AIGP.AE1
IAPP® Artificial Intelligence Governance Professional Study Guide
Master AI governance with our comprehensive IAPP AIGP certification training course.
- Practice in 11 Laboratorios prácticos — nothing to install
- 17 Lecciones interactivas y 83 topics mapped to the official exam objectives
- 405 Preguntas del examen de práctica
Expert A tu propio ritmo · 1 año de acceso
11 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
17Lecciones interactivas
83Topics
11Laboratorio en vivo
405Preguntas del examen de práctica
104Tarjetas didácticas
01 / Habilidades que obtendrás
What you will be able to do
Try Free →
No se requiere tarjeta de crédito
This IAPP AIGP certification training course provides a rigorous, technical roadmap for professionals aiming to master AI governance. We bypass fluff, focusing on the 17 core chapters including the EU AI Act, NIST frameworks, and organizational readiness. You will utilize 320 practice quizzes and 104 flashcards to reinforce complex concepts like data lineage and model testing. While this guide is exhaustive, success requires disciplined application of these principles to real-world scenarios. We bridge the gap between theoretical policy and operational deployment, ensuring you are prepared for the 2026 exam objectives. This is the definitive resource for those serious about passing the AIGP exam on their first attempt.
- AI Governance Strategy: Mastery of organizational readiness, cross-functional collaboration, and tailoring governance frameworks to specific business contexts.
- Regulatory Compliance: Expert understanding of the EU AI Act, sectoral laws, intellectual property, and non-discrimination requirements in AI systems.
- Risk Management Frameworks: Proficiency in applying NIST AI RMF, OECD principles, and ISO standards to identify and mitigate systemic AI risks.
- Operational Lifecycle Management: Technical competence in documenting AI lifecycles, managing data provenance, and executing continuous monitoring post-deployment.
Course Highlights
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17 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
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11 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
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405 Preguntas de práctica Pruebas de evaluación con justificaciones de respuesta detalladas
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1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
17 Lecciones interactivas · 83 topics01 Introduction 5 topics +
- Certification Requirements
- The AIGP Exam
- After the AIGP Exam
- Study Guide Elements
- AIGP Exam Objectives
02 AI and AI Governance 6 topics · 2 Laboratorio en vivo +
- The Types of AI
- Risks and Harms Posed by AI
- Characteristics of AI Requiring Governance
- Principles of Responsible AI
- Summary
- Exam Essentials
2 Laboratorio en vivo in this lesson — see the labs panel →
03 Organizational Readiness 7 topics · 2 Laboratorio en vivo +
- Roles and Responsibilities for AI Governance Stakeholders
- Cross-functional Collaboration in the AI Governance Program
- Training and Awareness Program on AI Terminology, Strategy, and Governance
- Tailoring AI Governance to Organizational Context
- Developers, Deployers, and Users in AI Governance
- Summary
- Exam Essentials
2 Laboratorio en vivo in this lesson — see the labs panel →
04 Updating Policies for AI 5 topics · 1 Laboratorio en vivo +
- Oversight in the Age of Autonomous Decision-making
- Evaluate and Update Existing Data Privacy and Security Policies for AI
- Policies to Manage Third-party Risk
- Summary
- Exam Essentials
1 Laboratorio en vivo in this lesson — see the labs panel →
05 Privacy and Data Protection Law 7 topics +
- Notice, Choice, Consent, and Purpose Limitation in AI
- Data Minimization and Privacy by Design in AI
- Practical Implications and Governance
- Data Controller Obligations in the AI Context
- Understanding the Requirements That Apply to Sensitive or Special Categories of Data
- Summary
- Exam Essentials
06 Sectoral and Civil Laws 6 topics · 1 Laboratorio en vivo +
- Intellectual Property Laws and AI
- Non-discrimination Laws and AI
- How Consumer Protection Laws Apply to AI
- How Product Liability Laws Apply to AI
- Summary
- Exam Essentials
1 Laboratorio en vivo in this lesson — see the labs panel →
07 The EU AI Act 8 topics · 1 Laboratorio en vivo +
- Risk Classification
- Classification Requirements
- Requirements for General-purpose AI
- Enforcement and Penalties
- Organizational Context
- EU AI Act Implementation
- Summary
- Exam Essentials
1 Laboratorio en vivo in this lesson — see the labs panel →
08 AI Standards and Frameworks 7 topics · 1 Laboratorio en vivo +
- OECD Principles
- NIST AI Risk Management Framework (AI RMF)
- NIST ARIA: Layered AI Model Evaluation
- ISO Standards
- Other AI-related Standards
- Summary
- Exam Essentials
1 Laboratorio en vivo in this lesson — see the labs panel →
09 AI System Design 8 topics +
- Documenting the Lifecycle
- Business Context and Use Cases
- Impact Assessments
- AI System Design Considerations
- Identifying and Managing Design Risks
- Proprietary Model Considerations
- Summary
- Exam Essentials
10 Data Governance and Model Training 6 topics +
- Data Governance
- Data Lineage and Provenance
- AI System Testing
- Identifying and Managing Testing Risks
- Summary
- Exam Essentials
11 Deployment and Monitoring 5 topics +
- Pre-release Readiness
- Deployment Considerations
- Continuous Monitoring
- Summary
- Exam Essentials
12 AI Risk Management and Assurance 5 topics · 1 Laboratorio en vivo +
- AI Risk Management and Forecasting
- AI System Audits and Testing
- Incident Management and Disclosures
- Summary
- Exam Essentials
1 Laboratorio en vivo in this lesson — see the labs panel →
13 Ongoing AI Operations 5 topics · 2 Laboratorio en vivo +
- Managing Business Records
- External Communications
- AI System Retirement
- Summary
- Exam Essentials
2 Laboratorio en vivo in this lesson — see the labs panel →
14 Appendix: February 2026 Supplement to IAPP AIGP Study Guide 3 topics +
- Executive Summary
- Introduction
- Lesson 2: Organizational Readiness
15 FlashCards +
16 Test1 +
17 Test2 +
Laboratorios prácticos Our edge
11 Laboratorio en vivos- Evaluating AI Explainability with SHAP
- Assessing AI Risks and Responsible AI Principles
- Building an AI Governance Responsibility Matrix
- Performing an AI Governance Gap Assessment
- Assessing Third-Party AI and Vendor Risk
- Evaluating Legal and Civil Risks in AI Use Cases
- Classifying AI Systems Under the EU AI Act
- Applying the NIST AI Risk Management Framework
- Investigating and Responding to an AI Incident
- Capstone: Governing an AI System Across Its Lifecycle
- Retiring an AI System Responsibly
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.
03 / Preguntas frecuentes
Preguntas antes de empezar
Is the IAPP AIGP certification worth it for my career?+
As AI regulation intensifies, the AIGP credential validates your ability to manage legal and ethical risks, making you indispensable to organizations deploying AI.
How does this study guide differ from official IAPP materials?+
This guide synthesizes the 17 chapters into actionable study paths, providing 320 practice questions and 104 flashcards to simulate actual exam conditions.
What is the best way to study for the AIGP exam?+
Focus on the intersection of policy and technical implementation. Use our practice tests to identify knowledge gaps in the EU AI Act and NIST frameworks.
Does this course cover the 2026 exam updates?+
Yes, our guide includes the February 2026 supplement, ensuring you are prepared for the latest organizational readiness and governance requirements.
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Prepare for the IAPP AIGP Exam
Build practical AI governance skills and prepare confidently for the AIGP certification exam.
- 1 año de acceso completo
- 11 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito