Course Description

The Professional Certificate in AI Governance and Compliance is a comprehensive program designed to equip professionals with the knowledge and skills to navigate the complexities of artificial intelligence (AI) and generative AI (GenAI) systems, ensuring they are trustworthy, ethical, and compliant with legal standards.

The program is structured into three modules:

(1) Demystifying AI and genAI and Building Trustworthy Systems, which introduces participants to the fundamentals of AI, the importance of a well-defined AI strategy, and the principles of trustworthy systems such as transparency, accountability, reliability, fairness, safety, and privacy;

(2) AI Governance Frameworks, which examines various AI governance frameworks like the OECD Principles on AI and the NIST AI Risk Management Framework, and teaches participants how to develop and implement an AI governance framework tailored to an organization's needs; and

(3) Legal and Ethical Considerations, which focuses on the ethical and legal aspects of AI, exploring strategies for addressing bias and discrimination, and examining legal frameworks governing AI.

Throughout the program, participants engage in discussions, case studies, and practical exercises, culminating in a capstone project that demonstrates their ability to develop and govern an AI project that is ethical, legally compliant, and aligned with best practices in AI governance.



Course Objectives

By the end of the program, participants will be able to:

1.Explain the basics of AI and genAI, including the purpose and use of AI and GenAI, the components of an AI and GenAI solution, the input and data dependencies, and associated performance metrics.  Define the use of AI and GenAI in real-world scenarios and use cases, and develop a clear strategy for effective use and implementation of AI ethically and effectively.

2.Identify key principles for building trustworthy AI systems, such as fairness, privacy, and reliability, and apply them to manage challenges in AI development and maintenance

3.Discuss leading different AI governance, risk, and compliance frameworks and choose the most suitable one for a specific organizational context, understanding its role in guiding AI implementation and operations.

4.Develop a practical AI governance plan that includes steps for planning, implementation, monitoring, and compliance checks, and critically assess its effectiveness in real-world scenarios.

5.Describe ethical issues in AI, such as bias, and develop actionable strategies to address these issues in AI projects, ensuring ethical AI practices.

6. Apply legal and regulatory knowledge to AI projects, ensuring compliance with data protection laws and regulations, and understand the importance of aligning AI practices with legal and ethical standards

Applies Towards the Following Certificates

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Sep 30, 2024 to Nov 10, 2024
Contact Hours
Course Tuition
Tuition non-credit $2,995.00
Section Notes



Self-directed Learning Plus (SDL+)


Designed  to maximize flexibility for your weekly learning schedule, while also providing opportunities for real-time engagement and networking with our faculty and other professional learners.

There is a required Zoom class session each week -

Tuesdays, 6:00 -8:00 pm ET

Professional learners who cannot attend the class session will have the opportunity to satisfy the course requirement by making arrangements with the instructor, watching the recorded video, and responding to discussion questions.

Each course module will have assignment and assessment deadlines to support students in progressing in a timely manner to the successful completion of the certificate Offered in small class sizes (< 24) to provide quality instructional and social interactions with the instructor and other students.


All course materials are included with the price of tuition.

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