This micro-course can be applied toward the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals and is the proficiency level 2 micro-course in the AI Governance and Policy track.
Building on foundational AI governance knowledge, this proficiency level micro-course empowers IT professionals to design, implement and manage comprehensive AI governance frameworks, risk management strategies and monitoring systems that balance innovation with responsible, ethical AI deployment.
This proficiency level micro-course equips IT professionals with the skills to address the complex challenges of governing AI at scale. Learn how to design, establish and manage enterprise-wide governance frameworks, risk management practices and monitoring systems that balance innovation with responsible, ethical AI deployment.
This micro-course is designed for IT professionals in managerial, project management, technical and leadership roles.
By the end of this course, you will be able to:
- Design and implement comprehensive AI governance frameworks for enterprise environments
- Manage AI model lifecycle governance and implement MLOps compliance protocols
- Deploy automated compliance monitoring systems and generate governance reports
- Develop advanced risk management strategies and incident response procedures
- Standardize governance across multiple AI platforms and integrate with existing frameworks
- Manage vendor relationships and ensure third-party AI compliance
Platform and tool selection varies and is regularly updated to reflect current industry trends. Students can expect to interact with:
- Enterprise governance, risk, and compliance (GRC) platforms
- MLOps governance and model monitoring tools
- Automated compliance testing and reporting systems
- Advanced risk assessment and incident management platforms
- Vendor management and third-party assessment tools
Course outline
- Module 1: Advanced AI governance framework design and implementation
- Module 2: AI model lifecycle management and MLOps governance
- Module 3: Automated compliance monitoring and reporting
- Module 4: Advanced risk management and incident response
- Module 5: Cross-platform integration and governance standardization
- Module 6: Vendor management and third-party AI governance
The course outline may be subject to change as AI evolves and the course is updated to reflect the latest content.
How am I assessed?
You will be assessed on successfully completing weekly activities, including exercises, quizzes, applied case study projects (based on real-life scenarios) and your contributions to discussion posts. These activities are marked using a proficiency scale, and your instructor provides you informal feedback during live online sessions.
While you are not assessed on your attendance of the live online sessions, we encourage you to attend so you can learn and interact with your instructor and other participants. All sessions are recorded in case you miss one.
This micro-course operates on a pass/fail basis. You must achieve an overall grade of 70% or greater to pass and be eligible to earn the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals.
Expected effort
Expect to spend approximately 14 hours per week per course completing all learning activities, including attending live sessions online.
Requisites
Recommend completion of AI Foundations 1: Concepts and Tools equivalent foundational AI knowledge.
Course format
This 100% online part-time program consists of instructor-supported real-time classes combined with independent study.
Each micro-course will consist of a weekly virtual class taught by subject matter experts and a high degree of personal engagement and interactivity. Outside of class, you can access online materials on your own time.
One business day before the micro-course start date, we'll email you step-by-step instructions for accessing your micro-course.