This micro-course can be applied toward the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals and is the the proficiency level 2 micro-course in the AI Workflow Automation track. Note: There is no introductory level 1 course in this track.
This proficiency level micro-course empowers IT professionals to design, implement and manage comprehensive AI-powered analytics solutions. Build on your analytics knowledge as you develop practical skills in AI analytics platform architectures, machine learning pipelines, advanced statistical modeling and analytics implementation.
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 deploy comprehensive AI analytics platform architectures
- Develop and manage end-to-end machine learning pipelines
- Implement real-time analytics solutions for streaming data processing
- Apply advanced statistical modeling techniques enhanced by AI capabilities
- Integrate AI analytics solutions with existing business intelligence infrastructure
- Optimize analytics platform performance and plan for enterprise scalability
Platform and tool selection varies and is regularly updated to reflect current industry trends. Students can expect to interact with:
- Advanced analytics platforms (Databricks, Azure Machine Learning, AWS SageMaker)
- ML pipeline orchestration tools (Apache Airflow, Kubeflow)
- Real-time processing frameworks (Apache Kafka, Azure Stream Analytics)
- Advanced statistical software (R, Python with scikit-learn, TensorFlow)
- Enterprise data integration and ETL tools
Course outline
- Module 1: Advanced AI analytics platform design and architecture
- Module 2: Machine learning pipeline development and management
- Module 3: Real-time analytics and streaming data processing
- Module 4: Advanced statistical modeling with AI enhancement
- Module 5: Integration with business intelligence and data warehouses
- Module 6: Performance optimization and scalability planning
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.