AI Diploma Programs
in Quebec

Production-grade retrieval-augmented generation

Navigate AIDA, PIPEDA, and the responsible-AI landscape

Strategy, ROI, and governance for executives

From precision ag to supply-chain forecasting

ML defense, offense, and adversarial robustness

Bring AI into K-12 and post-secondary classrooms responsibly

ML under OSFI guidance and Canadian banking realities

Clinical AI under Health Canada and provincial frameworks

From segmentation to generative creative

Build the conceptual fluency every Canadian professional now needs

Responsible AI inside government

Build and ship AI products users love

Technical and governance approaches to making AI go well

Teach machines to see — from detection to multimodal models

Build assistants that actually help

Statistics, Python, and the modern data stack

From first principles to state-of-the-art architectures

Read, reproduce, and extend frontier AI research

Build LLM-powered products that actually work

From classical algorithms to graph neural networks

Ship production-grade ML systems end-to-end

The operational discipline behind ML that survives contact with users

From classical NLP to modern LLM-based systems

Get reliable, structured output from frontier models

From collaborative filtering to generative recommenders

Agents that learn from interaction

Embodied intelligence: from perception to control

ASR, TTS, and audio understanding

From ARIMA to deep learning forecasters

Make AI systems auditable, fair, and explainable