, including the nervous, cardiovascular, respiratory, gastrointestinal, and endocrine systems. You'll also gain a deeper understanding of medications used for common disease states. This course is designed to help you make critical connections between physiology, pathophysiology, and the therapeutic use of medications.To support your learning, we've included a range of study tools, including detailed articles, cheat sheets, quizzes, and links to additional resources. These materials are crafted to help you solidify your knowledge and provide quick references for key pharmacological concepts. Our focus on real-world clinical scenarios and critical thinking will prepare you to excel in your studies, clinical practice, and on exams like the NCLEX. Join us to build a strong foundation in pharmacology and elevate your healthcare expertise! Overview Section 1: Welcome Lecture 1 Course Contents Lecture 0 Summary: Course Contents Section 2: Introduction to Pharmacology Lecture 0 Medications and Classifications: Terms and Concepts Lecture 2 Medications and Classifications: Terms and Concepts Lecture 0 Safe Medication Administration Lecture 3 Safe Medication Administration Section 3: Pharmacokinetics and Pharmacodynamics Lecture 0 Introduction to Pharmacokinetics and Pharmacodynamics Lecture 4 Introduction to Pharmacokinetics and Pharmacodynamics Lecture 0 Pharmacokinetics: Absorption Lecture 5 Pharmacokinetics: Absorption Lecture 0 Pharmacokinetics: Distribution Lecture 6 Pharmacokinetics: Distribution Lecture 0 Pharmacokinetics: Metabolism Lecture 7 Pharmacokinetics: Metabolism Lecture 0 Pharmacokinetics: Elimination Lecture 8 Pharmacokinetics: Elimination Lecture 0 Pharmacodynamics: Onset, Peak and Duration Lecture 9 Pharmacodynamics: Onset, Peak and Duration Section 4: Infection and Anti-infectives Lecture 0 Concepts Related to Infection Lecture 10 Concepts Related to Infection Lecture 0 Bacterial Infections Lecture 11 Bacterial Infections Lecture 0 Viral Infections Lecture 12 Viral Infections Lecture 0 Fungal Infections Lecture 13 Fungal Infections Lecture 0 Parasitic and Protozoan Infections Lecture 14 Parasitic and Protozoan Infections Lecture 0 Variables Related to the Administration of Anti-infectives Lecture 15 Variables Related to the Administration of Anti-infectives Lecture 0 Antibacterials and Antibiotics Lecture 0 Beta-Lactam Antibiotics Lecture 16 Beta-Lactam Antibiotics Lecture 0 Sulfonamides Lecture 17 Sulfonamides Lecture 0 Fluoroquinolones Lecture 18 Fluoroquinolones Lecture 0 Macrolides Lecture 19 Macrolides Lecture 0 Aminoglycosides Lecture 20 Aminoglycosides Lecture 0 Tetracyclines Lecture 21 Tetracyclines Lecture 0 Glycopeptides Lecture 22 Glycopeptides Lecture 0 Antituberculars Lecture 23 Antituberculars Lecture 0 Antivirals Lecture 24 Antivirals Lecture 0 Antifungals Lecture 25 Antifungals Lecture 0 Antimalarials Lecture 26 Antimalarials Lecture 0 Antiprotozoals Lecture 27 Antiprotozoals Lecture 0 Anthelmintics Lecture 28 Anthelmintics Section 5: Regulation of the Autonomic Nervous System (ANS) Lecture 0 Introduction to the Nervous System Lecture 0 Communication in the Autonomic Nervous System Lecture 29 Communication in the Autonomic Nervous System Lecture 0 Sympathetic Nervous System Lecture 30 Sympathetic Nervous System Lecture 0 Sympathetic Nervous System: Alpha-1 Receptors Lecture 31 Sympathetic Nervous System: Alpha-1 Receptors Lecture 0 Sympathetic Nervous System: Alpha-2 Receptors Lecture 32 Sympathetic Nervous System: Alpha-2 Receptors Lecture 0 Sympathetic Nervous System: Beta-1 Receptors Lecture 33 Sympathetic Nervous System: Beta-1 Receptors Lecture 0 Sympathetic Nervous System: Beta-2 Receptors Lecture 34 Sympathetic Nervous System: Beta-2 Receptors Lecture 0 Catecholamines Lecture 35 Catecholamines Lecture 0 Parasympathetic Nervous System Lecture 36 Parasympathetic Nervous System Lecture 0 Parasympathetic Nervous System: Cholinergics (Muscarinic Agonists) Lecture 37 Parasympathetic Nervous System: Cholinergics (Muscarinic Agonists) Lecture 0 Parasympathetic Nervous System: Anticholinergics (Muscarinic Antagonists) Lecture 38 Parasympathetic Nervous System: Anticholinergics (Muscarinic Antagonists) Section 6: Regulation of Gas Exchange Lecture 0 Introduction to Ventilation and Gas Exchange Lecture 39 Introduction to Ventilation and Gas Exchange Lecture 0 Conditions and Diseases Related to Gas Exchange Lecture 40 Conditions and Diseases Related to Gas Exchange Lecture 0 Medications Affecting Ventilation and Gas Exchange Lecture 41 Medications Affecting Ventilation and Gas Exchange Section 7: Regulation of Perfusion and Renal Elimination Lecture 0 Introduction to Perfusion and Renal Elimination Lecture 42 Introduction to Perfusion and Renal Elimination Lecture 0 Functions of the Heart in Relation to Perfusion Lecture 43 Functions of the Heart in Relation to Perfusion Lecture 0 Blood Circulation in the Heart Lecture 44 Blood Circulation in the Heart Lecture 0 Blood Circulation in the Body Lecture 45 Blood Circulation in the Body Lecture 0 Electrical Conduction of the Heart Lecture 46 Electrical Conduction of the Heart Lecture 0 Cardiac Cycle Lecture 47 Cardiac Cycle Lecture 0 Cardiac Output Lecture 48 Cardiac Output Lecture 0 Blood Flow and Blood Pressure Lecture 49 Blood Flow and Blood Pressure Lecture 0 Homeostatic Regulation of the Cardiovascular System: RAAS Lecture 50 Homeostatic Regulation of the Cardiovascular System: RAAS Lecture 0 Introduction to the Kidneys Lecture 51 Introduction to the Kidneys Lecture 0 Blood and Coagulation Lecture 52 Blood and Coagulation Lecture 0 Conditions and Disorders Related to Perfusion Lecture 53 Conditions and Disorders Related to Perfusion Lecture 0 Considerations Related to the Administration of Medications Lecture 54 Considerations Related to the Administration of Medications Lecture 0 Antiarrhythmics Lecture 55 Antiarrhythmics Lecture 0 Cardiac Glycosides Lecture 56 Cardiac Glycosides Lecture 0 Antianginals Lecture 57 Antianginals Lecture 0 Diuretics Lecture 0 Diuretics Lecture 0 Antihypertensives Lecture 58 Antihypertensives Lecture 0 Blood Coagulation Modifiers Lecture 59 Blood Coagulation Modifiers Lecture 0 Erectile Agents Lecture 60 Erectile Agents Section 8: Regulation of Gastrointestinal Elimination Lecture 0 Introduction to the Gastrointestinal System and Processes Lecture 0 Stomach and Digestion Lecture 61 Stomach and Digestion Lecture 0 Gastrointestinal Elimination and Defecation Lecture 62 Gastrointestinal Elimination and Defecation Lecture 0 Conditions Affecting Gastrointestinal Elimination: GERD, PUD, Defecation Lecture 63 Conditions Affecting Gastrointestinal Elimination: GERD, PUD, Defecation Lecture 0 Nausea and Vomiting Lecture 64 Nausea and Vomiting Lecture 0 Medications Used to Regulate Gastrointestinal Elimination Lecture 0 Antiulcers Lecture 65 Antiulcers Lecture 0 Antiflatulents Lecture 66 Antiflatulents Lecture 0 Antidiarrheals Lecture 67 Antidiarrheals Lecture 0 Laxatives Lecture 68 Laxatives Lecture 0 Antiemetics Lecture 69 Antiemetics Section 9: Regulation of the Central Nervous System, Mood, and Cognition Lecture 0 Introduction to the Central Nervous System Lecture 70 Introduction to the Central Nervous System Lecture 0 Communication in the Central Nervous System: Neurons and Neurotransmitters Lecture 71 Communication in the Central Nervous System: Neurons and Neurotransmitters Lecture 0 Conditions of the Central Nervous System Lecture 72 Conditions of the Central Nervous System Lecture 0 Central Nervous System Depressants Lecture 73 Central Nervous System Depressants Lecture 0 Central Nervous System Stimulants Lecture 74 Central Nervous System Stimulants Lecture 0 Antidepressants Lecture 75 Antidepressants Lecture 0 Antimanic Medications Lecture 76 Antimanic Medications Lecture 0 Antipsychotics Lecture 77 Antipsychotics Lecture 0 Anticonvulsants Lecture 78 Anticonvulsants Lecture 79 Antiparkinson's Medications Lecture 0 Antiparkinson's Medications Section 10: Metabolic Regulation Lecture 0 Introduction to the Endocrine System Lecture 80 Introduction to the Endocrine System Lecture 0 Regulation of Hormone Secretion Lecture 81 Regulation of Hormone Secretion Lecture 0 Stimulation of Endocrine Glands Lecture 82 Stimulation of Endocrine Glands Lecture 0 The Hypothalamus-Pituitary Complex Lecture 83 The Hypothalamus-Pituitary Complex Lecture 0 Conditions Related to Metabolic Regulation Lecture 84 Conditions Related to Metabolic Regulation Lecture 0 Corticosteroids and the Adrenal Glands Lecture 85 Corticosteroids and the Adrenal Glands Lecture 0 Blood Glucose, Insulin, and the Pancreas Lecture 86 Blood Glucose, Insulin, and the Pancreas Lecture 0 Glucagon Lecture 87 Glucagon Lecture 0 Insulin Lecture 88 Insulin Lecture 0 Oral Antihyperglycemics Lecture 89 Oral Antihyperglycemics Lecture 0 Hormones of the Thyroid and Parathyroid Glands Lecture 0 Synthesis and Regulation of Thyroid Hormones Lecture 90 Synthesis of Thyroid Hormones Lecture 0 Regulation of Thyroid Hormone Secretion Lecture 0 Functions of Thyroid Hormones Lecture 0 Functions of Thyroid Hormones Lecture 0 Disorders of the Thyroid Lecture 0 Disorders of the Thyroid Lecture 0 Calcium Regulation Lecture 0 Calcium Regulation Lecture 0 Thyroid Medications and Modifiers of Calcium Lecture 0 Thyroid Medications and Modifiers of Calcium Section 11: Pain and Mobility Lecture 0 Physiology of Pain Lecture 0 Physiology of Pain Lecture 0 Mobility and the Musculoskeletal System Lecture 0 Mobility and the Musculoskeletal System Lecture 0 Types of Pain: Acute and Chronic Lecture 0 Types of Pain: Acute and Chronic Lecture 0 Conditions Related to Mobility and Pain Lecture 0 Conditions Related to Mobility and Pain Lecture 0 Non-Opioid Analgesics Lecture 0 Non-Opioid Analgesics Lecture 0 Opioid Analgesics Lecture 0 Opioid Analgesics Lecture 0 Opioid Antagonists Lecture 0 Opioid Antagonists Lecture 0 Adjuvant Analgesics Lecture 0 Adjuvant Analgesics Lecture 0 Antigout Medications Lecture 0 Antigout Medications Lecture 0 Anesthetics Lecture 0 Anesthetics This course is designed for nursing students, practicing nurses, allied health professionals, health sciences students, including those in fields such as pre-medicine and pre-pharmacy. This course provides a comprehensive yet accessible introduction and review of foundational pharmacology concepts, with a focus on various body systems. This course is also designed to help NCLEX test-takers reinforce pharmacology concepts to succeed with the NCLEX exam. Screenshot Homepage https://www.udemy.com/course/introduction-to-pharmacology-for-the-health-sciences/ Rapidgator https://rg.to/file/b381eb40c86f5e60edad5a1aefdb6312/ilrav.Introduction.To.Pharmacology.For.The.Health.Sciences.rar.html Fikper Free Download https://fikper.com/o5kN6fKgSf/ilrav.Introduction.To.Pharmacology.For.The.Health.Sciences.rar.html No Password - Links are Interchangeable

Free Download Introduction To Machine Learning by Dr.Padmapriya G Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 836.56 MB | Duration: 2h 46m Machine Learning, Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Markov Models, HMM What you'll learn Explore the fundamental mathematical concepts of machine learning algorithms Apply linear machine learning model to perform regression and classification Utilize mixture models to group similar data items Develop macine learning models for time-series data prediction Design ensemble learning model using various machine learning algorithms Requirements No programming experience is need Description Course Description:Unlock the power of machine learning with this comprehensive course designed for beginners and intermediate learners. You will be guided through the essential concepts, algorithms, and techniques driving machine learning today, building a solid understanding of how machines learn from data and solve real-world problems. This course is designed to help you grasp the theoretical underpinnings of machine learning while applying your knowledge through solved problems, making complex concepts more accessible.What You'll Learn:Core Principles of Machine Learning: Gain a deep understanding of how systems learn from data to make intelligent decisions.Supervised Learning: Explore predictive modeling using algorithms like Linear Regression, and Support Vector Machines (SVM).Unsupervised Learning: Master clustering techniques like k-Means and Hierarchical Clustering to discover patterns in data.Regression and Classification: Learn how to model continuous outcomes (regression) and classify data into distinct categories (classification).Clustering: Group similar data points to uncover hidden structures within large datasets.Markov Models & Hidden Markov Models (HMMs): Understand probabilistic models that predict future states and learn how they are used to model sequences and temporal data. Through solved problems, you'll explore how these models work in practice, gaining insights into the theoretical foundation and practical application of HMMs in time-series data and sequential decision-making processes.Machine learning is transforming industries by enabling systems to learn and make intelligent decisions from data. This course will equip you with a strong foundation in machine learning, focusing on problem-solving and theoretical understanding without the need for hands-on implementation.Practical Application Through Solved Problems:This course includes solved problems to illustrate how each algorithm and technique works in practice. These examples will help you apply theoretical concepts to real-world situations, deepening your understanding and preparing you to solve similar problems in your professional or academic career.Through detailed explanations of algorithms, real-world examples, and step-by-step breakdowns of machine learning processes, you'll develop a solid grasp of the models and techniques used across various industries. This course is perfect for learners who want to master the core concepts of machine learning and engage with practical applications without diving into programming or technical implementation.Course Highlights:No Programming Required: Focus on understanding the theory behind machine learning algorithms and models.Solve Real-World Problems: Work through practical examples to understand how to apply machine learning techniques to everyday challenges.Evaluate Model Performance: Learn to assess, interpret, and refine machine learning models effectively.Build a Strong Conceptual Foundation: Prepare for future practical applications in machine learning or data-driven fields.Who Should Take This Course:Students and Professionals: Ideal for those seeking an in-depth introduction to machine learning theory.Enthusiasts with Basic Knowledge of Math and Programming: Perfect for those interested in machine learning concepts through solved problems and real-world examples. Overview Section 1: Introduction Lecture 1 Machine Learning What and Why? Lecture 2 Supervised and Unsupervised Learning Lecture 3 Polynomial Curve Fitting Lecture 4 Probability Theory - Introduction and Fundamental Rules Lecture 5 Probability - Bayes Rule and Independence and Conditional Independence Lecture 6 Probability - Random Variables and Density Function Lecture 7 Probability - Quantiles, Mean, Variance, Expectation and Covariance Section 2: Linear Models for Regression Lecture 8 Robust Linear Regression Lecture 9 Ridge Linear Regression Section 3: Mixture Models and EM Lecture 10 K- Means Clustering Lecture 11 K-Means Clustering Solved Problem Lecture 12 PCA Solved Problem Lecture 13 Hierarchical Clustering Section 4: Hidden Markov Models Lecture 14 Sequential Data and Markov Model Beginners for Machine learning Screenshot Homepage https://www.udemy.com/course/introduction-to-ml/ Rapidgator https://rg.to/file/9cc5f618079c81e745e0160f63837908/zgrua.Introduction.To.Machine.Learning.by.Dr.Padmapriya.G.rar.html Fikper Free Download https://fikper.com/53VHMcS850/zgrua.Introduction.To.Machine.Learning.by.Dr.Padmapriya.G.rar.html No Password - Links are Interchangeable

Free Download Introduction To Machine Learning Models (Ai) Testing Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.01 GB | Duration: 4h 54m From Scratch, Learn testing types and Strategies involved in all the phases of ML Models (AI) with real time examples What you'll learnIntroduction to Artificial Intelligence and Machine Learning Models Understanding Lifecycle of Machine Learning Models and their testing Scope Shift-Left Testing in the ML Engineering Phase such as OverFitting & UnderFitting Testing QA Functional Testing in the ML Validation Phase with 25 different Testing types & Strategies API Testing Scope for Machine Learning Models with ChatGPT Model example Responsible AI Testing for Machine Learning Models such as Bias, Fairness, Ethical, Privacy Testing etc Post-Deployment Testing Strategies for ML Models such as DataDrift & Concept Drift testing Continuous Tracking and Monitoring Activities for QA in Production RequirementsNone. All the concepts are taken care with Scratch explanation DescriptionThis course will introduce you to the World of Machine Learning Models Testing. As AI continues to revolutionize industries, many companies are developing their own ML models to enhance their business operations. However, testing these models presents unique challenges that differ from traditional software testing. Machine Learning Model testing requires a deeper understanding of both data quality and model behavior, as well as the algorithms that power them.This Course starts with explaining the fundamentals of the Artificial Intelligence & Machine Learning concepts and gets deep dive into testing concepts & Strategies for Machine Learning models with real time examples.Below is high level of Agenda of the tutorial:Introduction to Artificial IntelligenceOverview of Machine Learning Models and their LifecycleShift-Left Testing in the ML Engineering PhaseQA Functional Testing in the ML Validation PhaseAPI Testing Scope for Machine Learning ModelsResponsible AI Testing for ML ModelsPost-Deployment Testing Strategies for ML ModelsContinuous Tracking and Monitoring Activities for QA in ProductionBy the end of this course,you will gain expertise in testing Machine Learning Models at every stage of their lifecycle.Please Note:This course highlights specialized testing types and methodologies unique to Machine Learning Testing, with real-world examples.No specific programming language or code is involved in this tutorial. OverviewSection 1: Getting Started with Machine Learning Testing basics Lecture 1 Introduction and Agenda of the tutorial Lecture 2 Introduction to Artificial Intelligence Systems with examples Lecture 3 What is Machine Learning and how it is related to Artificial Intelligence family Lecture 4 Examples of commonly used Machine Learning Models and their usage Section 2: Shift Left Testing in ML Model Engineering phase (Supervised Learning) Lecture 5 Understand Machine Learning Model Life cycle stages with online/offline modes Lecture 6 How Machine Learning models works in nutshell -Learn terminologies used Lecture 7 Understand how OverFitting Testng & UnderFitting works with Trained data sets Lecture 8 Predicting House Prices (ML Model) Demo to show how internally Algorithms works Lecture 9 Revision on Supervised Learning Model Testing with Overfitting/UnderFitting ex Section 3: Unsupervised Learning Models Testing in Engineering Phase Lecture 10 Introduction to Unsupervised Learning in the ML models with example Lecture 11 Testing scope on Unsupervised Learning with Data point patterns&Cluster scores Lecture 12 Revision on Unsupervised Learning with cluster score analysis Section 4: Reinforcement Learning & Commonly used Frameworks and Algos in ML Models Lecture 13 Introduction to Reinforcement Learning in ML Model with examples Lecture 14 Algorithms and Frameworks commonly used in developing ML Models Section 5: Functional Testing for Machine Learning Models in Evaluation Phase Lecture 15 What are Validation Unseen Data sets and why it is required Lecture 16 Temperature Testing to fine tune the response predictions from ML Models Lecture 17 Prompts Testing with Zero Shot & Chain of thought Prompts test Lecture 18 Relevance stary Testing & Fantasy claims testing on ML Models Lecture 19 Repeatability Testing & Asking question in different phases to test Lecture 20 Style Transfer testing & Intent recognition testing on ML Models Lecture 21 What is Invariance Testing & BiDirectional testing for AI Models Section 6: Introduction to API Testing on Machine Learning Models Lecture 22 Create OpenAI Account to test ChatGPT API's of generating response Lecture 23 Download Postman tool to setup ChatGPT APIs environment for testing Lecture 24 PostBot plugin to generate automation scripts for API responses in Postman Section 7: Responsible AI Testing with examples on Machine Learning (AI) Models Lecture 25 Importance of Fairness testing on ML responses to check bias Lecture 26 Transparency testing and why it is necessary to stay ahead in AI competition Lecture 27 Data Privacy and Security testing on Machine Learning models Section 8: Post Deployment Testing Types with examples on Machine Learning Models Lecture 28 Importance of Integration & Latency testing on Production ML models Lecture 29 Importance of Data drift Testing & Concept Drift Testing in ML Models Lecture 30 Shadow Testing & A/B Testing to certify the latest version of ML into prod Section 9: Final words - Impact of Machine Learning Models in QA Space Lecture 31 How QA's can be critical resources for Machine Learning Model Life cycle Lecture 32 Bonus Lecture QA Testers,Software Engineers,Software Testers,Data Engineers,Developers,Test Managers Homepage https://www.udemy.com/course/machine-learning-models-ai-testing/ Rapidgator https://rg.to/file/0274d5b78f2c1dc209d45da2779adba2/ljrfw.Introduction.To.Machine.Learning.Models.Ai.Testing.part4.rar.html https://rg.to/file/0398e5d870f0349257e96e5572208a39/ljrfw.Introduction.To.Machine.Learning.Models.Ai.Testing.part1.rar.html https://rg.to/file/7248aaf3582e508835ebdf9a50a0ee13/ljrfw.Introduction.To.Machine.Learning.Models.Ai.Testing.part2.rar.html https://rg.to/file/cd83cdb364cc92fbdda0c244d064661d/ljrfw.Introduction.To.Machine.Learning.Models.Ai.Testing.part3.rar.html Fikper Free Download https://fikper.com/7YbU88WFvn/ljrfw.Introduction.To.Machine.Learning.Models.Ai.Testing.part1.rar.html https://fikper.com/Iwf11shZXn/ljrfw.Introduction.To.Machine.Learning.Models.Ai.Testing.part3.rar.html https://fikper.com/cF8XUqYGTE/ljrfw.Introduction.To.Machine.Learning.Models.Ai.Testing.part4.rar.html https://fikper.com/yhyAnByfdB/ljrfw.Introduction.To.Machine.Learning.Models.Ai.Testing.part2.rar.html No Password - Links are Interchangeable

Free Download Introduction To Gouache Landscape Painting Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.43 GB | Duration: 0h 31m Learn to paint in Gouache, Get to know the basic techniques to understand the medium better & paint a landscape What you'll learn What Is Gouache, and How Does It Differ from Watercolor? Master key techniques like blending, layering, and flat wash, to achieve different effects. Add details and refine your work for a polished final piece you'll be proud to display Understanding Composition better to create Masterful paintings Create a stunning landscape painting with limited color palette Requirements No specific requirements Description In this introductory class, you'll explore the basics of Gouache, a versatile medium that combines the opacity of acrylics with the fluidity of watercolors. You'll learn how it differs from watercolor in terms of texture, color richness, and application. We'll also cover the characteristics of gouache paints, how to mix colors, and the types of brushes and paper that work best with this medium.In this course, you'll learn:Gouache Fundamentals: What Is Gouache, and How Does It Differ from Watercolor?Techniques: Blending: Learn how to smoothly transition between colors to create gradients or soft blends, perfect for skies, water, or backgrounds.Layering: Explore the beauty of gouache's opacity by layering light over dark, building up intricate details and textures.Flat Wash: Master the flat wash technique for achieving even, consistent color coverage in large areas without streaks or unevenness.Composition: Understanding Composition better to create Masterful paintings. Introduction to the Rule of Thirds.Finishing Touches: Add details and refine your work for a polished final piece you'll be proud to displayProject work: Create a stunning landscape painting with limited color paletteWho this class is for: Beginner and Intermediate level artists that interested to learn about Gouache and Landscape painting Overview Section 1: Introduction Lecture 1 Introduction to the Course! Section 2: All the Supplies you will need Lecture 2 All the Supplies you will need Section 3: Gouache Vs Watercolors Lecture 3 Gouache Vs Watercolors Section 4: Usage and Making Various consistencies of Gouache Paints Lecture 4 Usage and Making Various consistencies of Gouache Paints Section 5: Techniques in Gouache Lecture 5 Techniques in Gouache Section 6: Composition : Rule of thirds Lecture 6 Composition : Rule of thirds Section 7: Painting the Sky Lecture 7 Painting the Sky Section 8: Painting the Land Lecture 8 Painting the Land Section 9: Adding Highlights Lecture 9 Adding Highlights Section 10: Thank you! Lecture 10 Thank you! For beginner and intermediate visual artists Screenshot Homepage https://www.udemy.com/course/introduction-to-gouache-landscape-painting/ Rapidgator https://rg.to/file/617b85d0aec22b19f0f5736fbb24586c/kyoxq.Introduction.To.Gouache.Landscape.Painting.part1.rar.html https://rg.to/file/f289db032ef1fb1e60bb817d38b42dcc/kyoxq.Introduction.To.Gouache.Landscape.Painting.part2.rar.html Fikper Free Download https://fikper.com/j9lR8DSV8c/kyoxq.Introduction.To.Gouache.Landscape.Painting.part2.rar.html https://fikper.com/y4Aqe4gZ4L/kyoxq.Introduction.To.Gouache.Landscape.Painting.part1.rar.html No Password - Links are Interchangeable

Free Download Introduction To Business Analytics (2024) Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 797.98 MB | Duration: 0h 53m Gain Insight Into Workplace Efficiency, Employee Performance, Advertising ROI And Future Trends For Business Advantage What you'll learn Understand the current roles and applications of business analytics. Recall concepts of business analytics and its wider importance for professional success. Spot different types and sources of data, and how to collect them properly. Visualise data to unlock insightful and meaningful information. Understand when different visualisation tools are appropriate given the source, type and context of the data provided. Implement predictive analytics correctly, from method through to validation. Apply time-series data in a meaningful way to spot trends and patterns. Gain a stronger appreciation of the future of business analytics, and what each trend may mean for your company. Requirements No specific requirements. Description Are you looking to increase your business' profits and ROI using cutting-edge analytics tools? Do you want to better understand the basics of data science, and how to implement those techniques in the real world? Would you like to maximise workplace performance, marketing strategy and overall efficiency, but aren't sure where to start? If you answered yes to any of these questions, then this course is for you! Data is at the heart of every company's success, so it is essential you know the basic analytical concepts and how to apply them correctly. From predicting forecasting to heat mapping, there are endless ways to make use of data for business performance. Analytics can help drive decision-making, quantify risk and even improve task efficiency. First, however, we need to focus on the fundamentals before we can utilise data's endless possibilities. Considering that 63% of companies have implemented either artificial intelligence or machine learning to enhance their analytical capabilities, it is key you stay up to date! Throughout a series of six short video-based lectures, you will learn to navigate the dynamic landscape of business analytics. We will uncover the current roles and applications driving this field, empowering you to grasp its significance for professional triumph. You'll recall vital business analytics concepts through interactive lessons and explore their broader implications. By delving into data visualisation techniques, you'll unlock insightful and meaningful information hidden within data sets. We will guide you to adeptly identify diverse data types and sources, ensuring proficient and ethical data collection methods. You'll develop a keen sense of discernment in selecting appropriate visualisation tools based on data sources, types, and contextual cues. From predictive analytics methods to validation strategies, you'll gain the skills to effectively implement these tools. Moreover, you'll harness the power of time-series data, deciphering trends and patterns that hold valuable insights. As you progress, you'll cultivate a profound understanding of upcoming trends in business analytics, equipping you to anti[beeep]te their impact on your organisation's future. This course paves the way for a transformative journey toward becoming a proficient and forward-thinking business analytics practitioner. By the end of this course, we are confident you will emerge with a robust skill set in business analytics, equipped to discern, analyse and visualise data effectively, make informed decisions using predictive analytics and possess a clear vision of how to leverage emerging trends for your company's strategic advantage. So, are you ready to push your business into the future and revolutionise your processes? Enrol now to learn more! Overview Section 1: Introduction Lecture 1 Introduction To Business Analytics Section 2: Introduction To Business Analytics Lecture 2 Importance Of Analytics In Decision Making And Key Terminologies Lecture 3 Foundations Of Business Analytics Lecture 4 Predictive Analytics Lecture 5 Time Series Analysis Lecture 6 Future Trends In Business Analytics Section 3: Conclusion Lecture 7 Conclusion Managers who want to gain extra insight into workplace tasks and employee performance.,Business owners who want to take their company to the next level using novel and unique methods.,Professionals hoping to use future analytical trends to stay ahead of the curve.,Individuals in marketing or UX hoping to use customer-based data to improve advertising and product experience.,Business leaders seeking practical skills in business analytics, regardless of their initial understanding.,Professionals looking to take a more technical approach to business, using case studies and useful information to motivate important decisions within their company. 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Free Download Introduction To Anti-Money Laundering (Aml) Last updated 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 426.43 MB | Duration: 0h 58m Master the essentials of Anti-Money Laundering (AML) to safeguard financial systems and ensure regulatory compliance. What you'll learn The foundational principles and importance of Anti-Money Laundering (AML) in protecting financial systems. The different methods used for money laundering, including understanding the stages of the process-placement, layering, and integration. The purpose and strategies behind money laundering, with real-world examples. How to apply KYC (Know Your Customer) standards and regulations in financial systems to prevent money laundering. The global role and functions of the FATF (Financial Action Task Force) in setting AML standards. Key procedures in retail banking and financial institutions related to AML and KYC. Requirements Basic understanding of finance: A foundational knowledge of financial systems, banking, or related fields will be helpful but not mandatory. Interest in compliance and regulations: This course is suitable for learners interested in understanding legal, financial, and regulatory frameworks. Description Section 1: IntroductionIn this section, students will gain a foundational understanding of Anti-Money Laundering (AML) practices. The introductory lecture provides an overview of AML, explaining its significance in combating illegal financial activities and protecting global financial systems from exploitation.Section 2: MethodsThis section delves deeper into the methods and mechanisms of money laundering. Students will learn about the purpose of money laundering, exploring the motives behind concealing illegally obtained funds. It will also cover the different ways in which money laundering can occur, providing real-world examples to enhance understanding. The stages of money laundering, including placement, layering, and integration, will be discussed in detail to help students recognize how illicit funds are cycled through financial systems.Section 3: ERP ExplanationThe final section covers the ERP (Enterprise Resource Planning) aspects related to AML practices, focusing on international standards and guidelines. Lectures will explore the functions of the FATF (Financial Action Task Force), the global watchdog for financial crimes. KYC (Know Your Customer) training will be introduced, emphasizing its importance in verifying customer identities and reducing risk in financial institutions. Topics like retail banking and KYC standards will help students understand how financial institutions implement AML protocols in day-to-day operations, particularly in customer onboarding and transaction monitoring.ConclusionBy the end of this course, students will have a thorough understanding of Anti-Money Laundering (AML) principles, methods, and regulatory frameworks. They will be equipped with the skills necessary to identify suspicious financial activities, ensuring compliance with global standards and contributing to the fight against financial crime. Overview Section 1: Introduction Lecture 1 Introduction to Anti Money Laundering (AML) Section 2: Methods Lecture 2 Purpose Of Money Laundering Lecture 3 Different Ways of Money laundering Lecture 4 Stages of Money Laundering Section 3: ERP Explanation Lecture 5 Functions of FATF Lecture 6 KYC Training Lecture 7 Retail Banking Lecture 8 KYC Standard Finance professionals: Individuals working in banking, financial services, or accounting who want to enhance their understanding of Anti-Money Laundering (AML) practices.,Compliance officers: Those responsible for ensuring their organization follows legal and regulatory standards related to financial crimes.,Legal professionals: Lawyers or consultants specializing in financial crime, fraud, or regulatory compliance.,Students and graduates: Individuals pursuing careers in finance, banking, law, or related fields.,Business owners and managers: Entrepreneurs looking to protect their businesses from financial fraud and money laundering activities.,Anyone interested in financial crime prevention: Those curious about how AML practices work and how they affect global financial systems. Screenshot Homepage https://www.udemy.com/course/introduction-to-anti-money-laundering-aml/ Rapidgator https://rg.to/file/916b33fb9fc9712d4506aa9d7e557851/sgoxv.Introduction.To.AntiMoney.Laundering.Aml.rar.html Fikper Free Download https://fikper.com/Oq0lJrdgFx/sgoxv.Introduction.To.AntiMoney.Laundering.Aml.rar.html No Password - Links are Interchangeable

Free Download Introduction To Ai And Enhancing Productivity At Work Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.22 GB | Duration: 1h 40m AI Fundamentals, Data-Driven Decision Making, Practical Applications for your Job! What you'll learn Help professionals understand how AI tools can boost productivity Professionals will learn essential AI concepts Professionals will learn practical applications in workplace settings By the end of this course, learners will have a foundational understanding of AI and practical ways it can be used to streamline work processes, automate tasks. Requirements An ambition to improve productivity, and openness to learning about AI tools. Description Are you ready to unlock the full potential of artificial intelligence to transform the way you work? "Introduction to AI and Enhancing Productivity at Work" is your gateway to a smarter, more efficient future. In today's fast-paced world, it's not enough to just work hard-you need to work smart. AI is no longer a tool for tech experts alone; it's a game-changer for anyone looking to gain a competitive edge in the workplace.This course is designed for professionals across all industries who want to leverage AI to streamline tasks, automate processes, and make data-driven decisions. Whether you're a manager, entrepreneur, or team member, AI can empower you to achieve more with less effort-freeing up time for the creative, high-impact work that drives real results.What you'll learn:AI Fundamentals for Everyone: Gain a clear understanding of what AI is, how it works, and why it's reshaping the future of work.Boosting Productivity with AI Tools: Discover the latest AI-powered tools and platforms that can automate repetitive tasks, manage your time more effectively, and enhance collaboration.Data-Driven Decision Making: Learn how AI can help you gather, analyze, and interpret data to make smarter, more strategic decisions.AI in Action: Explore real-world examples of how AI is being used to solve problems, innovate, and create efficiency in various industries.Practical Applications for Your Job: Tailor what you learn to your own work environment, so you can start applying AI to boost productivity from day one.By the end of this course, you won't just understand AI-you'll know how to use it to your advantage. You'll walk away with the confidence and skills to thrive in an AI-powered workplace, working smarter, faster, and more efficiently than ever before.Join us, and take the first step toward a future where you're not just surviving in the modern workplace-you're thriving. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 How A.I. Is Revolutionizing Productivity Section 2: AI Powered Tools for Personal Productivity Lecture 3 AI Tools Section 3: AI Enhanced Decision-Making and Problem Solving Lecture 4 AI and Decision Making Section 4: Automating Repetitive Tasks with AI Lecture 5 AI Based Automation Platforms Lecture 6 Automating document processing (e.g., DocuSign, OCR tools) Lecture 7 AI Chatbots Lecture 8 AI in Content Creation Lecture 9 AI Driven Design Tools Section 5: Ethical Considerations and Challenges of AI in the Workplace Lecture 10 Managing AI in the Workplace Lecture 11 Ethics and AI Lecture 12 The Future of Work Section 6: Building your AI Productivity Toolkit Lecture 13 Ongoing AI Tool Adoption Lecture 14 Personalizing AI Tools for Efficiency Lecture 15 Selecting the Right AI Tools Section 7: Enhancing Productivity, Making Money and the Future Lecture 16 Blue Ocean Strategy Lecture 17 Start with Why? Lecture 18 Automate your Airbnb Property Management Lecture 19 Unlock Revenue Management Secrets for AI Lecture 20 The Future of the Gig Economy Lecture 21 Unlocking AI for Smart Investing Section 8: Extra Material Lecture 22 Getting Things Done Lecture 23 AI 2041 Visions for our Future Lecture 24 AI for Remote Work Optimization Lecture 25 AI Supporting Productivity Lecture 26 AI for Predictive Decision Making Lecture 27 AI for Business Optimization Lecture 28 Nexus Lecture 29 AI Communication and Collaboration Beginners who have never used AI before. 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Free Download Intro to Wireshark Published 10/2024 Created by TechKnowSurge (Andrew Grimes) MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 13 Lectures ( 39m ) | Size: 613 MB Learn Wireshark Basics for Use in Networking and Cybersecurity Courses What you'll learn Navigate the Wireshark program Identify, sort, and filter for packets that meet a criteria Identify layers of an individual packet learn the overall basics on how to operate Wireshark Requirements no prior knowledge needed for this course Description Learn the basics of Wireshark. This course is straight and to the point, no extra fluff. Designed to get you the skills you need to navigate Wireshark so you can use it to study networking and cybersecurity topics.Key components of the course include:Navigate the Wireshark programIdentify, sort, and filter for packets that meet a criteriaIdentify layers of an individual packetWho Should Take this Course:Anyone wanting to quickly learn the basics in WiresharkThose taking a networking or cybersecurity courseInstructor BioTechKnowSurge (Andrew Grimes) has been in the tech industry since 2000 and even longer as an Instructor. He started out as a Survival Instructor for the United States Air Force (USAF) in 1997. When he got out of the military, he started teaching computer classes. Wanting to advance his technical skills, he became a contractor working on a wide range of technologies while teaching technology college courses in the evening. Overtime, he became a hiring manager, director, and leaderHis background includes:Building a security program within 2 years to include becoming SOC 2 Type 2 compliantLeading and maximizing efficiency of IT, Security, and DevOps teamsManaging SaaS company infrastructure with millions of active usersManaging small, medium, and large IT InfrastructuresMigrating technologies to the cloudManaging multi-million dollar budgets and reducing overall budget spend year over yearUtilizing various project management techniques such as waterfall, scrum and Kanban to maximize efficiency and successBachelors in Workforce EducationMasters in Computer Resource and Information ManagementOver 6,000 hours of teaching experienceOver 20 industry standard certifications.Past student reviews:"Andrew is absolutely the best instructor I've had throughout the course of my education. He is extremely knowledgeable when it comes to all things network and IT-related. Because of the education he provided, I am now working in the network engineering field, and I could not have done it without his expert guidance." ~Michael B."Andrew was hands down my favorite instructor since enrolling" "He has great skills as an instructor, and I've learned a lot from his classes." ~Jeff S."As an instructor, he is thorough, articulate, patient and positive. He genuinely cares that his students fully comprehend the curriculum. I have a great deal of respect for Andrew. I can't recommend him highly enough." ~Dan H."I found Andrew to be one of the best Instructors" "He presents the information with real world applications, which helped to reinforce the concepts presented in the Cisco Certification track." "I am truely thankful to have had him as my teacher." ~Dan M."Andrew is very knowledgeable and brings his practical business experience with him. He expresses himself very well and treats everyone with respect. He explains very complicated concepts in a manner that is easy to understand." "It is without reservation that I would recommend Andrew as a business professional and/or teacher." ~Adam C."Andrew is an excellent instructor and more." "Andrew is the kind of teacher that you never forget." ~ William C."Andrew Grimes is a first rate instructor who genuinely cares about the success of his students. I was fortunate to have Andrew as my instructor." "I highly recommend Andrew as an instructor and IT professional." ~Paul C."Andrew is a great instructor who really cares whether his students grasp the concepts he teaches. He has a passion for teaching that many couldn't muster." ~Patrick R."He was a great teacher and I would gladly take a class under him again." ~Joshua R."...his style of teaching is accommodating for any level, that a student is starting off at, either beginning or advance in IT world." ~Paul W."He fosters a multidimensional environment of learning in which students of diverse abilities excel." ~Mark B"Andrew Grimes was a great Data Networks and Telecommunications Instructor." "I would highly recommend him to any who desires to further their education." ~ Tommy S. Who this course is for Anyone wanting to quickly learn the basics in Wireshark Those taking a networking or cybersecurity course Homepage https://www.udemy.com/course/intro-to-wireshark/ Screenshot Rapidgator https://rg.to/file/ba3894dfe50ce629c73215bd43f3b0a9/yxers.Intro.to.Wireshark.rar.html Fikper Free Download https://fikper.com/ERmwfNfjEN/yxers.Intro.to.Wireshark.rar.html No Password - Links are Interchangeable

Free Download Intro to Data & AI Ethics Published 10/2024 Created by Maven Analytics,Chris Bruehl MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 46 Lectures ( 1h 32m ) | Size: 526 MB Explore complex, thought-provoking ethical issues in the age of AI, and the importance of responsible data stewardship What you'll learn Review the fundamental concepts of ethics, and discuss how data ethics differs from legal frameworks regulating data Understand how to be an effective steward of data, and review the ethical implications of collecting and managing sensitive data Learn how to detect and mitigate common forms of bias, including sampling, selection, algorithmic and confirmation bias Dive into the world of AI and explore unique ethical challenges in terms of data collection, bias, and societal harm Requirements This is an entry-level course (no prerequisites) Some experience working with data is helpful, but not required Description Data and AI Ethics are topics that most data leaders and professionals don't learn in school, or on the job.But as the volume of data grows and the impact of ML & AI algorithms continues to increase, understanding the ethical implications of our work - and how to prevent & mitigate ethical lapses - is more important than ever.We'll start this course by defining AI and Data ethics before moving on to what it means to be an ethical steward of data.From there, we'll dive into the types of bias that can be present in your data and how it can propagate into analyses and algorithms in a way that can not only raise ethical questions, but also negatively impact your company's bottom line.Next, we'll dive into the world of modern AI models, and the unique risks and ethical concerns posed by powerful generative AI tools. We'll use case studies to highlight real-life controversies, discuss how to mitigate the risk of ethical lapses, and use thought exercises to help you develop the skills to anti[beeep]te, identify, and mitigate the risk of ethical lapses in your day-to-day work.COURSE OUTLINE:Data Ethics 101Introduce the fundamental concepts of ethics, and discuss how data ethics differs from legal frameworks regulating dataEthical Data StewardshipUnderstand how to be an effective steward of data, and review the ethical implications of collecting and managing sensitive dataData & Algorithmic BiasLearn how to detect and mitigate common forms of bias, including sampling, selection, algorithmic and confirmation biasAI Ethics & ImpactDive into the world of AI and explore unique ethical challenges in terms of data collection, bias, and societal harm__________Ready to dive in? Join today and get immediate, LIFETIME access to the following:1.5 hours of high-quality video6 real-world case studies9 thought exercises4 course quizzesData & AI Ethics ebook (50+ pages)Expert support and Q&A forum30-day Udemy satisfaction guaranteeIf you're looking for a unique and highly engaging way to learn about data and AI ethics, this course is for you.Happy learning!-Chris Bruehl (Data Science Expert & Lead Python Instructor, Maven Analytics)__________Looking for our full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, Tableau and Machine Learning courses!See why our courses are among the TOP-RATED on Udemy:"Some of the BEST courses I've ever taken. I've studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I've seen!" Russ C."This is my fourth course from Maven Analytics and my fourth 5-star review, so I'm running out of things to say. I wish Maven was in my life earlier!" Tatsiana M."Maven Analytics should become the new standard for all courses taught on Udemy!" Jonah M. Who this course is for Data leaders looking to build a deeper understanding of the ethical concerns prevalent in modern data products and projects Individual contributors who want to learn more about how they can identify and mitigate potential ethical issues in their day-to-day work Anyone looking for a thought-provoking and highly engaging course on ethics in the age of AI Homepage https://www.udemy.com/course/data-ai-ethics/ Screenshot Rapidgator https://rg.to/file/52327712380f06ce4c83b7994d9688fc/usczc.Intro.to.Data..AI.Ethics.rar.html Fikper Free Download https://fikper.com/tErfg8QJQx/usczc.Intro.to.Data..AI.Ethics.rar.html No Password - Links are Interchangeable

Free Download Intro to 3D Coat From Noob to Cook Published 10/2024 Created by Anton Tenitsky MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 153 Lectures ( 8h 5m ) | Size: 8.2 GB Essential 3D Coat Skills: Sculpt, Retopologize, Texture & Render Like a Pro What you'll learn Navigate the 3D Coat interface Master voxel and surface sculpting Perform manual retopology Create and optimize UV maps Bake textures and apply materials Requirements No prior experience with 3D Coat is required Description The course is designed to guide you through the fundamental features of this 3D sculpting software.I am covering key topics like sculpting, manual and auto-retopology, UV mapping, baking texturing, and rendering. The tutorial also bridges the workflow between 3D Coat and Blender, showing how to set up scenes and create camera animations for professional-quality presentations.The course is made of small-length videos 1-3 minutes per tool. It makes it convenient to navigate and study.Long processes are recorded in timelapses with narration.The 3D Coat sculpt and Blender scene are included in the Project Files.CHAPTERS:01 - Interface BasicsLearn to navigate the 3D Coat interface, customize the workspace, and use essential tools and shortcuts to work efficiently.02 - SculptingExplore voxel and surface sculpting techniques, working with brushes, stencils, and symmetry to create detailed models.03 - Manual RetopologyMaster manual retopology by creating clean edge loops and topology for an optimized model.04 - Creating UVsDiscover how to mark seams, unwrap models, and optimize UV layouts for clean and distortion-free texturing.05 - Baking and TexturingLearn to bake textures and apply PBR materials using smart materials and layers for realistic, detailed surfaces.06 - Blender Scene Set UpSet up a scene in Blender, import models from 3D Coat, apply materials, and adjust lighting and camera for final rendering.07 - Auto-Retopology and TexturingAutomatically generate clean topology with 3D Coat's auto-retopology tools, apply textures, and create smooth camera animations in Blender for dynamic presentations.If you are interested in my background I have a whole channel dedicated to 3D Coat for over 7 years now. Who this course is for Beginners who want to learn the core principles of 3D sculpting, retopology, UV mapping, and rendering. Artists looking to expand their skills in manual and auto-retopology, and improve their texturing and baking techniques. Those seeking to create optimized 3D models, textures, and animations for use in games or animated scenes. Individuals interested in enhancing their workflow between 3D Coat and Blender for creating professional-quality presentations and renders. Those with a background in 2D art who want to explore 3D sculpting and modeling in an accessible way. Homepage https://www.udemy.com/course/intro-to-3d-coat-from-noob-to-cook/ Screenshot Rapidgator https://rg.to/file/1ff2a1387100fa335ac737ed1b53fbe5/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part05.rar.html https://rg.to/file/28268b7042fa6d4278c1422a63d523fe/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part06.rar.html https://rg.to/file/6cc81ffba6e1649fe8e2fa58fcd68270/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part04.rar.html https://rg.to/file/9e9df10d8fa866da404db83972cd9171/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part01.rar.html https://rg.to/file/c2133921c4d1a37e12445494c8358e16/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part09.rar.html https://rg.to/file/c700002c78782b4db250b1a695b88639/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part07.rar.html https://rg.to/file/cdcd34e108d0f82e635586be06b2b7d1/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part02.rar.html https://rg.to/file/cffb90c0e2d45435775832eded44037d/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part03.rar.html https://rg.to/file/dc3fbb98959025e24967cbb643d03985/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part08.rar.html Fikper Free Download https://fikper.com/0xk2TGKi6G/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part01.rar.html https://fikper.com/4lcnovnLZ4/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part02.rar.html https://fikper.com/B78HuOs2YL/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part03.rar.html https://fikper.com/G0vuPInqL9/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part09.rar.html https://fikper.com/HKn9a0QcxU/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part06.rar.html https://fikper.com/SGqg4UIOio/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part08.rar.html https://fikper.com/aXHmf45Xhy/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part04.rar.html https://fikper.com/oj5fZUXCcW/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part07.rar.html https://fikper.com/tdIAVqtV4N/avbqo.Intro.to.3D.Coat.From.Noob.to.Cook.part05.rar.html No Password - Links are Interchangeable

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 Intrapreneurship for Early Careers Making an Impact and Strategies for Success Released 10/2024 With Chloe Garland, CRFT Productions MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 46m 28s | Size: 195 MB This course introduces the concept of intrapreneurship specifically for young people, and people early in their careers, showcasing its significance in today's workplace. Course details In this course, learn about the key traits of intrapreneurs, how to develop an intrapreneurial mindset, and overcome common obstacles. The course covers essential habits, types of intrapreneurship, idea generation, and the groundwork needed to pitch ideas effectively. Instructor Chloe Garland also addresses common challenges and setbacks and offers strategies for nurturing intrapreneurship as a leader. Check out this course to gain practical tools to take control of your careers, make impactful contributions, and align your work with personal fulfillment. This course was created by Chloe Garland and CRFT Productions. We are pleased to host this training in our library. Homepage https://www.linkedin.com/learning/intrapreneurship-for-early-careers-making-an-impact-and-strategies-for-success Screenshot Rapidgator https://rg.to/file/e3b309c6dce3ae672c3f126da4436df9/bjstw.Intrapreneurship.for.Early.Careers.Making.an.Impact.and.Strategies.for.Success.rar.html Fikper Free Download https://fikper.com/NqI644zjW0/bjstw.Intrapreneurship.for.Early.Careers.Making.an.Impact.and.Strategies.for.Success.rar.html No Password - Links are Interchangeable

Free Download Interview Podcast Editing with Descript Underlord (A to Z) Published 10/2024 Created by Cristian Cotovan MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 25 Lectures ( 2h 38m ) | Size: 2.71 GB Complete workflow for multi-speaker multi-track audio and video podcast episodes editing in Descript Underlord What you'll learn: Assemble a Descript podcast project correctly, to make editing easier and faster Create multi-track sequences and edit with multiple speakers Clean up audio, remove noise, clean up text, filler words and long gaps Edit while marking up and selecting content for repurposing: social media clips, highlights Extract and create social media clips: with AI and manually Customise the design of social clips and save designs as templates for reuse Use Descript's AI tools for finishing up your project: summaries, descriptions, show notes and more Requirements: No experience needed other than opening Descript and logging in. You need to have a recording to work with (Zoom recording with separate audio tracks, Riverside or SquadCast recording) A paid subscription with Descript to access all features. Description: In this Descript Underlord course, I walk you through my complete workflow for editing podcasts with a focus for interview style, audio, and video, with multiple speakers.We go from loading the files into Descript and preparing your project, all the way to cleaning up your sound, cleaning up your text, editing the episode while marking up important fragments for social media clips, and editing with Descript's AI features to save time.Now, I don't like to edit twice. That's why in this course, I set out to give you my complete strategies and best practices for editing efficiently in Descript.I'll go through the right order of operations in detail so that at the end, you have everything:a finished audio and video podcast episode you can publish to your podcast platformsocial media clips already selected and ready to share on your social media platformchapters and highlights and show notes, ready for YouTube and for your podcast platform.This course covers every aspect of podcast production using Descript Underlord.And we start with an efficient project setup, so that really informs the way forward in your edit.And then we move through the advanced editing techniques, markup as you go, all the way to your final export.Learn the AI featuresYou will learn to use Descript's AI features to enhance your workflow and save time, and we will explore Studio Sound to clean up your audio. We will then go through a thorough filler word removal, in bulk and manual, removing long gaps, and creating your dynamic video layouts if you're editing video podcast.I'll show you how to use AI to generate chapters, to select social media clips automatically and manually, and also to write YouTube descriptions, show notes and more.Learn the WHAT and the WHYAnd while AI is nice and convenient, I will also show you the manual way to do everything because this will reduce your reliance only on AI. You will know why you're doing certain things, certain operations, not just point and click and hope for the best.Sometimes Descript offers several ways to achieve the same thing.Throughout the course, I share time-saving methods that will speed up your process and improve your content quality.I will mention keyboard shortcuts you can use, and tricks and approaches for digging deep into your files and making fine adjustments.I not only show you what to do, but I also explain why.Develop Your Muscle MemoryYou'll gain skills to create podcasts more efficiently, allowing you to focus more on content creation and less on the technical details.And before long, your muscle memory will kick in and all the Descript interface will become second nature.Why Learn with Me?I have coached hundreds of students in learning Descript over many years, and through several major redesigns of Descript, from Classic to Storyboard, and now to Underlord.This experience has informed the creation of this course. I will answer the most frequent questions the editors have and the beginners have when trying to learn Descript.I address common mistakes and anti[beeep]te the challenges you will have when using it.The course is designed for both beginners and experienced podcasters who are trying to break into Descript and maybe see if that's an option for them to edit.I am showing you the latest version of Descript called Underlord in this course.Join me in learning the right way to edit an interview podcast with Descript from A to Z.Every lesson has a discussion where you can ask questions and I'll be happy to answer those straight away. I will even create a new lesson to address your question, if that is necessary.I'm looking forward to welcoming you in this course. Who this course is for: Podcast editors and independent podcasters who want to edit interview-style episodes with separate speakers, and repurpose their content into social media clips. 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Free Download Internationally Accredited Certificate in Vegan Nutrition Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 43m | Size: 2.85 GB Embrace a Plant-Forward Diet What you'll learn Identify Plant-based sources of protein and how to satisfy your daily Protein requirements Identify the Key Nutrients Present in a Vegan Diet that are entirely missing in an Animal-Based Diet Understand the Environmental and Sustainability Aspects of a Plant-Based Diet Principles and Ethics of Veganism Discuss all Three Macronutrients and Prioritize the Top Healthiest Macros to Formulate a Nutrient-Dense Vegan Diet Requirements No Prior degree or experience required Description Now earn your Internationally Accredited Certificate in Nutrition in less than 4 weeks!This Speciality Certificate is Internationally Accredited by the following organizations:-The CPD Standards for 15 CPD Hours-IOATH (The International Association of Therapists). The IAOTH has approved all our courses. Once you graduate from this course, you can apply to become a member with them as a Therapist.In addition, Fabulous Body Inc. is proudly affiliated with the following:-AHHA (American Holistic Health Association). Being Holistic is one of the core values of Fabulous Body. We are proudly affiliated with AHHA as one of their honored members.-ANA (American Nutrition Association). Akash, the course creator and Founder of Fabulous Body Inc., is a professional member of the ANA as he strongly believes in their core principle, i.e., Nutrition is the core element of our health.Pass Mark: 70% to secure your Certificate!Course Pre-requisite: NoneModule 1: Introduction to Veganism In this initial module, we will delve into the principles and ethics underpinning veganism. While veganism might seem extreme in today's world, it encompasses varying motivations and levels of dedication. To address this diversity, we introduce the concept of a Plant-Forward Diet.A Plant-Forward Diet encourages the consumption of predominantly plant-based foods while allowing flexibility for occasional inclusion of animal products. It places a strong emphasis on plant foods like fruits, vegetables, whole grains, legumes, nuts, and seeds as the core of a healthful diet. This approach is gaining traction due to its health benefits, sustainability, and reduced environmental impact.We'll explore the 7 Core Aspects and 5 Levels of the Plant-Forward Diet.Module 2: Building a Balanced Vegan Plate: Macronutrients In this module, we will thoroughly examine macronutrients, particularly protein, addressing common concerns among vegans. We'll explore protein digestibility, bioavailability, and the intricate world of amino acid profiles in various food sources. This knowledge will empower you to make informed choices and craft nutrient-rich vegan diet plans.Module 3: Exceptional Health Benefits of a Vegan Diet Module 3 delves into the scientific foundations of the health advantages of plant-based eating. We'll focus on the vital role of fiber and probiotics in vegan nutrition, their impact on gut health, and their significance. Additionally, we'll explore antioxidants and free radicals, crucial for understanding how plant-based diets combat oxidative stress and aging.Module 4: Building a Balanced Vegan Plate: Micronutrients This module delves into antinutrients, such as phytic acid, tannins, oxalates, and lectins found in plant-based foods. We'll also examine essential nutrients of concern for vegans, including zinc, calcium, iron, and vitamin B12. By the end, you'll grasp antinutrients' effects on nutrient absorption and learn practical strategies for a well-rounded, nutrient-dense plant-based diet.Module 5: Implementing Plant-Forward Diets - Case Studies | Diet Plans | Recipes In Module 5, we provide real-world case studies of individuals like Vani, Rocky, Vincent, and Sally. Personalized plant-forward diet plans are developed to assist them in achieving their health and fitness objectives. Furthermore, you'll find numerous plant-forward diet plans and simple, nutritious recipes created by our team. Who this course is for Vegans- you will find tons of information about formulating the Healthiest Version of a Vegan diet that fully satisfies all the nutrients your bodies need. 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Free Download International political institutions + AI chatbot assistant Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 58m | Size: 2.58 GB Explore the foundations of law, legal systems, constitutional principles, and the role of courts in society What you'll learn Defines law as a system of rules, explores types like criminal and civil law, and discusses the vital role of legal systems in maintaining governance & society Explains the origins of law with early codes like Hammurabi, traces common law from England, and discusses how Roman law influences modern legal systems today Outlines constitutional law, explains judicial review's role in governance, and introduces key constitutional cases that have shaped modern U.S. legal systems. Discusses the origins of English common law, the role of judges and precedent, and how common law has shaped the legal systems of various countries around world Introduces Roman law's development, explores Napoleon's Code, and discusses how Roman legal principles continue to influence modern legal systems across world Explains federal vs. state courts, details U.S. federal court structure & provides an overview of how state courts function within the broader judicial system Describes how federal and state judges are appointed or elected, and explores the differences between judicial activism and restraint in shaping court rulings Outlines the structure and role of the U.S. Supreme Court, highlights significant cases in history, & explains the importance of legal precedent shaping future Explains civil rights protections in the Constitution, discusses the Brown v. Board ruling, & examines how modern civil rights cases continue to impact U.S. law Defines bureaucracy, explains Weber's characteristics for bureaucratic systems, and addresses criticisms like inefficiency within government bureaucracies Explores the U.S. federal bureaucracy, compares bureaucratic systems in different countries, and discusses the importance of bureaucracy in democratic systems w Explains how bureaucracies shape public policy through regulations, their advisory roles to officials, and the function of administrative courts in managing . Discusses the role of bureaucracy in communist regimes, post-communist legal reforms, and explores the failures and lessons learned from the collapse of Soviet Explains courts' role in interpreting laws, the significance of judicial independence in democracies, and key rulings that have had lasting impacts on society Explains due process rights for criminal defendants, the exclusionary rule in criminal justice, and explores how courts have shaped significant criminal justice Discusses how checks and balances limit judicial power, the influence of public opinion on courts, and how Congress can override or limit the impact of court Explores international courts like the ICJ and ICC, their role in protecting human rights, and the challenges faced in enforcing international law Discusses how the Supreme Court influences U.S. politics, examines landmark civil rights cases, and explores controversial rulings that sparked political debate Explains the process for amending the U.S. Constitution, how amendments impact court rulings & highlights key amendments that have significantly changed US law Explores how judges' personal backgrounds, political affiliations, and judicial philosophies, such as activism vs. restraint, influence their rulings Discusses the origins of judicial review in Marbury v. Madison, its impact on U.S. law and governance and highlights important cases where judicial review apply Explores future legal challenges such as technology and globalization, discusses the adaptability of legal systems, and examines courts' evolving role Requirements No prior legal or judicial knowledge is required. This course is designed for beginners, and you'll learn everything you need to know about legal systems from the ground up. Description This course provides a comprehensive overview of legal systems, essential legal principles, and the role of courts in society. Designed for beginners and those seeking to deepen their understanding of law, the course explores the fundamental concepts of law, including its definition, types, and the critical functions of legal systems. You will learn about the various categories of law, such as criminal, civil, constitutional, and administrative law, and how they interact within society.We will delve into the historical foundations of law, examining ancient legal codes like the Code of Hammurabi and the evolution of common law in England. The course will also cover the significance of constitutional law and the power of judicial review, highlighting landmark cases that have shaped legal precedents and civil rights.Through in-depth discussions, learners will gain insights into the structure and roles of different courts, including the U.S. Supreme Court, and the impact of judges on legal interpretations. Additionally, we will explore the relationship between law and bureaucracy, the challenges faced in communist legal systems, and the judiciary's influence on societal change.By the end of this course, you will have a solid understanding of legal principles, the importance of law in governance, and the vital role of courts in upholding justice and democracy in society. Join us to embark on a journey through the fascinating world of law! Who this course is for This course is for anyone interested in understanding legal systems, including law students, aspiring legal professionals, or individuals curious about how laws shape society. No prior legal background is needed. 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Free Download Interior Lighting & Walkthrough in 3ds Max & V-Ray Published 10/2024 Created by Sushil Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 21 Lectures ( 3h 4m ) | Size: 2.5 GB Create Photorealistic Visuals & Walkthrough with 3ds Max, V-Ray and Chaos Vantage What you'll learn: Photorealistic Renders Using 3ds Max & V-Ray Modelling in 3ds Max Realistic Materials in 3ds Max & V-Ray Lighting & Rendering Using V-Ray Post Production Using Photoshop Walkthrough in Chaos Vantage Requirements: Basics Knowlege of 3ds Max & V-Ray Description: Hello, My Name, is Sushil, in this Course I will teach you how to create realistic 3d rendering & Walkthrough using 3ds Max and V-Ray.This course is perfect for beginners and those looking to enhance their skills in 3D rendering. It covers the entire process of designing interior spaces from scratch, including camera positioning, lighting, and adding realistic materials and rendering. with your new skills. From the basics of 3ds Max and V-Ray to advanced techniques for creating photorealistic renders. You'll learn to build complete 3D scenes, create a material library, and use post-production techniques to polish your renders. The course also includes tips for advancing your career as a 3D artist.RequirementsYou will need 3ds Max and the V-Ray rendering software & Chaos Vantage & After Effects for Walkthrough.You can use the 30-day free trials of both 3ds Max and V-Ray to get started.You Don't need any experience to take this course, but any prior knowledge of working in 3ds Max & V-RayInstalling Essential Scripts & PluginsModelling In 3ds Max Like Bed Back Panel, TV Units etc.Creating MaterialsLights, Camera & Postproduction in PhotoshopHigh Render settings for V-RayWalkthrough in Chaos Vantage and Postproduction In After Effects.Who this course is for:Architecture students, architects, designers or people within the real estate industry who wish to learn how to create realistic stunning visualizations for clients. Who this course is for: Create Photorealistic Visuals & Walkthrough with 3ds Max, V-Ray and Chaos Vantage Homepage https://www.udemy.com/course/interior-lighting-walkthrough-in-3ds-max-v-ray/ Rapidgator https://rg.to/file/086af63a307de88f932a373fa58baac9/kxyfy.Interior.Lighting..Walkthrough.in.3ds.Max..VRay.part3.rar.html https://rg.to/file/44cff7a1e5e05ee431d9b429ab6a52de/kxyfy.Interior.Lighting..Walkthrough.in.3ds.Max..VRay.part2.rar.html https://rg.to/file/d5d142473ec068190d215d63f39a1042/kxyfy.Interior.Lighting..Walkthrough.in.3ds.Max..VRay.part1.rar.html Fikper Free Download https://fikper.com/1YPjsEKSIa/kxyfy.Interior.Lighting..Walkthrough.in.3ds.Max..VRay.part2.rar.html https://fikper.com/DzrSXXZJXa/kxyfy.Interior.Lighting..Walkthrough.in.3ds.Max..VRay.part3.rar.html https://fikper.com/jwcPoCs3I6/kxyfy.Interior.Lighting..Walkthrough.in.3ds.Max..VRay.part1.rar.html No Password - Links are Interchangeable

Free Download Interdisciplinary Research Of Humanities And Social Sciences Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 649.38 MB | Duration: 1h 25m Academic research and writing What you'll learn Understand and master the thinking of cross-disciplinary innovative research in the humanities and social sciences. Combine own experience, research direction, and research needs to provide new research perspectives for cross-disciplinary research Carry out specific research topics by combining humanities theory with social science practice. Combine the current practice of humanities and social sciences, learn to critically analyze existing humanities and social science theories Requirements Students need to have a basic understanding of the macro-research content, research methods, research objectives, micro-concepts, theories, and practices of the humanities and social sciences. At the same time, students are willing to conduct in-depth and cross-disciplinary research in the humanities and social sciences. Description This course explores interdisciplinary research between the humanities and social sciences, focusing on innovative thinking and critical analysis. It aims to help students understand the differences and connections between these two fields, guiding them to develop new research perspectives by integrating theory with practice. The course encourages students to critically analyze existing theories and form personalized research integration skills.Course Requirements: Students should have a foundational understanding of macro and micro aspects of both humanities and social sciences, including research content, methods, and objectives. They should also be motivated to explore interdisciplinary innovation between these fields.Target Audience:Undergraduate students beginning their studies in the humanities and social sciences, aiming to inspire interest and confidence.Graduate students transitioning from study to research, providing innovative perspectives for interdisciplinary research.Course Structure:Differences and Similarities between Humanities and Social Sciences:Humanities focus on theoretical research, gathering, and applying knowledge from specialized fields.Social sciences prioritize practical analysis and using theory to guide real-world practices and solutions.Political Studies in Social Sciences:Examines the key points, methods, and goals of political science research.Explores the theoretical needs of political philosophy and its connection to political science and real-world political practice.Historical Research in Humanities:Investigates interdisciplinary approaches in history that integrate philosophy, politics, culture, and economics.Focuses on deep analysis of specific historical stages or events, moving from surface-level understanding to broader historical principles.Comparative Research in Humanities and Social Sciences:Spanning time periods (ancient, modern, contemporary).Cross-geographical, national comparative studies.Comparative analysis of theories within the same framework or across different disciplinary perspectives. Overview Section 1: Similarities and Differences in Research between Humanities and Social Sciences Lecture 1 Lesson Plan: Humanities vs Social Science Lecture 2 Lesson Outline Lecture 3 Specializations and Courses Lecture 4 Humanities vs. Social Science in Career and Research Lecture 5 Practical Exercise: Case Study Discussion Lecture 6 Digital Age and Interdisciplinary Connections Lecture 7 Theoretical Reflections and Wrap-up Lecture 8 Reference Lecture 9 Teaching Section 2: Cross-cutting research in the humanities led by social science disciplines Lecture 10 Overview of Interdisciplinary Innovation in Humanities and Social Sciences Lecture 11 Integration of Humanities and Social Sciences with a Focus on Political Studies Lecture 12 Case Study: Advancing Electoral Democratization in China through Procedural Just Lecture 13 Cross-Disciplinary Research Methodology Lecture 14 Reference Lecture 15 Research example Section 3: Innovative research in the humanities leading social science disciplines Lecture 16 Integrating Philosophical and Political Perspectives Lecture 17 Foundations of Humanities and Social Sciences Lecture 18 Research Methodologies for Multi-Dimensional Studies Lecture 19 The New Culture Movement: Philosophy Meets Political Science Lecture 20 Reference Lecture 21 Research example Section 4: Interdisciplinary Comparative Research in Humanities and Social Sciences Lecture 22 Course Description and Learning Objectives Lecture 23 Course Structure Lecture 24 Research and Readings Lecture 25 Conclusion Lecture 26 Academic research and writing It is mainly aimed at undergraduates who have just started to study in the humanities and social sciences, especially helping humanities students to build up their interest, confidence, and direction in subject learning. 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Free Download Interact With Customers Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.49 GB | Duration: 1h 23m Master the Skills to Create Unforgettable Customer Experiences and Build Lasting Loyalty What you'll learn How to consistently deliver excellent customer service that drives business success The five common reasons customer service fails and how to prevent these mistakes in your own interactions Proven techniques for making a powerful and lasting first impression with customers The essential components of a professional appearance and how to present yourself confidently in customer-facing roles Effective strategies for greeting customers in a way that sets the tone for a positive experience How to handle customer complaints constructively, turning challenges into opportunities for loyalty Key attitudes and actions that make customers feel valued and appreciated, ensuring they return How to manage difficult face-to-face customer interactions with professionalism and poise Techniques for handling customer complaints over the phone, ensuring clear and empathetic communication How to build and maintain strong customer relationships, converting satisfied customers into loyal advocates The importance of housekeeping standards in maintaining a professional, safe, and productive environment for customers Requirements No prior knowledge is required. Description Customer service training is a vital part of any business and can ultimately be what either makes the business a success or marks it as a failure. Frustrated or unhappy consumers can have a negative impact on your business operations.Regardless of the nature of your company's business, it is important to adopt the right strategies to better the quality of customer service. FUEL's Interact with Customers 12 training modules provide the skills to ensure customer satisfaction with a product or service before, during and after the customer's requirements are met.The topics covered in this course encompass the below modules, and will give you a solid introduction to some of the most often overlooked, and misunderstood sections of customer service training.MODULE 1: Good Customer ServiceMODULE 2: Customer Service PoliciesMODULE 3: Customer LoyaltyMODULE 4: First ImpressionMODULE 5: Personal AppearanceMODULE 6: Greeting CustomersMODULE 7: Housekeeping StandardsMODULE 8: Customer ComplaintsMODULE 9: Dealing with Customers: Attitudes and ActionsMODULE 10: Dealing with Customers: Face-to-FaceMODULE 11: Dealing with Customers: On the PhoneMODULE 12: Customer RelationsQuizzes after each module recap the central concepts explained in each of the lectures and assists in retaining the central message Overview Section 1: Good Customer Service Lecture 1 Good Customer Service Section 2: Customer Service Policies Lecture 2 Customer Service Policies Section 3: Customer Loyalty Lecture 3 Customer Loyalty Section 4: First Impression Lecture 4 First Impression Section 5: Personal Appearance Lecture 5 Personal Appearance Section 6: Greeting Customers Lecture 6 Greeting Customers Section 7: Housekeeping Standards Lecture 7 Housekeeping Standards Section 8: Customer Complaints Lecture 8 Customer Complaints Section 9: Dealing with Customers: Attitudes and Actions Lecture 9 Dealing with Customers: Attitudes and Actions Section 10: Dealing with Customers: Face-to-Face Lecture 10 Dealing with Customers: Face-to-Face Section 11: Dealing with Customers: On the Phone Lecture 11 Dealing with Customers: On the Phone Section 12: Customer Relationships Lecture 12 Customer Relations Retail Staff,Hospitality Industry Workers,Service Industry Professionals,Healthcare Providers,Financial Services Personnel,Automotive Industry Staff,Small Business Owners Homepage https://www.udemy.com/course/interact-with-customers/ Rapidgator https://rg.to/file/854be18613dc0774db7364d8eb91d0e0/qefwv.Interact.With.Customers.part2.rar.html https://rg.to/file/e8a1df3ae97ad37e29ad8604881b7ebe/qefwv.Interact.With.Customers.part1.rar.html Fikper Free Download https://fikper.com/U7cBJ4GvLY/qefwv.Interact.With.Customers.part1.rar.html https://fikper.com/q5qNvMPQeA/qefwv.Interact.With.Customers.part2.rar.html No Password - Links are Interchangeable

Free Download Intensive English Mastery Course - Animated Beginner's Course Last updated 3/2023 Created by Logus Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 63 Lectures ( 76h 59m ) | Size: 43 GB Intensive English course. 77 Hours of English language speaking, English listening practice. Animated Cartoons What you'll learn You will learn over 1000 vital English words, expressions and idioms, and how to use them in real life. You will learn the most important English grammar with tons of English-speaking practice. You will learn to think in English and to speak English fluently. (in Intermediate level) You will learn to read in English and to spell English words intuitively You will learn to understand movies and TV shows in English. After the course, you can travel the world freely, without a language barrier After the course, you can start preparing for English language tests like TOEFL, IELTS, GMAT etc. Requirements A computer, or a tablet, or a phone with good speakers or headphones. (So you can hear the pronunciation very clearly). Absolutely no previous knowledge of English is necessary. 4 hours a week to speak English when you won't be disturbed. Very positive attitude :) Description Introducing the LOGUS Intensive English Mastery Course-your ultimate gateway to mastering the English language!This dynamic and engaging online English course is designed for complete beginners who want to rapidly elevate their English language skills to the intermediate level of spoken English, in the shortest time possible.Why LOGUS Stands Out as the Best English Course:- Comprehensive English Learning: Unlike other basic courses, LOGUS is a full, beginner-to-intermediate English language program that focuses on practical, real-world English skills. You'll be prepared to use English confidently in your everyday life.- Fun and Interactive: LOGUS is a 100% animated, interactive spoken English course, making learning not just effective, but fun and exciting!- Intensive Practice: With over 77 hours of spoken English language practice, each lesson lasts about 1.5 hours. You'll speak English constantly, using more than 2,000 words per lesson.- Focus on Fluency: LOGUS is obsessed with your fluency. It doesn't just teach you isolated words or phrases-it's designed to ensure you can speak English confidently and naturally. Fluency is our top priority!- Simple Grammar: English grammar is broken down in an intuitive, easy-to-understand way, with loads of examples and hours of speaking and listening practice.- Multilingual Support: All English vocabulary and grammar explanations are translated into English, Spanish, Brazilian Portuguese, and Hindi, ensuring you fully grasp each concept.Whether you're starting from zero or aiming to improve your fluency fast, the LOGUS Intensive English Mastery Course is the ultimate tool to supercharge your English language journey! Who this course is for It is a must-have English course for complete beginners, who want to reach the intermediate level of spoken English in the shortest time possible. 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