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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/

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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.
Homepage

https://www.udemy.com/course/international-political-institutions-ai-chatbot-assistant/

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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.
People who are thinking about going Vegan
Carnivores who want to Understand the Benefits of a Plant-Based Diet
Homepage

https://www.udemy.com/course/internationally-accredited-certificate-in-vegan-nutrition/

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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 anticipate 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.
Creators who wish to repurpose their podcast episodes for social media with Descript
Homepage

https://www.udemy.com/course/interview-podcast-editing-with-descript-underlord-a-to-z/

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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

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Free Download Intro To Ai A Beginner'S Guide To Artificial Intelligence
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.33 GB | Duration: 2h 27m
Understand How AI Works and How to Leverage This Technology to Transform Your Business and Career

What you'll learn
Understand key Artificial Intelligence concepts and build a solid foundation
Skyrocket productivity using AI
Understand Generative AI and the underlying technology
Grasp the importance of AI ethics
Acquire an understanding of key AI tools
Become acquainted with the top job prospects in the AI field
Requirements
No prior experience is required. We will start from the very basics
Description
Are you interested in exploring the exciting world of AI and mastering the fundamentals to unlock its full potential?If that's the case, you've come to the right place!This Intro to AI course begins with the fundamentals-exploring the core components behind today's cutting-edge AI algorithms. Through this comprehensive journey, you'll establish a strong foundation and gain deep insights into AI's workings and applications in product development. You'll learn about various AI models and understand how businesses can leverage them effectively.Moreover, the course offers practical knowledge of AI development and integration into web applications and business products. Discover job opportunities in the rapidly growing AI field and comprehensively understand the essential tools needed for a lucrative career in this high-demand sector. This ideal AI introductory course suits those passionate about the field and eager to explore its potential. It offers valuable insights for business stakeholders and a strong foundation for anyone aiming to start a career in AI.Few industries will escape disruption from artificial intelligence and its significant technological innovations. Embrace AI to gain a competitive edge and lead your industry with its transformative power.Our Intro to AI course provides foundational AI knowledge and practical insights to seamlessly integrate AI into your workflow. Join the select group that grasps AI's career and business opportunities and leverages its transformative power.What sets this AI course apart from other online offerings?1. Production QualityOur dedicated team has invested thousands of hours in crafting an exceptional learning experience. We focus full-time on simplifying complex topics and designing an engaging Intro to AI course you'll enjoy.2. Instructor ExcellenceNed Krastev (CEO of 365 Data Science) has educated over 3 million students worldwide. His courses rank among the most popular online, and he has delivered training for Fortune 100 companies.3. Engaging AnimationsOur courses utilize storytelling and high-quality animations to help internalize AI concepts-far surpassing simple PowerPoint presentations. We are so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days! It's a complete no-brainer, sign up today with ZERO risk and EVERYTHING to gain.What are you waiting for? Click the 'Buy Now' button and embrace the AI-driven future of tomorrow.
Overview
Section 1: Getting started
Lecture 1 Natural vs Artificial Intelligence
Lecture 2 Brief history of AI
Lecture 3 Demystifying AI, Data science, Machine learning, and Deep learning
Lecture 4 Weak vs Strong AI
Section 2: Data is essential for building AI
Lecture 5 Structured vs unstructured data
Lecture 6 How we collect data
Lecture 7 Labelled and unlabelled data
Lecture 8 Metadata: Data that describes data
Section 3: Key AI technique
Lecture 9 Machine learning
Lecture 10 Supervised, Unsupervised, and Reinforcement learning
Lecture 11 Deep learning
Section 4: Important AI branches
Lecture 12 Robotics
Lecture 13 Computer vision
Lecture 14 Traditional ML
Lecture 15 Generative AI
Section 5: Understanding Generative AI
Lecture 16 The rise of Gen AI: Introducing ChatGPT
Lecture 17 Early approaches to Natural Language Processing (NLP)
Lecture 18 Recent NLP advancements
Lecture 19 From Language Models to Large Language Models (LLMs)
Lecture 20 The efficiency of LLM training. Supervised vs Semi-supervised learning
Lecture 21 From N-Grams to RNNs to Transformers: The Evolution of NLP
Lecture 22 Phases in building LLMs
Lecture 23 Prompt engineering vs Fine-tuning vs RAG: Techniques for AI optimization
Lecture 24 The importance of foundation models
Lecture 25 Buy vs Make: foundation models vs private models
Section 6: Practical challenges in Generative AI
Lecture 26 Inconsistency and hallucination
Lecture 27 Budgeting and API costs
Lecture 28 Latency
Lecture 29 Running out of data
Section 7: The AI tech stack
Lecture 30 Python programming
Lecture 31 Working with APIs
Lecture 32 Vector databases
Lecture 33 The importance of open source
Lecture 34 Hugging Face
Lecture 35 Hugging Face
Lecture 36 AI evaluation tools
Section 8: AI job positions
Lecture 37 AI strategist
Lecture 38 AI developer
Lecture 39 AI engineer
Section 9: Looking ahead
Lecture 40 AI ethics
Lecture 41 Future of AI
This course is for you if you want a great career,The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
Screenshot
Homepage

https://www.udemy.com/course/intro-to-ai-a-beginners-guide-to-artificial-intelligence/

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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/

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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 anticipate, identify, and mitigate the risk of ethical lapses in your day-to-day work.COURSE OUTLINEata 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/

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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/

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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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Homepage

https://www.udemy.com/course/introduction-to-ai-and-enhancing-productivity-at-work/

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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.
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Homepage

https://www.udemy.com/course/introduction-to-anti-money-laundering-aml/

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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 anticipate 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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Homepage

https://www.udemy.com/course/introduction-to-business-analytics-yl/

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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
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Homepage

https://www.udemy.com/course/introduction-to-gouache-landscape-painting/

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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/

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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
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Homepage

https://www.udemy.com/course/introduction-to-ml/

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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, SRAM, 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/

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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/

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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/

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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/

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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/

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