💸 Enjoy 10% off when you spend over $50 — discount applied automatically at checkout!
Open menu
The cart is empty

2026 GARP Risk & AI (RAI) Course Material & Practice Exam

$34.99

+
The add to cart button will appear once you select the values above

For Sale: 2026 GARP Risk & AI (RAI) Course Material & Practice Exam

Includes:

Official RAI Exam eBook
Covers key modules:

  • History and Overview of AI Concepts

  • AI Tools and Techniques

  • Risks and Risk Factors

  • Responsible and Ethical AI

  • Data and AI Model Governance

RAI Video Content - Covers the Modules, and are in mp4 format
Note: Most videos have not been updated by GARP since 2024, so many are labeled 2024, with some updated to 2026.

Practice Exam

  • Includes 40 practice questions with answers, provided in separate files so you can attempt the questions independently before reviewing the solutions — ideal for self-assessment and exam preparation.

This is not a physical book it is a PDF digital copy with Video files. Please do not purchase if you want a physical hard copy. After checkout you can download the files immediately.

 

2026 GARP Risk & AI (RAI) Course Material & Practice Exam

Developed by world-leading AI experts and senior risk practitioners, GARP’s RAI Certificate provides comprehensive coverage of relevant tools and techniques including generative AI, AI risks and risk factors, responsible and ethical AI, and governance frameworks for ensuring AI is deployed effectively and responsibly within organizations.

The RAI Certificate Program and Exam will cover the following topics:

  • AI and Risk: Intro and Overview

  • Tools and Techniques

  • Risks and Risk Factors

  • Responsible and Ethical AI

  • Data and AI Model Governance

The curriculum also includes practical case studies and practitioner perspective videos that illustrate real-world applications of AI.

The RAI Exam tests a broad range of topics, including the evolution of AI/ML methodologies, knowledge of current tools and techniques for leveraging AI in support of business decision-making, the potential risks that arise through its use, and governance frameworks to mitigate exposure and ensure AI is deployed responsibly within an organization.