Course catalogue
37 courses, each with a University track and a Professional track, hands-on labs, module exercises, quizzes and a certifying exam.
AI Engineering: LLMs, RAG & Agents
Architect, evaluate, and deploy scalable LLM systems, dense retrieval pipelines, and autonomous agentic workflows.
Deep Learning & Neural Networks
Master deep neural architectures, exact gradient backpropagation calculus, and production PyTorch systems.
Full-Stack Web Development
Architect scalable, standards-compliant web applications from network primitives to modern distributed frontends.
Machine Learning Engineering
Architect, deploy, and monitor scalable machine learning systems with mathematical rigor and production engineering.
Python Programming
Master Python through formal computation models, memory architecture, idiomatic design, and production workflows.
Software Engineering
Master formal software specifications, architectural patterns, and production-grade CI/CD lifecycles.