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 Copilot
Address 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 Roadmap
Respond effectively to AI incidents
You will also explore key standards, frameworks, and regulatory approaches, including:
EU AI Act
ISO/IEC 42001
NIST AI Risk Management Framework
Risk-based classification of AI systems
Governance documentation and evidence
The course includes practical case studies covering:
Internal AI assistants
AI in recruitment and HR
AI-powered customer support
AI in software development
High-risk AI decision-making
Third-party AI vendors
AI incident response
You will also take part in a practical role-play scenario where you act as an AI Governance Lead and make governance decisions in a realistic organizational situation.
By the end of the course, you will understand how to move from high-level AI principles to a practical governance model that can be used in a real organization.
This course is ideal for professionals working in:
AI Governance
Risk Management
Compliance
Legal
IT and Information Security
Product Management
AI Strategy
Data and Analytics
Responsible AI
Business Leadership
No advanced technical or programming background is required.
If you want to understand how organizations can use AI responsibly while balancing innovation, risk, compliance, and business value, this course is for you.
