Move from 'using AI' to 'building with AI'. Hands-on with OpenAI and Anthropic APIs, RAG systems, agents and production React AI applications.
Every developer job posting now asks about AI integration. This isn't about using ChatGPT — it's about building production systems that use LLMs as components.
Over five days you'll build a RAG pipeline, create AI agents with tools, and ship a React application with AI baked in — the portfolio pieces that separate you from every other junior developer.
You need working JavaScript/Python knowledge to get the most from this course. If you can build a basic web app, you're ready.
Mornings are taught sessions, afternoons are hands-on labs where you build something real.
How LLMs work under the hood, how to call them via API, and the architectural patterns for production AI.
Developer-grade prompt engineering — structured outputs, chain-of-thought, function calling, and evaluation.
Retrieval-augmented generation — the pattern behind every serious AI product. Embeddings, vector stores, and retrieval.
Autonomous AI systems that use tools, make decisions, and complete multi-step tasks — the frontier of applied AI.
Ship a real product. React frontend, AI backend, proper UX for streaming responses, and deployment to production.
A working retrieval-augmented generation system over your own data — the architecture behind most enterprise AI.
An autonomous agent that uses multiple tools to complete complex tasks — the cutting-edge portfolio piece.
A deployed, working web application with AI at its core — live URL, GitHub repo, ready for job applications.
Best for: Junior developers · software engineers · freelancers
Learners often combine 2–3 courses to maximise their £1,500 grant.
Five days is all it takes. Reserve your spot on the next cohort.