AI Governance: Risk, Compliance & Responsible AI

About this course

This course contains the use of artificial intelligence.

AI Governance: Risk, Compliance & Responsible AI is a practical course designed to help you understand how organizations can govern artificial intelligence responsibly, safely, and effectively.

As AI becomes part of business processes, customer interactions, software development, HR, decision-making, and everyday employee work, organizations need more than powerful AI tools. They need clear rules, responsibilities, risk controls, oversight, and governance processes.

In this course, you will learn how to design and implement an effective AI Governance framework that connects business strategy, AI risk management, responsible AI, compliance, and practical organizational controls.

You will learn how to:

• Build an AI Governance framework
• Define roles, responsibilities, and decision rights
• Identify, classify, and prioritize AI risks
• Create and maintain an AI Risk Register
• Manage bias, fairness, hallucinations, privacy, and reliability risks
• Establish meaningful human oversight
• Govern AI across the full AI lifecycle
• Manage Generative AI tools such as ChatGPT and CopilotAddress Shadow AI and sensitive data risks
• Govern prompts, outputs, AI agents, and increasing autonomy
• Evaluate third-party AI vendors
• Create practical AI policies and procedures
• Build an AI inventory and prioritize systems by risk
• Define governance metrics and KPIs
• Create an AI Governance RoadmapRespond effectively to AI incidents

You will also explore key standards, frameworks, and regulatory approaches, including:

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