← Aventis Press
AIGP Certification Study Guide
The complete exam prep for busy professionals, with all four AIGP domains, realistic scenario-based practice, and a strategy for choosing the best answer.
What this guide covers
The book's own chapter-by-chapter structure: exam orientation and answer strategy first, then all four AIGP domains in full, through to the closing cross-domain review.
Understanding the AIGP Certification Exam
- 1.1 The purpose, scope, and four-domain blueprint
- 1.2 Exam format and question types
- 1.3 Scaled scoring, pass/fail, and practice readiness
- 1.4 Timing, review rules, and the test-day plan
Strategies for Choosing the Best Answer
- 2.1 From knowing the material to applying it
- 2.2 The Map–Connect–Decide method
- 2.3 Reading the scenario: role, risk, life-cycle stage, and task
- 2.4 Choosing the best answer and eliminating plausible distractors
- 2.5 Multiple-select questions, timing, and final review
Domain I — Foundations of AI Governance
- 3.1 AI systems, models, and the AI life cycle
- 3.2 AI characteristics, risks, and potential harms
- 3.3 Responsible and trustworthy AI principles
- 3.4 Organizational governance, roles, and controls
- 3.5 Domain I review and best-answer drills
Domain II — Laws, Standards, and Frameworks
- 4.1 Existing legal regimes in the AI context
- 4.2 Privacy, data protection, and individual rights
- 4.3 AI-specific regulation and organizational obligations
- 4.4 Global standards and governance frameworks
- 4.5 Domain II review and best-answer drills
Domain III — Governing AI Development
- 5.1 Business context, use cases, and governance by design
- 5.2 Data governance and model development controls
- 5.3 Testing, evaluation, and risk mitigation
- 5.4 Documentation, transparency, and production readiness
- 5.5 Continuous oversight and Domain III best-answer drills
Domain IV — Governing Deployment and Use
- 6.1 Deployment context, objectives, and model selection
- 6.2 Model and deployment architecture choices
- 6.3 Procurement, vendors, and predeployment assessment
- 6.4 Operational governance, monitoring, and incident management
- 6.5 System change, withdrawal, and Domain IV best-answer drills
Cross-Domain Integration and Applied Review
- 7.1 The four-domain and AI life-cycle maps
- 7.2 Laws, standards, frameworks, and risk-control comparisons
- 7.3 Governance and operational checklists
- 7.4 Scenario signals and the final review plan
Accessing and Using the Online Practice Platform
How the guide handles it
AIGP draws readers from very different starting points: privacy and legal backgrounds, technical and product backgrounds, risk and governance backgrounds. Nobody arrives knowing all four domains equally, which is why the guide applies an Exam Lens to every scenario question: identify the role involved, the risk at stake, the lifecycle stage of the AI system, and the governance priority that should win when two answers both look reasonable.
Each domain is covered with original scenario questions mapped back to the Body of Knowledge, and the book closes by pointing to a separate Exam Simulator Platform with 15 full-length practice exams in both Exam Mode and Practice Mode.