All programs
30 six-month diploma programs across 11 disciplines.
AI Engineering with RAG
Production-grade retrieval-augmented generation
AI Ethics and Canadian Policy
Navigate AIDA, PIPEDA, and the responsible-AI landscape
AI for Business Leaders
Strategy, ROI, and governance for executives
AI for Canadian Agriculture
From precision ag to supply-chain forecasting
AI for Cybersecurity
ML defense, offense, and adversarial robustness
AI for Educators
Bring AI into K-12 and post-secondary classrooms responsibly
AI for Financial Services
ML under OSFI guidance and Canadian banking realities
AI for Healthcare in Canada
Clinical AI under Health Canada and provincial frameworks
AI for Marketing and Growth
From segmentation to generative creative
AI Foundations for the Modern Workforce
Build the conceptual fluency every Canadian professional now needs
AI in the Canadian Public Sector
Responsible AI inside government
AI Product Management
Build and ship AI products users love
AI Safety and Alignment
Technical and governance approaches to making AI go well
Computer Vision
Teach machines to see — from detection to multimodal models
Conversational AI Design
Build assistants that actually help
Data Science Fundamentals
Statistics, Python, and the modern data stack
Deep Learning Specialization
From first principles to state-of-the-art architectures
Frontier Models and Research Methods
Read, reproduce, and extend frontier AI research
Generative AI Engineering
Build LLM-powered products that actually work
Graph Machine Learning
From classical algorithms to graph neural networks
Machine Learning Engineering
Ship production-grade ML systems end-to-end
MLOps in Production
The operational discipline behind ML that survives contact with users
Natural Language Processing
From classical NLP to modern LLM-based systems
Prompt Engineering Mastery
Get reliable, structured output from frontier models
Recommender Systems
From collaborative filtering to generative recommenders
Reinforcement Learning
Agents that learn from interaction
Robotics and AI
Embodied intelligence: from perception to control
Speech and Audio AI
ASR, TTS, and audio understanding
Time Series Forecasting with ML
From ARIMA to deep learning forecasters
Trustworthy AI and Explainability
Make AI systems auditable, fair, and explainable