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pdf | 7.46 MB | English| Isbn:0197773540 | Author: Jerry Kaplan | Year: 2024 Description: Category:Computer Technology, Sociology, Technology, Nonfiction AusFile RapidGator https://rapidgator.net/file/53a7f883479706c3dfa91600fecf4a0a/yxusj.Generative.Artificial.Intelligence.-.What.Everyone.Needs.to.Know.rar UploadY https://uploady.io/afv05ouxhfgm/yxusj.Generative.Artificial.Intelligence.-.What.Everyone.Needs.to.Know.rar https://ausfile.com/0zel0v08lpgc/yxusj.Generative.Artificial.Intelligence.-.What.Everyone.Needs.to.Know.rar

Free Download Udemy - Artificial Intelligence for Absolute Beginners Published: 4/2025 Created by: Michael Miller MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 3h 41m ) | Size: 4 GB Learn how AI works and how to use it in your daily life. Includes coverage of ChatGPT, DeepSeek, Midjourney, and more! What you'll learn What artificial intelligence is and how it works How to use ChatGPT, DeepSeek, Google Gemini, and other popular AI tools How to create images with Midjourney, DALL-E, and other popular AI image generators The history of AI -- in both fiction and the real world The technology behind generative AI Potential risks and rewards of AI How to create the perfect AI prompt How to use AI in your daily life How to determine if text and images are AI-generated How to use AI safely and ethically Requirements No technical experience necessary Description You've heard a lot about artificial intelligence, or AI, but how much do you really know? AI is going to change your world, and the more you know about it, the more you can benefit from it.Artificial Intelligence for Absolute Beginners walks you step by step through the new and evolving world of artificial intelligence and shows you how you can use AI in your daily life. You'll learn how AI works and the technology behind it, as well as the technology's potential risks and rewards. You'll even learn how to use today's most popular AI tools, including:ChatGPTClaude AIDeepSeekAdobe FireflyMeta AIMicrosoft CopilotMidjourneyThis fast-paced and informative course will show you how to use AI to:Answer questionsSolve problemsWrite letters and emailsWrite articles and blog postsGenerate detailed reportsCreate and respond to social media postsGenerate photorealistic artCreate fantastic images that don't exist in realityMake your daily life easier and more efficientOver the 24 lessons in this course you will learn:What artificial intelligence is and how it worksHow to use ChatGPT, DeepSeek, Google Gemini, and other popular AI toolsHow to create images with Midjourney, DALL-E, and other popular AI image generatorsThe history of AI-in both fiction and the real worldThe technology behind generative AIPotential risks and rewards of AIHow to create the perfect AI promptHow to use AI in your daily lifeHow to determine if text and images are AI-generatedHow to use AI safely and ethicallyArtificial intelligence can be fun and productive if you know which tools to use and how to use them. That's What you'll learn in this course from noted author Michael Miller-in 24 fun, easy-to-understand lessons! Who this course is for Anyone interested in how AI works and how they can use it in their daily lives Homepage: https://www.udemy.com/course/artificial-intelligence-for-absolute-beginners/ [b]AusFile[/b] https://ausfile.com/9o7dj680943s/txghq.Artificial.Intelligence.for.Absolute.Beginners.part1.rar.html https://ausfile.com/6pb91g808b69/txghq.Artificial.Intelligence.for.Absolute.Beginners.part2.rar.html https://ausfile.com/uytd7opfu3ip/txghq.Artificial.Intelligence.for.Absolute.Beginners.part3.rar.html https://ausfile.com/6089idgcptao/txghq.Artificial.Intelligence.for.Absolute.Beginners.part4.rar.html https://ausfile.com/9v4qwhtbk5in/txghq.Artificial.Intelligence.for.Absolute.Beginners.part5.rar.html Rapidgator https://rg.to/file/5f7ebb1413166098c780c2b67aa1d6e2/txghq.Artificial.Intelligence.for.Absolute.Beginners.part1.rar.html https://rg.to/file/f987f63cc8b48622da6ed9b43ac8acf2/txghq.Artificial.Intelligence.for.Absolute.Beginners.part2.rar.html https://rg.to/file/27486bd45b87c682015232f10d0d4c57/txghq.Artificial.Intelligence.for.Absolute.Beginners.part3.rar.html https://rg.to/file/b7cf20fba5aa1bd292de6efb947dbd8c/txghq.Artificial.Intelligence.for.Absolute.Beginners.part4.rar.html https://rg.to/file/7a12816d77027e43e2f93d53bc3cea18/txghq.Artificial.Intelligence.for.Absolute.Beginners.part5.rar.html Fikper Free Download https://fikper.com/luUEbpKE8I/txghq.Artificial.Intelligence.for.Absolute.Beginners.part1.rar.html https://fikper.com/O51ObsulRZ/txghq.Artificial.Intelligence.for.Absolute.Beginners.part2.rar.html https://fikper.com/hYcsqIsi4b/txghq.Artificial.Intelligence.for.Absolute.Beginners.part3.rar.html https://fikper.com/SRGd1pKJV3/txghq.Artificial.Intelligence.for.Absolute.Beginners.part4.rar.html https://fikper.com/yfPkqGyAPU/txghq.Artificial.Intelligence.for.Absolute.Beginners.part5.rar.html No Password - Links are Interchangeable

Free Download Linkedin - Learning XAI Explainable Artificial Intelligence (2025) Released 04/2025 With Jazmia Henry MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 39m 38s | Size: 507 MB This course explores how to identify, evaluate, and mitigate bias in large language models through data curation, mathematical analysis, and model constraints. Course details This course focuses on the data-based and mathematical factors contributing to bias in generative AI. Join instructor Jazmia Henry as she explores how data curation, analytical techniques, and post-training constraints can mitigate harmful biases embedded in these models. Through real-world examples and case studies, the course aims to help you understand and apply strategies for creating fairer, more transparent AI systems. Homepage: https://www.linkedin.com/learning/learning-xai-explainable-artificial-intelligence-25369961 [b]AusFile[/b] https://ausfile.com/9r21qz8zvgez/yopku.Linkedin..Learning.XAI.Explainable.Artificial.Intelligence.2025.rar.html Fileaxa https://fileaxa.com/3hz4t2ala6uf/yopku.Linkedin..Learning.XAI.Explainable.Artificial.Intelligence.2025.rar TakeFile https://takefile.link/ywlo9mnm1gta/yopku.Linkedin..Learning.XAI.Explainable.Artificial.Intelligence.2025.rar.html Rapidgator http://peeplink.in/001382a4a894 Fikper Free Download https://fikper.com/SQgs54mXst/yopku.Linkedin..Learning.XAI.Explainable.Artificial.Intelligence.2025.rar.html No Password - Links are Interchangeable

Free Download Udemy - Simple Artificial Intelligence (AI) Published 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 5m | Size: 490 MB Generative AI Governance What you'll learn Gain a technical and strategic understanding of Generative AI's capabilities and constraints. Develop the ability to identify and mitigate risks associated with AI deployment. Learn to align AI initiatives with legal and ethical standards across jurisdictions. Acquire practical tools to implement governance frameworks within organizations. Prepare for future regulatory developments and industry shifts in AI policy. Requirements To ensure parti[beeep]nts can fully benefit from this course, the following foundational knowledge is recommended (though not strictly mandatory, as key concepts will be introduced) General Understanding of AI & Machine Learning Basic familiarity with artificial intelligence (AI) and machine learning (ML) concepts. Awareness of common AI applications (e.g., chatbots, recommendation systems). Helpful but not required: Experience with Python or data science. Awareness of Generative AI (Optional but Beneficial) Exposure to Generative AI tools (e.g., ChatGPT, DALL·E, Midjourney). Basic understanding of how large language models (LLMs) work. Professional or Academic Background in Related Fields Technical roles: Some experience in software, data, or AI development is useful but not mandatory. Non-technical roles: Background in law, policy, ethics, business strategy, or governance helps contextualize AI challenges. Interest in Ethics, Compliance, or Policy (For Governance Modules) No prior expertise needed, but a curiosity about AI ethics, regulations, or risk management will enhance learning. No Advanced Math or Coding Required The course focuses on concepts, governance, and strategy-not technical implementation. No programming or deep mathematical knowledge is expected. Description Generative AI and Responsible AI GovernanceCourse Overview:The rapid advancement of Generative AI is reshaping industries, economies, and societies, presenting unprecedented opportunities alongside complex ethical, legal, and governance challenges. This in-depth course provides a structured exploration of Generative AI technologies, their applications, inherent risks, and the frameworks necessary to ensure their responsible development and deployment. Designed for professionals across multiple disciplines, this course bridges the gap between technical understanding and governance strategy, empowering parti[beeep]nts to navigate the evolving AI landscape with confidence and foresight.Target Audience:This course is designed for professionals who need to understand, implement, or regulate Generative AI responsibly, including:Technology Leaders & Innovators (CTOs, CIOs, Product Managers, Innovation Leads)AI Developers, Data Scientists, and Machine Learning EngineersLegal, Compliance, and Risk Management ProfessionalsPolicy Makers, Regulators, and Government OfficialsCorporate Governance, Ethics, and Responsible AI SpecialistsKey Learning Objectives:By the end of this course, parti[beeep]nts will be able to:Understand Generative AI Fundamentals - Explore how models such as GPT, DALL·E, GANs, and transformers function, their evolution, and their distinctions from traditional AI.Evaluate Applications and Industry Impact - Analyze real-world use cases across sectors, including content generation, healthcare, finance, and legal industries, while identifying opportunities and disruptions.Assess Risks and Ethical Challenges - Recognize critical concerns such as bias, misinformation, intellectual property issues, job displacement, and malicious misuse.Navigate AI Governance and Compliance - Examine global regulatory landscapes, including the EU AI Act, U.S. policies, China's regulatory approach, and industry self-regulation efforts.Implement Responsible AI Frameworks - Apply best practices for fairness, transparency, accountability, and human oversight using frameworks like NIST AI RMF and impact assessments.Develop Future-Ready Governance Strategies - Anti[beeep]te emerging trends, balance innovation with regulation, and foster international collaboration in AI governance.Course Structure:The course is divided into 10 comprehensive modules, each consisting of detailed presentations, case studies, and practical exercises:Introduction to Generative AI - Definitions, history, and significance.How Generative AI Works - Key technical concepts, model architectures, and limitations.Applications of Generative AI - Industry-specific implementations and disruptions.Risks and Challenges - Ethical dilemmas, security threats, and societal impacts.Introduction to AI Governance - Stakeholders, ethical frameworks, and governance models.Principles of Responsible AI - Fairness, explainability, privacy, and accountability.Regulations and Policies - Comparative analysis of global AI regulations.Case Studies - Real-world examples from leading AI systems (ChatGPT, DALL·E, Watson Health).Frameworks and Best Practices - Risk management, human-in-the-loop systems, and monitoring.Future of AI Governance - Long-term strategies for ethical foresight and leadership.Learning Outcomes:Gain a technical and strategic understanding of Generative AI's capabilities and constraints.Develop the ability to identify and mitigate risks associated with AI deployment.Learn to align AI initiatives with legal and ethical standards across jurisdictions.Acquire practical tools to implement governance frameworks within organizations.Prepare for future regulatory developments and industry shifts in AI policy. Who Should Enroll?This course is essential for professionals seeking to:Lead AI adoption while minimizing organizational and societal risks.Ensure compliance with evolving AI regulations.Design ethical AI systems with robust governance mechanisms.Stay ahead of technological and policy trends in Generative AI.Enroll Today to Master the Intersection of AI Innovation and Responsible Governance. 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Free Download Udemy - Leveraging Artificial Intelligence (AI) for Digital Success Published 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 21m | Size: 1.97 GB AI-Driven Insights: Unlocking the Next Level of Digital Success What you'll learn Learn to create high-performing content using AI insights and automation tools Master AI tools to streamline, schedule, and personalize social media and email campaigns Discover how to boost rankings and traffic using AI-powered SEO optimization tools Build smart chatbots and use AI to deliver real-time, personalized customer support Use predictive analytics to forecast trends and make data-driven marketing decisions Requirements Learners should have basic digital marketing knowledge, general computer skills, and an interest in using AI tools for content, SEO, automation, and customer engagement Description In this comprehensive course, you will explore the power of Artificial Intelligence (AI) in revolutionizing your digital marketing strategies. Learn how to harness AI-driven content marketing strategies to create highly personalized and engaging content that resonates with your audience. Understand how AI can automate social media and email campaigns, saving you time while ensuring your messaging is relevant and timely.Dive into the world of AI tools for Search Engine Optimization (SEO) and discover how these cutting-edge technologies can improve your website's visibility and search rankings, while also saving valuable hours spent on manual tasks. You'll also learn about the integration of chatbots and AI-based customer engagement systems, providing a more interactive and responsive experience for your customers and driving higher conversion rates.Finally, the course covers predictive analytics and the latest AI marketing trends, empowering you to stay ahead of the competition by anti[beeep]ting market changes and making data-driven decisions. By the end of this course, you'll have the skills to leverage AI in every aspect of your marketing efforts-optimizing processes, enhancing customer experiences, and increasing your brand's overall effectiveness in the digital world. Whether you're a seasoned marketer or new to AI, this course will provide the knowledge you need to implement AI in your marketing strategy for better results and efficiency. Who this course is for This course is designed for marketers, creators, entrepreneurs, and business professionals aiming to leverage AI tools to optimize campaigns, grow their audience, and increase impact Homepage https://www.udemy.com/course/leveraging-artificial-intelligence-ai-for-digital-success/ [b]AusFile[/b] https://ausfile.com/u46a0hnq9bkn/thuzk.Leveraging.Artificial.Intelligence.AI.for.Digital.Success.part1.rar.html https://ausfile.com/09wld2sooq6a/thuzk.Leveraging.Artificial.Intelligence.AI.for.Digital.Success.part2.rar.html https://ausfile.com/wtog5yjwkovg/thuzk.Leveraging.Artificial.Intelligence.AI.for.Digital.Success.part3.rar.html Rapidgator https://rg.to/file/b0b54397ab5e5dc014c8f503cbfef5b9/thuzk.Leveraging.Artificial.Intelligence.AI.for.Digital.Success.part1.rar.html https://rg.to/file/e4b5aa5eb37ee650abd55f1ceb950feb/thuzk.Leveraging.Artificial.Intelligence.AI.for.Digital.Success.part2.rar.html https://rg.to/file/cf92133f000a28fbd62c901d7b9f2dc1/thuzk.Leveraging.Artificial.Intelligence.AI.for.Digital.Success.part3.rar.html Fikper Free Download https://fikper.com/NYGvOlawnv/thuzk.Leveraging.Artificial.Intelligence.AI.for.Digital.Success.part1.rar.html https://fikper.com/ugJgeBswW8/thuzk.Leveraging.Artificial.Intelligence.AI.for.Digital.Success.part2.rar.html https://fikper.com/fNNw3XDA2z/thuzk.Leveraging.Artificial.Intelligence.AI.for.Digital.Success.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - Learn AI Skills For Everyone - Artificial Intelligence Published 4/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.09 GB | Duration: 4h 3m Master AI Skills For Beginners - Build AI Agents For Work, Generate Content & Music, and Create Stunning Visuals with AI What you'll learn Build and automate your first AI agent using Make with no coding required. Use tools like Bing, Ideogram, and Canva to generate high-quality images and visual content. Create, edit, and enhance videos and podcasts using Descript and other AI-powered tools. Develop an end-to-end social media automation system using AI prompt engineering and integrations. Requirements No technical background required-just basic computer skills and curiosity about AI tools. Description Course Description:Artificial Intelligence is transforming how we work, create, and connect online-and those who understand how to use it effectively will have a major edge. It's OK if you're not sure what AI really is and how and if it can actually help you, your work, your business, your art. This course is the starting point - no fluff or distractions - a complete, step-by-step guide to using modern AI tools to automate content creation, build intelligent agents, and enhance your creative output across social media, video, design, and music.Whether you're a content creator, artist, small business owner, or simply curious about how to make AI work for you, this course is designed to take you from beginner to confident AI user-with real-world skills and integrations you can start applying immediately and watch your productivity increase exponentially.What this course covers:The course begins by explaining the fundamentals of AI and AI agents in a way that is accessible to all learners, even those with no prior technical experience. You'll learn why AI is relevant now, what it can do, and how it's changing industries ranging from entertainment to marketing.From there, you'll begin building practical systems using tools like Make com, an automation platform that allows you to connect services and trigger intelligent workflows with little to no code. We'll guide you through setting up your Make com account, creating scenarios, using AI APIs like Perplexity .ai, and applying prompt engineering techniques to get powerful results from your agents.You will also get detailed walkthroughs of how to use specific AI tools to generate content:Bing Image Creator, Ideogram, and Canva for visual content and image generationDescript for AI-assisted video editing and podcast polishingDeepSeek and Ollama for natural language content and simple app developmentSuno, Soundraw, and other platforms for music generation and audio workflowsPictory .ai and InVideo for transforming long-form content into professional videosYou'll learn not only how to use each tool, but also how to think strategically about integrating them into your creative or business workflows. We include full sections on using AI for artists, musicians, and content creators, with actionable techniques that you can apply to your own work right away.We also dive into the critical topic of ethics-exploring copyright concerns, originality, and the human role in AI-assisted creation. You'll understand what's possible, what's responsible, and how to make informed decisions as you work with generative AI.What makes this course unique:Unlike many surface-level introductions to AI, this course takes a hands on-based approach, with each module showing you how to build or automate something concrete. From creating logos and social media content to editing video clips and building an AI-powered research assistant, you'll walk away with intro skills that serve real use cases.The course includes over 3.5 hours of video content, with detailed breakdowns, live walkthroughs, and supporting materials. It's designed to give you both the big-picture understanding and the hands-on skills you need to succeed in this space.Who this course is for:Content creators, artists, musicians, and marketers looking to integrate AI into their workBeginners who want a clear, non-technical introduction to AI agents and content automationEntrepreneurs and freelancers who want to save time and scale output through intelligent toolsIntermediate users ready to deepen their AI skills and build multi-tool integrationsEducators or tech enthusiasts looking to explore the latest developments in generative AIThis course will not only teach you how to use the latest AI tools, it will show you how to combine them effectively to build systems that work for you. If you're ready to stop watching from the sidelines and start creating with AI-this course is your complete guide.Enroll now to get started. Content creators, artists, musicians, and entrepreneurs looking to scale using AI and automation tools.,Social media managers and freelancers who want to create faster, smarter content workflows.,Beginners who want to learn AI without coding or technical jargon.,Creatives who want to enhance their visual, video, and music content using the latest AI platforms.,Small business owners and solopreneurs looking to automate repetitive content tasks and grow online. 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Free Download Udemy - Artificial Intelligence for Business Analyst & Project Teams Published 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 7h 48m | Size: 3.74 GB Gain foundational knowledge, practical AI skills and Tools with real world experience for AI Projects implementation What you'll learn This course is designed to equip parti[beeep]nts with the foundational knowledge about AI & Business Understand the concept of Generative AI and Applications for Business users. Understanding the workings of Text Data. Working with Google Bard Understanding the intersection of artificial intelligence (AI) and business analysis Gain practical skills necessary to leverage AI technologies in project implementation Real-World Applications: This courses include case studies and practical applications, allowing you to see how AI is implemented in real-world scenarios. Gain experience using generative AI tools and learn how to use these tools in transforming business processes and support change management processes This course will also educate parti[beeep]nts on AI project management, Business process Automation and how to use AI Tools to deliver projects. Understanding Gnerative AI & AI Capabilities for business transformation Learn project management methodologies for driving generative AI projects The course will equip you with essential skills, such as data analysis, business intelligence, and understanding AI technologies Learn this course to stay competitive in this fast paced world. Requirements No previous experience needed. Good course for all who desire to know how AI is changing the world of IT projects and Business Analysis Good for Beginners as well as experienced professionals accross all fields and levels NO technical AI experience needed Description In today's fast-paced and data-driven business environment, understanding the intersection of artificial intelligence (AI) and business analysis has become essential for professionals aiming to drive innovation and enhance decision-making processes.This course is designed to equip parti[beeep]nts with the foundational knowledge and practical skills necessary to leverage AI technologies and business analysis methodologies effectively and deliver quality AI Projects.Throughout this course, parti[beeep]nts will explore how AI can transform business operations, enhance customer experiences, and provide valuable insights through data analysis.This course will also educate parti[beeep]nts on AI project management, Business process Automation and how to use AI Tools to deliver projects.By combining theoretical concepts with real-world applications, parti[beeep]nts will gain a comprehensive understanding of how to implement AI strategies in their organizations.Taking an AI Business Analysis course can be highly beneficial for several reasons:1. Diverse Roles: AI Business Analysts can work in various industries and organizations, including consulting firms, IT companies, and end-user businesses. You could find yourself involved in process improvement, requirements gathering, system implementation, or data analysis.2. Excellent Job Prospects: The combination of technical expertise and business acumen required for AI Business Analysis makes it a highly sought-after skillset. This translates into excellent job prospects and competitive salaries.3. Understanding AI Capabilities: The course will provide insights into what AI can and cannot do, helping you understand the potential applications of AI in business settings.4. Data-Driven Decision Making: AI tools can analyse vast amounts of data quickly and accurately. A course will teach you how to leverage these tools for data-driven decision-making, improving business strategies and outcomes.5. Identifying Opportunities: You'll learn how to identify areas within your organization that can benefit from AI initiatives, helping to enhance efficiency, reduce costs, and improve customer experiences.6. Skill Development: The course will equip you with essential skills, such as data analysis, business intelligence, and understanding AI technologies, making you a valuable asset to your organization.7. Staying Competitive: As AI continues to transform industries, having knowledge in this area will help you and your organization remain competitive in the market.8. Real-World Applications: Many courses include case studies and practical applications, allowing you to see how AI is implemented in real-world scenarios and helping you apply what you learn in your organization.Learn what it takes to stand out in your career and align with change. 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Free Download Udemy - Artificial Intelligence (AI) for Change Managers Published: 4/2025 Created by: Toby Wragg MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 15 Lectures ( 1h 33m ) | Size: 1 GB Confident, Safe and Practical Ways to Use AI in Change Management What you'll learn Understand what generative AI is and how it supports, not replaces, human-led change work. Spot where AI can add value across the change lifecycle: Prepare, Design, Deliver, Sustain. Use AI to draft change deliverables like cange impact assessments, comms plans, and stakeholder maps. Tailor key messages for different audiences using AI-generated tone, format, and structure. Analyse feedback and readiness data using AI to spot sentiment, themes, and early risks. Turn AI insights into targeted actions and interventions to support change adoption. Apply AI safely and responsibly, aligned to your organisation's policies and context. Build confidence using AI as a creative thinking partner in everyday change work. Requirements You don't need any technical background or AI expertise to take this course. All you need is a basic understanding of change management practices. Curiosity, a willingness to experiment, and access to a generative AI tool (like ChatGPT) will help you get the most from the experience. Description How to use generative AI to accelerate real-world change workThe pace and complexity of change is increasing-and so are the demands on change managers. This course is designed to help you meet those demands by introducing a powerful new partner: artificial intelligence.AI for Change Managers is a practical, hands-on course that shows you how to safely and confidently integrate generative AI into your day-to-day change work. Whether you're curious about AI or already experimenting, this course will give you the tools, prompts, and mindset to work smarter-without losing the human heart of what you do.You'll learn how AI can help you with key change deliverables: drafting a stakeholder map, creating a Change Canvas, analysing feedback, building communications plans, writing a Case for Change, and more. Each module is focused, example-driven, and designed to reflect the real work change practitioners do every day.We'll walk through a fictional case study-HealthCo-to demonstrate how AI can support every phase of the change lifecycle:Prepare, Design, Deliver, and Sustain. You'll see how AI speeds up the admin, sharpens the thinking, and gives you a powerful head start-so you can spend more time coaching, influencing, and leading.Alongside practical demos, we'll cover the essentials of working safely with AI. You'll understand the risks, the guardrails, and how to stay compliant with your organisation's policies. No technical background is required-just curiosity, a willingness to experiment, and a change manager's mindset.By the end of the course, you'll have a clear view of what AI can and can't do, how to use it responsibly, and where it adds the most value. You'll walk away with copy-and-paste prompts, adaptable templates, and the confidence to bring AI into your practice in a way that's human-first, ethical, and effective.Whether you're leading large-scale transformation or supporting everyday business change, AI for Change Managers will help you unlock new energy, clarity, and speed in your work. Who this course is for This course is for change managers, practitioners, and transformation leads who want to explore how AI can support their work. It's ideal for those who are curious about AI but unsure where to start-and want practical, real-world applications. Whether you're leading a major programme or supporting day-to-day change, this course will help you work smarter with AI. Homepage: https://www.udemy.com/course/artificial-intelligence-ai-for-change-managers/ [b]AusFile[/b] https://ausfile.com/mkenoksyaqxn/womax.Artificial.Intelligence.AI.for.Change.Managers.part1.rar.html https://ausfile.com/n39iv2rr8zdp/womax.Artificial.Intelligence.AI.for.Change.Managers.part2.rar.html Rapidgator https://rg.to/file/53b59d6d3305aa8e4eca1ba4142bd2aa/womax.Artificial.Intelligence.AI.for.Change.Managers.part1.rar.html https://rg.to/file/f391bfbf1a21f71de9aeda0cee28d993/womax.Artificial.Intelligence.AI.for.Change.Managers.part2.rar.html Fikper Free Download https://fikper.com/R5zwBkewh3/womax.Artificial.Intelligence.AI.for.Change.Managers.part1.rar.html https://fikper.com/MP8PLq3RuC/womax.Artificial.Intelligence.AI.for.Change.Managers.part2.rar.html No Password - Links are Interchangeable

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Free Download The Artificial Intelligence in Human Resources Playbook Published: 3/2025 Created by: Jeffrey Giacoponello MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 60 Lectures ( 4h 10m ) | Size: 1.61 GB The AI in HR Playbook with Villanova University Professor of Human Resources, Jeffrey Giacoponello. What you'll learn Understand the Fundamentals of AI in HR Explore AI-Driven Recruitment and Talent Acquisition Leverage Predictive Analytics for Strategic HR Decisions Enhance Employee Wellness and Retention with AI Transform Performance Management Through AI Improve Employee Engagement Using Sentiment Analysis Develop a Future-Ready Workforce with AI-Powered Skill Assessment Navigate Ethical Considerations in AI Implementation Integrate AI into Existing HR Systems and Workflows Forecast the Future Impact of AI on HR Requirements Familiarity with HR Functions Comfort with Technology Interest in Innovation in HR Description AI has become a game-changer in HR by automating repetitive tasks, enhancing decision-making, and improving employee engagement. This course explores the profound impact of artificial intelligence (AI) on modern HR practices. It delves into how AI is transforming recruitment, employee engagement, performance management, and workforce development by automating processes, enhancing decision-making, and improving efficiency. Students will learn how AI-driven tools streamline hiring through automated resume screening, candidate sourcing, and predictive analytics, helping organizations make more data-driven talent decisions. The paper also discusses AI's role in employee wellness, using sentiment analysis and behavioral data to detect burnout risks, enhance retention strategies, and create personalized career development paths. AI-powered performance management tools ensure real-time feedback, unbiased evaluations, and continuous learning opportunities, enabling employees to grow while aligning with business goals. Additionally, the course highlights the importance of predictive analytics in workforce planning, allowing HR teams to anti[beeep]te turnover risks and optimize succession planning. Ethical considerations such as AI bias, data privacy, and transparency are also addressed, ensuring responsible AI implementation. By the end of the playbook, students will have a deep understanding of AI's potential to reshape HR, making it more strategic, personalized, and efficient, ultimately driving business success and employee satisfaction. Who this course is for HR Professionals and Practitioners HR Leaders and Decision-Makers Learning and Development Professionals Business Leaders Interested in Talent Strategies Technology and Data Professionals in HR Consultants and Advisors in HR Homepage: https://www.udemy.com/course/ai-playbook/ Rapidgator https://rg.to/file/2fddb57f2e597d5abcd1752580d0eaa7/nazxp.The.Artificial.Intelligence.in.Human.Resources.Playbook.part1.rar.html https://rg.to/file/fcadb9fbc6cc52d9c0c880e06931decd/nazxp.The.Artificial.Intelligence.in.Human.Resources.Playbook.part2.rar.html Fikper Free Download https://fikper.com/MXFY65e9bG/nazxp.The.Artificial.Intelligence.in.Human.Resources.Playbook.part1.rar.html https://fikper.com/wWHafNXLZc/nazxp.The.Artificial.Intelligence.in.Human.Resources.Playbook.part2.rar.html No Password - Links are Interchangeable

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Free Download Udemy - Artificial Intelligence Governance Professional (AIGP) Published: 3/2025 Created by: Pavan Kumar,Avnish Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 78 Lectures ( 3h 48m ) | Size: 2.46 GB Master AI Governance, Ethics & Compliance | AIGP Certification | AI Risk Management & Responsible AI Practices What you'll learn Policy Makers - Develop AI governance frameworks that align with legal and ethical standards. Compliance Officers - Ensure AI systems comply with global regulatory Requirements and industry best practices. Business Executives - Understand the risks and opportunities of AI governance in corporate decision-making. Data Scientists - Implement AI models that adhere to fairness, transparency, and accountability principles. Legal Professionals - Analyze AI-related laws, regulations, and liability concerns in various jurisdictions. Cybersecurity Experts - Mitigate risks related to AI security, data privacy, and adversarial attacks. AI Researchers - Incorporate responsible AI principles into research and development processes. Product Managers - Design AI-driven products with governance, compliance, and ethical considerations in mind. Educators & Trainers - Teach AI governance principles to students and professionals effectively. Investors & Venture Capitalists - Assess AI startups for ethical risks, governance maturity, and regulatory compliance. Requirements No prior experience in AI governance is required-this course covers everything from the basics to advanced topics. A basic understanding of AI, technology, or business operations is helpful but not mandatory. Description Why You Should Take the Artificial Intelligence Governance Professional (AIGP) TrainingIn today's rapidly evolving AI landscape, businesses and institutions need experts in AI Governance, Ethics & Compliance who can evaluate AI systems, curate standards, and implement strategies for adhering to AI regulations.The AIGP Certification training equips professionals with the knowledge and skills to develop, integrate, and deploy trustworthy AI systems in alignment with emerging laws, policies, and AI risk management frameworks.What you will learn:Master AI Governance, Ethics & Compliance by understanding core AI risks and ethical principles.Explore AI Risk Management strategies to mitigate potential harms and regulatory violations.Learn about different AI technology stacks and their applications.Identify key AI frameworks & policies that govern responsible AI deployment.Understand AI strategy development and implementation of AI governance policies.Assess AI models using risk assessment methodologies and compliance frameworks.Navigate existing and emerging AI laws, including GDPR, the EU AI Act, and liability reform.Study how intellectual property laws, non-discrimination laws, and consumer protection laws apply to AI systems.Gain hands-on insights into governing AI design, data collection, model testing, and deployment decisions.Get Certified and Advance Your CareerMaster the 4 domains of the IAPP AIGP Certification exam with 20+ hours of on-demand video.Prepare for the 2025 AIGP Certification Exam with expert-led training.Understand the technological foundations of AI and its societal impact.Develop a strong foundation in responsible AI governance & risk management frameworks.Stay ahead of AI compliance regulations and best practices for responsible AI deployment.This training is designed for professionals who want to lead in AI governance and ensure compliance with AI laws and ethical standards. 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Free Download Next-Gen Pharmacovigilance With Artificial Intelligence Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.00 GB | Duration: 2h 31m Advancing Drug Safety, Signal Detection, and Risk Management What you'll learn Understand the Fundamentals of AI and Its Impact on Society Gain Insight into the Evolution of Clinical Research Comprehend the Role of Pharmacovigilance in Drug Safety Learn the Process of Pharmacovigilance and ADR Detection Explore Signal Detection Methods in Pharmacovigilance Utilize Argus Software for Advanced Pharmacovigilance Practices Requirements Basic knowledge of AI, data science, or pharmacovigilance is helpful but not required. No special tools are needed-just a laptop with internet access and a willingness to learn. Description In today's fast-evolving pharmaceutical landscape, artificial intelligence is revolutionizing pharmacovigilance, making drug safety monitoring faster, smarter, and more efficient. This course explores the next generation of pharmacovigilance powered by AI, covering key concepts, technologies, and real-world applications.You will learn how AI-driven tools enhance adverse event detection, streamline data analysis, and improve regulatory compliance. Through practical examples and case studies, you'll discover how machine learning, natural language processing, and automation are transforming drug safety. Additionally, you will explore AI's role in signal detection, risk assessment, and predictive analytics to foresee potential safety concerns before they escalate. You'll also gain insights into AI-driven automation of safety reporting and its impact on global regulatory frameworks.This course will provide a comprehensive understanding of AI's capabilities, limitations, and ethical considerations in pharmacovigilance. You will explore the integration of AI with big data, cloud computing, and real-world evidence to optimize drug safety monitoring. Discussions on regulatory guidelines, industry trends, and future developments will prepare you for the evolving landscape of pharmacovigilance.By the end of this course, you will have the knowledge and skills to implement AI-driven solutions in drug safety processes. Whether you're a healthcare professional, regulatory expert, or data scientist, this course will equip you with cutting-edge expertise to stay ahead. With AI-driven pharmacovigilance, drug safety is becoming more proactive, efficient, and data-driven, ultimately improving patient outcomes and global public health. This course is for pharmacovigilance professionals, healthcare experts, and AI enthusiasts looking to apply AI in drug safety. It also suits data scientists and regulatory professionals interested in AI-driven pharmacovigilance. Homepage: https://www.udemy.com/course/next-gen-pharmacovigilance-with-artificial-intelligence/ DOWNLOAD NOW: Next-Gen Pharmacovigilance With Artificial Intelligence Rapidgator https://rg.to/file/cac8567027a1c370a3896ccb1698d260/ariml.NextGen.Pharmacovigilance.With.Artificial.Intelligence.part1.rar.html https://rg.to/file/758910524638457a3cbcdf9b0a0e832f/ariml.NextGen.Pharmacovigilance.With.Artificial.Intelligence.part2.rar.html Fikper Free Download https://fikper.com/LmEO3EaZXe/ariml.NextGen.Pharmacovigilance.With.Artificial.Intelligence.part1.rar.html https://fikper.com/7BGIXdqkKc/ariml.NextGen.Pharmacovigilance.With.Artificial.Intelligence.part2.rar.html No Password - Links are Interchangeable

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Free Download Python Bootcamp and Introduction to Artificial Intelligence Last updated 8/2024 Duration: 5h47m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 6.78 GB Genre: eLearning | Language: English Master Python Programming and Dive into the World of AI: A Beginner-Friendly Journey from Coding Basics to AI Concepts What you'll learn Gain a strong understanding of Python, including data types, operators, control structures, functions, and classes, enabling you to write efficient and organize Apply Python concepts to solve real-world problems, automate tasks, and create projects, enhancing your logical and algorithmic thinking. Learn foundational concepts of Artificial Intelligence and Machine Learning, including key topics like supervised and unsupervised learning. Use Python libraries like TensorFlow, Keras, and scikit-learn to build, train, and evaluate basic AI models, gaining hands-on experience in AI and ML. Requirements No Prior Programming Experience Needed: This course is designed for absolute beginners, so no previous programming experience is required. We'll start from the basics and guide you through each step. Basic Computer Skills: Familiarity with using a computer, including navigating files and installing software, will be helpful but not mandatory. A Willingness to Learn: Bring your enthusiasm and curiosity! A proactive attitude towards learning will help you get the most out of the course. Access to a Computer and Internet Connection: You'll need a computer (Windows, macOS, or Linux) with internet access to download and install Python, follow along with the lessons, and practice coding. Description Welcome to the Python Bootcamp and Introduction to Artificial Intelligence , your comprehensive guide to mastering Python programming and exploring the exciting world of Artificial Intelligence. This course is designed for beginners and those with little to no programming experience who want to build a strong foundation in Python and gain an introductory understanding of AI. Throughout this course, you will Learn Python from Scratch : Start with the basics of Python programming, including variables, data types, control flow, functions, and modules. You'll build your coding skills step by step, working on real-world projects and examples. Explore Advanced Python Concepts : As you progress, you'll dive into more advanced topics such as object-oriented programming (OOP), file handling, and data manipulation. These skills will prepare you for more complex coding challenges. Introduction to AI and Machine Learning : Transition from Python programming to understanding the fundamentals of AI and Machine Learning. Learn key concepts like supervised and unsupervised learning, and discover how AI is applied in various industries. 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Free Download Professional Logo Production With Artificial Intelligence Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 216.06 MB | Duration: 0h 30m Professional Logo Production With Artificial Intelligence-GENAI What you'll learn Use of Artificial Intelligence Logo Production Applications Use of Artificial Intelligence Visual Production Applications Active or Passive Income Generation Systems with Artificial Intelligence Studies Prompt Engineering Business Models that can be done with Artificial Intelligence Content Production with Artificial Intelligence Prompt Engineering for Logo Production with Artificial Intelligence Requirements Beginner Level Description EducationProfessional Logo Production With Artificial Intelligence-GENAIPlanned in 2 Sections and 13 TitlesChapter OneIntroduction1-Introduction Professional Logo Production With Artificial Intelligence-GENAI2-How Much Income Can You Earn By Selling Logo Professional Logo Production With Artificial Intelligence-GENAI3-Logo Sales Platforms Professional Logo Production With Artificial Intelligence-GENAI4-Is There a Copyright Problem in Logo Designs Professional Logo Production With Artificial Intelligence-GENAIChapter TwoProfessional Logo Production With Artificial Intelligence5-Which Artificial Intelligence Platform to Use Professional Logo Production With Artificial Intelligence-GENAI6-Introduction to Artificial Intelligence Platform Professional Logo Production With Artificial Intelligence-GENAI7-Making Logo Production Settings in Artificial Intelligence Platform Professional Logo Production With Artificial Intelligence-GENAI8-How to Write a Detailed Prompt for Logo Design Professional Logo Production With Artificial Intelligence-GENAI9-Logo Production Work I Professional Logo Production With Artificial Intelligence-GENAI10-Logo Production Work II Professional Logo Production With Artificial Intelligence-GENAI11-Logo Production Work III Professional Logo Production With Artificial Intelligence-GENAI12-How to Remove Background from Produced Logos Professional Logo Production With Artificial Intelligence-GENAI13-How to Make Logo Productions in Different Styles Professional Logo Production With Artificial Intelligence-GENAIOur training has been planned and prepared within the scope of the above sectionsProfessional Logo Production With Artificial Intelligence-GENAIWe wish success to all our parti[beeep]ting students. FE AcademyContinue to Follow Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 How Much Income Can You Earn By Selling Logo Lecture 3 Logo Sales Platforms Lecture 4 Is There a Copyright Problem in Logo Designs Section 2: Professional Logo Production With Artificial Intelligence Lecture 5 Which Artificial Intelligence Platform to Use Lecture 6 Introduction to Artificial Intelligence Platform Lecture 7 Making Logo Production Settings in Artificial Intelligence Platform Lecture 8 How to Write a Detailed Prompt for Logo Design Lecture 9 Logo Production Work I Lecture 10 Logo Production Work II Lecture 11 Logo Production Work III Lecture 12 How to Remove Background from Produced Logos Lecture 13 How to Make Logo Productions in Different Styles Those Interested in Artificial Intelligence Programmes,Those who want to produce content with Artificial Intelligence,Those Interested in Artificial Intelligence Technologies,Those who want to produce images with Artificial Intelligence,Those who want to produce a logo with Artificial Intelligence,Those Who Want to Earn Income with Artificial Intelligence Homepage https://www.udemy.com/course/professional-logo-production-with-artificial-intelligence/ Rapidgator https://rg.to/file/23e92ae440b67f463d6a27509cc30c7c/lxckx.Professional.Logo.Production.With.Artificial.Intelligence.rar.html Fikper Free Download https://fikper.com/cAqEtfTwts/lxckx.Professional.Logo.Production.With.Artificial.Intelligence.rar.html No Password - Links are Interchangeable

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

Free Download Ethical Considerations in Artificial Intelligence Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 53m | Size: 1.67 GB Navigating Ethical Boundaries in AI What you'll learn Identify and articulate the key ethical considerations associated with the development and use of Artificial Intelligence in various organizational contexts. Assess the effects of AI on society, including issues related to bias, privacy, and accountability, and recognize their implications for organizations. Explain the critical role internal auditors play in evaluating and promoting ethical practices surrounding AI technologies within their organizations. Perform risk assessments focused on AI-related ethical challenges, identifying potential areas of concern and suggesting mitigation strategies. Advocate for best practices that foster transparency and fairness in AI systems, enhancing trust among stakeholders. Lead discussions on ethical AI usage within organizations, encouraging a culture of integrity and responsibility in AI deployment. Requirements Parti[beeep]nts are encouraged to have the following foundational knowledge and skills before enrolling in the Ethics in Artificial Intelligence for Auditors course Familiarity with auditing concepts, methodologies, and practices is essential for engaging with the course material. A general understanding of AI technologies, including machine learning and data analytics, will enhance parti[beeep]nts' comprehension of ethical implications. Prior experience in risk assessment or compliance roles will be beneficial for contextualizing the discussions on ethical boundaries. Familiarity with relevant regulations and guidelines concerning data privacy and ethical use of technology, such as GDPR or CCPA, is advantageous. A willingness to engage in discussions about ethics and responsibility in technology use will contribute to a productive learning environment. While these prerequisites are recommended, a strong motivation to learn about the ethical dimensions of AI will also support parti[beeep]nts' success in the course. Description As Artificial Intelligence (AI) transforms industries and enhances productivity, it also raises critical ethical considerations that users, organizations, and society must address. This course explores the ethical implications of AI, examining its societal effects and the challenges it presents, such as bias, privacy concerns, and accountability.Parti[beeep]nts will delve into case studies and real-world scenarios to understand how AI can impact decision-making processes and influence organizational culture. The course emphasizes the vital role of internal auditors in establishing ethical boundaries that guide the development and deployment of AI technologies.Key topics include frameworks for ethical AI use, the auditor's role in assessing AI risks, and best practices for promoting transparency and fairness in AI systems. By the end of the course, parti[beeep]nts will be equipped with the knowledge and tools necessary to help their clients navigate the ethical landscape of AI, ensuring responsible implementation that aligns with organizational values and societal expectations. This course is essential for auditors seeking to enhance their expertise in AI ethics and contribute to fostering a culture of integrity within their organizations.Parti[beeep]nts are encouraged to have the following foundational knowledge and skills before enrolling in the Ethics in Artificial Intelligence for Auditors course:Basic Understanding of Auditing Principles: Familiarity with auditing concepts, methodologies, and practices is essential for engaging with the course material.Introductory Knowledge of Artificial Intelligence: A general understanding of AI technologies, including machine learning and data analytics, will enhance parti[beeep]nts' comprehension of ethical implications.Experience in Risk Management or Compliance: Prior experience in risk assessment or compliance roles will be beneficial for contextualizing the discussions on ethical boundaries.Awareness of Regulatory Standards: Familiarity with relevant regulations and guidelines concerning data privacy and ethical use of technology, such as GDPR or CCPA, is advantageous.Interest in Ethical Considerations: A willingness to engage in discussions about ethics and responsibility in technology use will contribute to a productive learning environment.While these prerequisites are recommended, a strong motivation to learn about the ethical dimensions of AI will also support parti[beeep]nts' success in the course. 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