Overview
In today’s world of fast-moving AI, governance matters more than ever. The AIGP certification gives you the tools to confidently guide the responsible use of artificial intelligence in business and public settings. Designed for professionals stepping into AI strategy, policy, or oversight—even with no technical background—this course explores how to align AI systems with ethics, laws, and business goals.​
​
Whether you’re in legal, compliance, data governance, or looking to future-proof your career, AIGP helps you speak the language of AI risk and governance. You'll walk away with a clear understanding of the lifecycle of AI systems and how to manage them responsibly.
Start your career in AI governance with practical skills that matter. No coding required—just your curiosity and commitment.
Prerequisites
This course is designed for beginners and career switchers. No previous experience in AI, privacy, or cybersecurity is required. Ideal for:​
​
-
Legal, risk, and compliance professionals
-
Data governance and policy specialists
-
Project managers and analysts
-
HR or communications leads involved in AI-related work
Learning Outcomes
By the end of this course, you will:
✅ Understand the principles and frameworks of AI governance
✅ Identify ethical risks and compliance challenges in AI systems
✅ Apply risk mitigation strategies throughout the AI lifecycle
✅ Recognize the role of human oversight, bias, transparency, and accountability
✅ Communicate effectively with technical and non-technical stakeholders about AI governance
Course Outline
Module 1: Understanding the Foundations of AI Governance​
​
-
Comprehend what AI is and why it requires governance.
-
Recognize the importance of responsible AI practices.​
​
Module 2: Understanding the AI Development Lifecycle​
​
-
Familiarize yourself with the stages of AI development from conception to deployment.
-
Identify key stakeholders and their roles in the AI lifecycle.
​
Module 3: Understanding Emerging AI Laws and Regulations​
​
-
Stay informed about current and forthcoming AI-related laws.
-
Understand compliance requirements across different jurisdictions.
​
Module 4: Implementing AI Governance and Risk Management​
​
-
Develop strategies for effective AI governance frameworks.
-
Apply risk management principles to mitigate AI-related risks.
​
Module 5: Addressing Ongoing AI Governance Issues​
​
-
Engage with evolving challenges in AI governance.
-
Adapt governance strategies to address new AI developments.
