AI Governance Professional (AIGP) Certification Masterclass

سرفصل های دوره

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

1. Course Introduction

1. Why should you take this AIGP course

2. What is the AIGP certificate

3. What is the IAPP

4. Why get AIGP certified

5. Helen Toner TED Talk How to Govern AI.html

6. How do privacy and AI overlap

7. Discord Server - The Privacy Professors Parlor.html

8.1 Course Introduction Lecture Notes.pdf

8. Course Introduction Lecture Notes.html

2. Domain 1 The Foundations of Artificial Intelligence

1. What is Artificial Intelligence (AI)

2. What is Machine Learning (ML)

3. Supervised Learning

4. Unsupervised and Semi-supervised Learning

5. Reinforcement Learning

6. Recommended Documentary AlphaGo (2016).html

7. Discriminative and Generative Models

8. Foundation Models

9. Recommended Video But what is a neural network.html

10. Resource Stanford HAI 2024 AI Index.html

11. Categories of Artificial Intelligence

12. Expert Systems and Fuzzy Logic

13. Robotics and AI

14. Common AI Models

15. Large Language Models (LLMs)

16. AI Use Cases

17. AI Tech Stack - Compute

18. AI Tech Stack - Storage and Network

19. AI Tech Stack - Software

20. Data

21. A Brief History of AI

22. A Brief History of Data Science

23. OECD AI Classification Framework

24.1 Domain 1 Lecture Notes.pdf

24. Domain 1 Lecture Notes.html

3. Domain 2 AI Impacts and Responsible AI Principles

1. The Fair Information Practices (FIPs)

2. Buzzword Bingo - AI Ethics

3. OECD AI Principles

4. White House Blueprint for an AI Bill of Rights

5. UNESCO Recommendation on the Ethics of AI

6. The Asilomar AI Principles

7. IEEE Global Initiatives Ethically Aligned Design

8. The CNIL AI Action Plan

9. European Commission Ethics Guidelines for Trustworthy AI

10. Creating a Culture of Ethical AI

11. Harms - Individuals and Groups

12. Harms - Society

13. Harms - Companies, Institutions, and Ecosystems

14. Types of Bias

15. Trustworthy AI

16.1 Domain 2 Lecture Notes.pdf

16. Domain 2 Lecture Notes.html

4. Domain 3 Current Laws that Apply to AI Systems

1. Categories of AI-based Products

2. Employment and the EEOC

3. The Federal Trade Commission (FTC)

4. Automated Decision Making

5. The Federal Reserve and SR 11-7

6. OSHA and Industrial Robot Systems

7. FDA AI and Medical Devices

8. Product Safety and Liability in the US

9. Product Safety and Liability in the EU

10. The EU Digital Services Act (DSA)

11. Privacy and Security Law

12. The EU General Data Protection Regulation (GDPR)

13.1 Domain 3 Lecture Notes.pdf

13. Domain 3 Lecture Notes.html

5. Domain 4 Existing and Emerging AI Laws and Standards

1. Emerging Global AI Laws

2. Canada and The Digital Charter Implementation Act (2022)

3. Chinas Generative AI Measures

4. United States AI Laws and Policies Part 1

5. United States AI Laws and Policies Part 2

6. Resource NIST Trustworthy and Responsible AI Resource Center.html

7. Singapores Model AI Governance Framework Part 1

8. Singapores Model AI Governance Framework Part 2

9. Resource Tortoise Medias Global AI Index.html

10. EU AI Act Overview

11. EU AI Act Risk Levels

12. EU AI Act High-risk System Requirements

13. EU AI Act Limited- and Minimal-risk System Requirements

14. EU AI Act Governance and Penalties

15. EU AI Act General Purpose Artificial Intelligence (GPAI)

16. ISO 310002018

17. IEEE 7000-21

18. ISOIEC Guide 51 Safety Aspects

19. NIST AI RMF Terminology

20. NIST AI RMF Foundational Information

21. NIST AI RMF Framework Core

22. Human Rights, Democracy, and Rule of Law Assurance Framework for AI Systems

23.1 Domain 4 Lecture Notes.pdf

23. Domain 4 Lecture Notes.html

6. Domain 5 The AI Development Life Cycle

1. AI Development Lifecycle - Plan

2. AI Development Lifecycle - Design

3. Privacy Enhancing Technologies (PETs)

4. Buzzword Bingo - Feature Engineering

5. AI Development Lifecycle - Develop

6. Model Evaluation Tools

7. Resources Model Evaluation Tools.html

8. AI Development Lifecycle - Deploy

9.1 Domain 5 Lecture Notes.pdf

9. Domain 5 Lecture Notes.html

7. Domain 6 Implementing Responsible AI Governance and Risk Management

1. How to Build a Governance Framework

2. Governance Principles

3. Standing Up an AI Governance Body

4. Stakeholder Engagement Process

5. Communication Plan and Products

6. Security Risks - Generative AI

7. Security Risks - General AI

8. Privacy Risks

9. Operational and Business Risks

10. Building AI Impact Assessments

11. Resources AI Impact Assessments.html

12. Risk Scoring Methods and Tools

13. HUDERIA Risk Index Number (RIN) and Risk Mitigation Hierarchy

14. Conformity Assessments and DPIAs

15. Testing and Documentation

16. Resources Testing and Evaluation Resources.html

17. Repeatability Assessments and Adversarial Testing

18. Managing and Monitoring AI Systems

19.1 Domain 6 Lecture Notes.pdf

19. Domain 6 Lecture Notes.html

8. Domain 7 Ongoing Issues and Concerns

1. Intellectual Property and Model and Data Licensing

2. USPTO and the US Copyright Office

3. The Legality of Web Scraping

4. Notable Case Studies and IP Takeaways

5. Leftover Lexicon

6. Upskilling and Reskilling the Workforce

7. AI Opt Outs and Unlearning

8. Auditing, Accountability, and Automation

9.1 Domain 7 Lecture Notes.pdf

9. Domain 7 Lecture Notes.html

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تولید کننده: Udemy