AIGP Certification Prep (Latest) with AI Governance Toolkit

200+ practice questions, 5 Case Studies, Visual AI Governance Walkthrough Demo, 23 downloadable governance templates
What you'll learn

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Pass the IAPP AIGP exam, aligned to BoK v2.1 (effective February 2026)
Classify any AI system by EU AI Act risk tier and identify its applicable obligations
Design and implement a governance gate process for AI development and deployment
Apply AI Governance Toolkit and Templates provided to real governance frameworks inside your organization
Requirements

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No prior AI technical knowledge is required. No prior certifications are required. Familiarity with governance, compliance, or risk management roles is helpful but not mandatory.
Description

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Most AIGP courses teach you how to pass an exam. This course teaches you how to pass the exam AND govern AI in practice.
Every concept in this course is aligned to the IAPP AIGP Body of Knowledge v2.1 (effective 2 February 2026). All four domains are covered comprehensively with real-world examples, exam alerts on every topic, and practical governance frameworks you can apply immediately.
But here is what makes this course different from every other AIGP course on Udemy.
You do not just learn what a Fundamental Rights Impact Assessment is. You download a ready-to-use FRIA template and watch it being completed in a healthcare case study. You do not just learn the ten terms that should be in a vendor agreement. You download a Vendor Agreement Checklist and see exactly when and how it is used when a bank contracts with an AI provider. You do not just learn the six stages of incident response. You watch a real incident unfold in a hospital setting and see the Incident Management Policy activated step by step.
Before you learn a single concept, you will see a complete AI governance workflow in action through a live platform walkthrough - from use case registration and regulatory mapping through release gates, live monitoring and automatic reassessment when a policy threshold is crossed. Every concept you learn in Modules 1 through 4 has a home in that workflow.
This course includes 23 downloadable governance templates spanning the full AI lifecycle, from your first AI Governance Policy through to the final Decommissioning Checklist. These can serve as reference for your governance toolkit.
No other AIGP course offers this. Study guides teach you theory. Templates give you practice. This course gives you both.
What is included
Comprehensive video lectures covering all four AIGP domains
Live AI Governance Platform walkthrough - see the end-to-end workflow before you learn the theory
23 downloadable governance templates - ready to use at work
200+ scenario-based practice questions including two full 100-question practice exams
200 pages of downloadable study materials (study notes, exam quick reference, BoK navigation guide, case study notes)
5 end-to-end industry case studies (healthcare, financial services, education, recruitment, legal)
In-section quizzes after every lecture to check understanding
Exam alerts on every topic showing exactly what the exam tests
Template-to-case study mapping showing when to use each template in the governance lifecycle
Your AIGP exam preparation is fully covered. Your first day as an AI governance professional is too.
What You Will Learn

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Prepare for and pass the 2026 AIGP certification exam (BoK v2.1)
Understand AI system definitions, types, characteristics and risks - and why each one requires governance
Identify which laws apply to any AI system across any jurisdiction (EU AI Act, GDPR, CCPA, ADA, ECOA, FCRA, HIPAA, COPPA and more)
Apply the EU AI Act's risk classification framework and know the obligations at each tier
Conduct Fundamental Rights Impact Assessments (FRIA) and Data Protection Impact Assessments (DPIA) for AI
Negotiate the ten governance-critical terms in AI vendor agreements
Govern the full AI development lifecycle from planning and data governance through testing, release and monitoring
Use the NIST AI RMF four core functions (Govern, Map, Measure, Manage) to structure risk management
Apply the five-step risk management process including the probability/severity matrix and mitigation hierarchy
Test AI systems for bias, fairness, security and performance using the TEVV framework
Interpret precision, recall, F1 and accuracy metrics and know when to prioritize each one
Deploy AI systems responsibly with the right human oversight model (in-the-loop, on-the-loop, out-of-the-loop)
Monitor deployed AI systems across four dimensions and respond to model drift and incidents
Govern agentic AI and multi-agent systems with appropriate scope boundaries and audit trails
Create and implement a deactivation policy and decommissioning checklist
Use 23 downloadable governance templates to build a complete AI governance program from scratch
Who this course is for

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This course is well-suited for anyone working in the field of AI, trying to understand AI governance landscape.
Compliance, legal, and risk management professionals adding AI governance to their expertise
Senior leaders accountable for organisational AI governance programmes
AI program managers, product managers, and technical leads responsible for AI system governance
Audit and assurance professionals conducting AI governance reviews
HR and people analytics professionals deploying AI in employment contexts
Privacy professionals with CIPP or CIPM credentials extending into AI governance
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