This micro-course can be applied toward the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals and is the mastery level 3 micro-course in the AI Workflow Automation track.
This mastery level micro-course positions IT data professionals as strategic leaders in AI-powered analytics transformation, developing comprehensive analytics strategies and establishing AI analytics governance frameworks that drive organizational intelligence.
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:
- Develop comprehensive enterprise AI analytics strategies and data science roadmaps
- Implement advanced AI model governance and MLOps frameworks
- Lead cross-functional analytics teams and manage data science talent
- Evaluate and integrate cutting-edge AI analytics technologies strategically
- Drive organizational culture change toward data-driven decision making
- Present analytics insights and strategies effectively to executive leadership
Platform and tool selection varies and is regularly updated to reflect current industry trends. Students can expect to interact with:
- Enterprise MLOps platforms (MLflow, Kubeflow, Azure ML Operations)
- Advanced model governance and monitoring tools
- Strategic analytics portfolio management platforms
- Executive analytics dashboard and reporting frameworks
- Innovation lab and emerging AI analytics research tools
Course outline
- Module 1: Enterprise AI analytics strategy and data science leadership
- Module 2: Advanced AI model governance and MLOps implementation
- Module 3: Cross-functional analytics team building and management
- Module 4: Innovation in AI analytics and emerging technologies
- Module 5: Data-driven culture development and organizational change
- Module 6: Executive analytics communication and strategic decision support
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.