- Online
- $475
This micro-course can be applied toward the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals and is the introductory level 2 micro-course in the AI and Data Literacy track.
Building on foundational data literacy, this proficiency-level micro-course empowers IT professionals to implement advanced data strategies for AI applications. Develop practical skills in data pipeline design, advanced analytics implementation and data governance while learning to manage complex data workflows that support enterprise AI initiatives.
By the end of this micro-course, you'll be able to:
- Understand how to use and apply APIs in the context of AI
- Use machine learning tools and popular ML platforms to analyze data and generate actionable insights
- Explore common ML techniques, such as clustering, classification, and regression, through accessible platforms
- Interpret results from ML models and communicate them effectively to stakeholders
- Apply ML to real-world analytics challenges, such as forecasting or anomaly detection
Platform and tool selection varies and is regularly updated to reflect current industry trends. Students can expect to interact with:
- Advanced data pipeline tools (Apache Airflow, Azure Data Factory, AWS Glue)
- Enterprise machine learning platforms (Databricks, Azure Machine Learning, AWS SageMaker)
- Data governance platforms (Collibra, Apache Atlas, Microsoft Purview)
- Advanced analytics tools (Python with pandas/scikit-learn, R, Spark)
- API orchestration and integration platforms
- Data security and privacy management tools
Course outline
- Module 1: Applying APIs in Artificial Intelligence
- Module 2: Using Machine Learning Tools and Platforms for Data Analysis
- Module 3: Exploring Machine Learning Techniques: Clustering, Classification, and Regression
- Module 4: Interpreting and Communicating Machine Learning Results
- Module 5: Real-World Applications of Machine Learning: Forecasting and Anomaly Detection
- Mini-Capstone Project
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 and Data Literacy 1: Foundations or equivalent foundational AI knowledge.
This micro-course is highly technical and recommended for students with a technical background.
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.