AI Governance in Practice
Build responsible, audit-ready programs with ISO/IEC 42001, NIST AI RMF, and lifecycle controls
Created by Hemang Doshi
Learn how to turn AI governance principles and global standards into practical, audit-ready programs. You'll get hands-on with risk assessments, lifecycle controls, and documentation to ensure your AI systems are accountable and compliant. Step-by-step guidance and real-world scenarios help you build responsible AI practices from the ground up.
Packt | Sep 2026 | 250 min
What You Will Learn
You'll start by grounding your understanding of responsible AI and key governance frameworks. Then, you'll move through each stage of the AI lifecycle, using templates and scenarios to assess risk, define controls, and document processes. Along the way, you'll learn how to monitor systems, respond to incidents, and prepare for audits with confidence.
Key Features
- Apply leading AI governance frameworks to real organizational challenges
- Conduct structured AI risk and impact assessments with practical tools
- Establish audit-ready controls and documentation for transparency and accountability
Target Audience
This course is ideal for professionals in AI governance, risk, or compliance roles who want to operationalize responsible AI. It's also a great fit for data scientists, ML engineers, auditors, and tech leaders with a basic grasp of AI and risk concepts. If your goal is to build or improve an accountable AI program and prepare for certifications, you'll find practical value here.
