Master AI Governance & Pass the AIGP Certification Exam with Confidence
Are you preparing for the IAPP AIGP Certification Exam? Our AIGP Exam Prep Course provides a structured, self-paced learning experience covering AI governance, risk management, compliance, and ethics—all essential for passing the exam and advancing your career.
What’s on This Page
Why Choose the AIGP Exam Prep Course?
- Comprehensive, Curated Content – Structured lessons with videos, blogs, podcasts, and articles aligned with the AIGP exam body of knowledge.
- Self-Paced Learning – Study anytime, anywhere, with lifetime access to course materials.
- Real-World Applications – Case studies and expert insights to help you apply AI governance principles in professional settings.
- Practice Questions & Study Guides – Reinforce your learning with quizzes and exam-focused study materials.
- Exam Readiness Support – Proven tips, strategies, and expert guidance to approach the AIGP Certification Exam with confidence.
What Will You Learn? (Course Overview)
This course is divided into 6 sections with 80+ lessons, covering all key domains of AI governance. Each section includes detailed lessons, case studies, and practice quizzes to reinforce key concepts.
Course Curriculum Highlights
- Domain I – Understanding the Foundations of AI Governance
- Domain II – AI Laws, Standards, and Compliance Frameworks
- Domain III – Governing AI Development
- Domain IV – Responsible AI Deployment and Risk Management
- Additional Case Studies & Lessons
- Practice Tests to Assess Your Readiness
Course Curriculum
- Strong vs. Weak AI
- Strong vs. Weak AI – Case Example
- The Dartmouth Conference Explained
- The Generations of AI Development
- Phases of AI Development Explained
- Determining Your AI Governance Structure
- Key Factors of Trust in AI – NIST
- NIST ARIA (Assess Risks and Impacts of AI) Program Explained
- Responsible AI Governance: Ethical Considerations, Bias Mitigation, and Explainability in AI Systems (Video)
- User-Centered Design (UCD) Process & User Stories Explained
- AI Project/Product Lifecycle
- Values-Based Engineering Design in AI
- Types of Data Sets & Training Sets in AI
- Quiz: Understanding the Foundations of AI Governance
- Comparison of the EU AI Act, OECD AI Principles, AI Bill of Rights (USA), and Singapore’s AI Governance Framework
- DPIA and AI Conformity Assessments Explained
- Canada AI Regulations
- Fines Associated with AI Regulations & Frameworks
- EU AI Act and SMEs/Start-Ups
- Timeline of the EU AI Act
- Conformity Assessments & 3rd Party Audits in the EU AI Act
- Conformity Assessments & Audits in the USA AI Act
- GDPR Requirements Explained
- GDPR Requirements Explained (Summary)
- GDPR – Use Case Example
- Digital Services Act Explained (Webinar)
- Title VII of the Civil Rights Act of 1964 Explained
- Handling AI Disputes in the USA
- Implications of the EU AI Act for U.S. Businesses
- Brief Summary of NIST AI Risk Management Framework (AI RMF)
- Debunking the EU AI Act: An Overview of the New Legal Framework (Video)
- Enabling Effective AI Policies: Launch of the OECD Framework for Classifying AI Systems (Video)
- Using the NIST AI Risk Management Framework (Video)
- Quiz: Understanding How Laws, Standards, and Frameworks Apply to AI
- Types of Machine Learning
- Types of Machine Learning (Video)
- AI Models Explained
- Types of AI Models vs. Types of Machine Learning
- Machine Learning Models – Use Case Example
- All Machine Learning Models Explained in 5 Minutes (Video)
- GPUs in AI
- GPUs vs CPUs
- Using Mathematical Data in Machine Learning
- Feature Validation and Selection in AI
- Greedy Algorithms Explained
- Transformers in AI
- Synthetic Data in AI
- Synthesized Data – Use Case Example
- Differential Privacy Techniques Explained
- Federated Learning in AI Explained
- Challenger Models Explained
- Random Forest in ML Explained (Video)
- Overfitting Explained
- Data Cleansing Explained
- Bug Bashing vs. Model Cards
- Red Teaming vs. Bug Bashing in AI
- Reliable vs. Robust AI
- Quiz: Understanding How to Govern AI Development
- Different Types of Bias in AI
- Computational & Statistical Bias
- Perception Bias – Case Example
- Mitigating Bias in AI
- Mitigating Bias – Use Case Example
- Types of AI Harms
- AI Redress Explained
- Redress in AI
- A/B Testing Frameworks – Use Case Example
- Social Scoring in AI Explained
- Best Practices for Generative AI & Intellectual Property (IP) Protection
- Managing Copyrighted Information in AI
- 5 Key Best Practices for Protecting Generative AI & Intellectual Property (IP)
- Intellectual Property & Licensing Agreements Explained (Video)
- Protecting Intellectual Property in Your Commercial Contracts (Video)
- Quiz: Understanding How to Govern AI Deployment and Use
- Creating and Evaluating Responsible AI Policies in Education: Best Practices and Expert Insights (Webinar)
- Case Study: Synthesia’s Enterprise AI Video Solutions
- ISO/IEC 42001 Explained
- Case Study: Understanding Synthetic Data
- Case Study: Harnessing AI to Tackle Unstructured Data and Enterprise Challenges
- Mitigating GenAI Risks in Financial Services (Podcast)
- Case Study: Hippocratic AI – Transforming Healthcare Through Focus and Innovation
- Case Study: Snap Inc. and My AI – A Lesson in Responsible AI Deployment
- Case Study: Addressing AI Risks and Harms to Children
- Case Study: Integrating AI and Data Literacy in Schools for Long-Term Student Benefits
- Article: The Golden Opportunity for American AI
- How to Leverage DPIAs for AI Risk Assessments? (Webinar)
- What Rights Do Data Subjects Have Under the AI Act and Are They Different from the GDPR? (Webinar)
- Domain 1 – Practice Test
- Domain 2 – Practice Test
- Domain 3 – Practice Test
- Domain 4 – Practice Test
Who Should Take This Course?
- AI governance, risk management, privacy, and compliance professionals
- Individuals preparing for the IAPP AIGP Certification Exam
- Business leaders, policymakers, and legal professionals seeking AI governance expertise
- Anyone interested in responsible AI deployment and compliance best practices
How much does the AIGP Exam Prep Course cost?
- Unlimited access to expert-led lessons, videos, blogs, podcasts, and practice exams to ensure your success.
AIGP Exam Prep Course + AIGP Study Group: $499
Prefer structured study sessions and peer accountability? This bundle includes lifetime access to the AIGP Exam Prep Course plus 3 months of interactive Study Group support with:
- Weekly live study sessions with AI governance experts
- Curated study materials (blogs, podcasts, videos)
- Practice questions & group discussions
AIGP Exam Prep Course + AIGP Mastermind: $449 (Save $50)
Want to go beyond the exam and stay ahead in AI governance? This bundle includes:
- Full AIGP Exam Prep Course + 12 months of access to the AIGP Mastermind
- Exclusive access to expert discussions, networking, and deep-dive case studies
- Ongoing professional development in AI risk, compliance, and strategy
All-Inclusive: AIGP Exam Prep Course + AIGP Exam Study Group + AIGP Mastermind: $599 (Save $200!)
The Ultimate AIGP Learning Experience – Get everything you need for exam success and long-term AI governance mastery:
- Full AIGP Exam Prep Course
- 3 months of Study Group support (structured sessions & peer discussions)
- 12 months in the AIGP Mastermind (exclusive networking & expert insights)
How do I get started?
- Enroll in the Course – Get instant access to all study materials upon registration.
- Learn at Your Own Pace – Access videos, articles, and interactive study resources anytime.
- Test Your Knowledge – Use practice quizzes and study guides to assess your readiness.
- Prepare for Success – Apply expert strategies and real-world insights to confidently pass the AIGP Certification Exam.
Your AIGP Exam Prep Course is Just a Click Away!
Master AI governance and boost your career. Enroll today and take the next step toward success!
- Note: This program is independent and not endorsed by IAPP. Participation does not guarantee passing the certification exam, but it will significantly enhance your preparation and expertise.
