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From foundations to expert
A comprehensive curriculum covering everything from AI foundations to advanced agentic systems, MCP integration, and security. Built for practitioners who want to build real AI systems.
Choose a track and jump straight to the lesson map and practical route.
Understanding what AI truly is, how models work, and the landscape of modern AI systems.
The art and science of communicating effectively with AI models to get reliable, high-quality outputs.
Building autonomous AI systems that can reason, plan, and take actions using external tools.
The emerging standard for connecting AI to external systems, tools, and data sources securely.
Orchestrating multiple AI agents to solve complex problems through collaboration and specialisation.
Production-ready patterns for building AI systems at scale: RAG, routers, reflection, and more.
Critical security considerations: prompt injection, jailbreaking, data leakage, and defence strategies.
Stay ahead with the latest: fine-tuning, RLHF, multimodal AI, and emerging research directions.
Follow this progression for a structured learning experience from beginner to expert.