Practical AI engineering
Learn how AI systems actually get built — from first principles to production.
Topics
- Harness Engineering with Code Agents
Build the environment around a coding agent (context, constraints, capabilities and feedback loops) so it ships reliable software, not plausible guesses.
- RAG in production
Retrieval-augmented generation, beyond the demo.
- LLM gateways: managing token quotas
Keeping model costs and quotas under control.
- The Transformer architecture: a deep dive
Inside the model behind it all.
- Building an autonomous agent with Google's ADK
An agent that plans and acts on its own, built with Google's ADK.