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AI Governance Professional (AIGP) Certification Masterclass

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Dr. Kyle David

15:33:49

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  • 1. Why should you take this AIGP course.mp4
    07:51
  • 2. What is the AIGP certificate.mp4
    10:07
  • 3. What is the IAPP.mp4
    03:00
  • 4. Why get AIGP certified.mp4
    13:33
  • 5. Helen Toner TED Talk How to Govern AI.html
  • 6. How do privacy and AI overlap.mp4
    06:28
  • 7. Discord Server - The Privacy Professors Parlor.html
  • 8.1 Course Introduction Lecture Notes.pdf
  • 8. Course Introduction Lecture Notes.html
  • 1. What is Artificial Intelligence (AI).mp4
    13:00
  • 2. What is Machine Learning (ML).mp4
    12:55
  • 3. Supervised Learning.mp4
    14:57
  • 4. Unsupervised and Semi-supervised Learning.mp4
    15:28
  • 5. Reinforcement Learning.mp4
    07:28
  • 6. Recommended Documentary AlphaGo (2016).html
  • 7. Discriminative and Generative Models.mp4
    08:08
  • 8. Foundation Models.mp4
    11:30
  • 9. Recommended Video But what is a neural network.html
  • 10. Resource Stanford HAI 2024 AI Index.html
  • 11. Categories of Artificial Intelligence.mp4
    05:14
  • 12. Expert Systems and Fuzzy Logic.mp4
    08:00
  • 13. Robotics and AI.mp4
    04:32
  • 14. Common AI Models.mp4
    08:20
  • 15. Large Language Models (LLMs).mp4
    10:54
  • 16. AI Use Cases.mp4
    12:50
  • 17. AI Tech Stack - Compute.mp4
    13:19
  • 18. AI Tech Stack - Storage and Network.mp4
    05:42
  • 19. AI Tech Stack - Software.mp4
    09:54
  • 20. Data.mp4
    14:23
  • 21. A Brief History of AI.mp4
    08:27
  • 22. A Brief History of Data Science.mp4
    13:04
  • 23. OECD AI Classification Framework.mp4
    13:50
  • 24.1 Domain 1 Lecture Notes.pdf
  • 24. Domain 1 Lecture Notes.html
  • 1. The Fair Information Practices (FIPs).mp4
    14:31
  • 2. Buzzword Bingo - AI Ethics.mp4
    08:30
  • 3. OECD AI Principles.mp4
    09:47
  • 4. White House Blueprint for an AI Bill of Rights.mp4
    12:21
  • 5. UNESCO Recommendation on the Ethics of AI.mp4
    04:19
  • 6. The Asilomar AI Principles.mp4
    07:04
  • 7. IEEE Global Initiatives Ethically Aligned Design.mp4
    04:36
  • 8. The CNIL AI Action Plan.mp4
    04:07
  • 9. European Commission Ethics Guidelines for Trustworthy AI.mp4
    03:20
  • 10. Creating a Culture of Ethical AI.mp4
    09:57
  • 11. Harms - Individuals and Groups.mp4
    11:14
  • 12. Harms - Society.mp4
    13:48
  • 13. Harms - Companies, Institutions, and Ecosystems.mp4
    11:12
  • 14. Types of Bias.mp4
    04:15
  • 15. Trustworthy AI.mp4
    09:57
  • 16.1 Domain 2 Lecture Notes.pdf
  • 16. Domain 2 Lecture Notes.html
  • 1. Categories of AI-based Products.mp4
    07:37
  • 2. Employment and the EEOC.mp4
    07:35
  • 3. The Federal Trade Commission (FTC).mp4
    05:28
  • 4. Automated Decision Making.mp4
    13:19
  • 5. The Federal Reserve and SR 11-7.mp4
    07:25
  • 6. OSHA and Industrial Robot Systems.mp4
    03:06
  • 7. FDA AI and Medical Devices.mp4
    04:27
  • 8. Product Safety and Liability in the US.mp4
    09:39
  • 9. Product Safety and Liability in the EU.mp4
    05:46
  • 10. The EU Digital Services Act (DSA).mp4
    04:25
  • 11. Privacy and Security Law.mp4
    04:29
  • 12. The EU General Data Protection Regulation (GDPR).mp4
    15:17
  • 13.1 Domain 3 Lecture Notes.pdf
  • 13. Domain 3 Lecture Notes.html
  • 1. Emerging Global AI Laws.mp4
    09:47
  • 2. Canada and The Digital Charter Implementation Act (2022).mp4
    06:28
  • 3. Chinas Generative AI Measures.mp4
    10:33
  • 4. United States AI Laws and Policies Part 1.mp4
    06:30
  • 5. United States AI Laws and Policies Part 2.mp4
    12:12
  • 6. Resource NIST Trustworthy and Responsible AI Resource Center.html
  • 7. Singapores Model AI Governance Framework Part 1.mp4
    06:17
  • 8. Singapores Model AI Governance Framework Part 2.mp4
    08:54
  • 9. Resource Tortoise Medias Global AI Index.html
  • 10. EU AI Act Overview.mp4
    06:34
  • 11. EU AI Act Risk Levels.mp4
    15:36
  • 12. EU AI Act High-risk System Requirements.mp4
    08:02
  • 13. EU AI Act Limited- and Minimal-risk System Requirements.mp4
    03:27
  • 14. EU AI Act Governance and Penalties.mp4
    05:42
  • 15. EU AI Act General Purpose Artificial Intelligence (GPAI).mp4
    05:50
  • 16. ISO 310002018.mp4
    06:18
  • 17. IEEE 7000-21.mp4
    04:45
  • 18. ISOIEC Guide 51 Safety Aspects.mp4
    02:41
  • 19. NIST AI RMF Terminology.mp4
    04:35
  • 20. NIST AI RMF Foundational Information.mp4
    08:49
  • 21. NIST AI RMF Framework Core.mp4
    05:33
  • 22. Human Rights, Democracy, and Rule of Law Assurance Framework for AI Systems.mp4
    07:27
  • 23.1 Domain 4 Lecture Notes.pdf
  • 23. Domain 4 Lecture Notes.html
  • 1. AI Development Lifecycle - Plan.mp4
    12:51
  • 2. AI Development Lifecycle - Design.mp4
    12:43
  • 3. Privacy Enhancing Technologies (PETs).mp4
    13:56
  • 4. Buzzword Bingo - Feature Engineering.mp4
    07:57
  • 5. AI Development Lifecycle - Develop.mp4
    11:51
  • 6. Model Evaluation Tools.mp4
    14:30
  • 7. Resources Model Evaluation Tools.html
  • 8. AI Development Lifecycle - Deploy.mp4
    12:22
  • 9.1 Domain 5 Lecture Notes.pdf
  • 9. Domain 5 Lecture Notes.html
  • 1. How to Build a Governance Framework.mp4
    09:21
  • 2. Governance Principles.mp4
    04:48
  • 3. Standing Up an AI Governance Body.mp4
    15:09
  • 4. Stakeholder Engagement Process.mp4
    11:22
  • 5. Communication Plan and Products.mp4
    11:03
  • 6. Security Risks - Generative AI.mp4
    09:51
  • 7. Security Risks - General AI.mp4
    12:16
  • 8. Privacy Risks.mp4
    14:09
  • 9. Operational and Business Risks.mp4
    08:21
  • 10. Building AI Impact Assessments.mp4
    08:12
  • 11. Resources AI Impact Assessments.html
  • 12. Risk Scoring Methods and Tools.mp4
    12:48
  • 13. HUDERIA Risk Index Number (RIN) and Risk Mitigation Hierarchy.mp4
    09:49
  • 14. Conformity Assessments and DPIAs.mp4
    08:13
  • 15. Testing and Documentation.mp4
    11:22
  • 16. Resources Testing and Evaluation Resources.html
  • 17. Repeatability Assessments and Adversarial Testing.mp4
    08:29
  • 18. Managing and Monitoring AI Systems.mp4
    12:04
  • 19.1 Domain 6 Lecture Notes.pdf
  • 19. Domain 6 Lecture Notes.html
  • 1. Intellectual Property and Model and Data Licensing.mp4
    13:26
  • 2. USPTO and the US Copyright Office.mp4
    03:24
  • 3. The Legality of Web Scraping.mp4
    11:09
  • 4. Notable Case Studies and IP Takeaways.mp4
    06:30
  • 5. Leftover Lexicon.mp4
    05:36
  • 6. Upskilling and Reskilling the Workforce.mp4
    07:16
  • 7. AI Opt Outs and Unlearning.mp4
    05:25
  • 8. Auditing, Accountability, and Automation.mp4
    11:11
  • 9.1 Domain 7 Lecture Notes.pdf
  • 9. Domain 7 Lecture Notes.html
  • Description


    Master the 7 domains of the IAPP AIGP certification exam with 15+ hours of on-demand video.

    What You'll Learn?


    • Prepare for the 2024 version of the Artificial Intelligence Governance Professional (AIGP) certification exam.
    • Understand the technological foundations of Artificial Intelligence (AI).
    • Master the principles of responsible AI and how AI impacts people.
    • Know how current laws apply to AI systems.
    • Grasp existing and emerging AI laws and standards.
    • Chart the AI development life cycle.
    • Learn how to implement responsible AI governance and risk management.
    • Contemplate ongoing issues and concerns.

    Who is this for?


  • Individuals preparing for their AIGP exam.
  • Anyone wanting a deeper understanding of AI governance, risk management, and legal and regulatory compliance.
  • Professionals wanting to build and expand the depth of their AI knowledge.
  • What You Need to Know?


  • No experience or background in AI, information technology, law or privacy required.
  • A desire and willingness to learn about AI, information technology, data privacy, and law.
  • More details


    Description

    * Fully updated and comprehensive coverage of version 1.0.0 of the AIGP Body of Knowledge (July 2024). This course will get an in-place update to align with the next version of the Body of Knowledge, once it is updated and approved. Therefore, you will not need to buy another course to be fully up to date. *


    Welcome to the AIGP Certification Masterclass. My name is Dr. Kyle David. I'm here to help you pass your AIGP certification exam.


    Getting your AIGP certification is an excellent career move.

    • From 2022 to 2023, investment in Generative AI skyrocketed from USD 2.85 billion to 25.23 billion

    • Harvard Law School suggests that as corporations race to adopt AI, investors will demand that C-suites demonstrate responsible governance

    • A 2023 IAPP-EY survey found that AI governance was respondents' second most important strategic priority

    • The number of AI-related laws enacted worldwide continues to grow, demanding a competent coterie of knowledgable professionals to navigate this terrain

    • A 2024 Microsoft-LinkedIn report found a 142x increase in LinkedIn profiles listing of AI skills


    This AIGP course covers all 7 domains in comprehensive detail. The 7 domains are:

    • Foundations of Artificial Intelligence

    • AI Impacts and Responsible AI Principles

    • Current Laws that Apply to AI Systems

    • Existing and Emerging AI Laws and Standards

    • The AI Development Life Cycle

    • Implementing Responsible AI Governance and Risk Management

    • Contemplating Ongoing Issues and Concerns


    This course includes:

    • 15+ hours of AIGP video lectures: Comprehensive coverage of all 7 domains.

    • Free downloadable AIGP study guides: Made from my lecture slides.

    • Access to Dr. David's Discord channel: To get live support from me and others as you prepare for the AIGP exam.

    • AIGP Mnemonics: To help you remember key details for the exam.

    • An automatic certificate of completion: To flex on your friends, family, and colleagues.

    • 30-day no questions asked, money-back guarantee.

    • Lifetime Access to the course and all future course updates.

    • Offline video viewing on the Udemy mobile app.


    Start your AIGP certification journey today and let me help YOU get certified!

    Who this course is for:

    • Individuals preparing for their AIGP exam.
    • Anyone wanting a deeper understanding of AI governance, risk management, and legal and regulatory compliance.
    • Professionals wanting to build and expand the depth of their AI knowledge.

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    Dr. Kyle David
    Dr. Kyle David
    Instructor's Courses
    Why should I get certified?There are three main reasons why you should earn a privacy certification.First, it demonstrates expertise. International Association of Privacy Professionals (IAPP) certificates are the GOLD STANDARD of privacy certificates. Having an IAPP certificate such as the CIPP/US demonstrates that you have a strong understanding of privacy laws and regulations.Second, privacy certificate holders earn a higher salary. According to the 2023 IAPP Privacy Professional Salary Survey, holders of one IAPP certificate earned 13% MORE than non-certificate holders. Holders of two or more IAPP certificates earned 27% more! Respondents reported an annual salary of USD $146,000, with Chief Privacy Officers averaging USD $206,000 annually.Finally, privacy professionals report high job satisfaction and work-life balance. Eighty-six percent of survey respondents reported being either “satisfied” or “extremely satisfied” with their jobs. Similarly, 69% work primarily from home, with 50% of respondents being fully remote.Why should I use your courses to prepare for certification?Successfully passing an IAPP examination has two components: 1) Learning to think like a privacy professional, and 2) finding the right materials. In my courses, you get both.My courses are ideal for all learners: experienced, returning, auditory, and visual. While textbooks and online reading courses work for some folks, studies demonstrate that we learn best through multi-modal learning. That is, we learn faster and more efficiently when we can listen, read, and think through topics under the guidance of an experienced instructor. With my courses, this is exactly what you get.What are your qualifications?In addition to having earned a Ph.D. from the University of California, Irvine, and possessing almost 20 years of in-person and online teaching experience, I have passed multiple, challenging exams, including the CIPP/US, CIPM, and CISSP exams. Additionally, I am a graduate of Carnegie Mellon University's Privacy Engineering Certificate program. I have earned top-tier cybersecurity certifications, such as the GIAC Critical Controls Certification. I am also an Associate of (ISC)2. My approach to teaching privacy is interdisciplinary. This means that I incorporate a strong grasp of law, information technology, cybersecurity, data science, and privacy policies and regulations into every course.In addition to teaching on Udemy, I am a privacy analyst for a large public sector organization with over 100,000 employees. One of my primary responsibilities includes developing and delivering advanced privacy training to our workforce.Finally, I am actively involved with the IAPP. I served as co-chair of a local KnowledgeNet from 2022-23 and I have organized panels for and spoken at major IAPP events, including the annual Global Privacy Summit in Washington, DC.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 103
    • duration 15:33:49
    • Release Date 2024/07/26