About
Teaching AI from a developer's perspective
Most AI education is written for researchers or complete beginners. ProductionAIEngineer.com is different. It is built for engineers who already ship — backend, full-stack, cloud, DevOps, and data engineers — who want to apply AI in real jobs, build agentic systems, and move into roles like AI Engineer, GenAI Developer, Agentic AI Engineer, and Forward Deployed Engineer.
Why this exists
The gap in the market is not more theory. It is the distance between a working demo and a system that survives real users: retrieval that stays relevant, agents that use tools safely, evals you can trust, plus cost, latency, and deployment. That is production engineering, and it is what actually gets people hired.
What you'll learn
- AI and GenAI fundamentals explained simply, for developers.
- How to build real RAG and agentic AI applications.
- Production practices: evals, tracing, cost, latency, safety, deployment.
- AI engineering workflows used on real projects.
- Interview preparation and portfolio projects that lead to offers.
Who it's for
Backend, full-stack, cloud, DevOps, and data engineers — plus job seekers and working professionals — who already write code and want a clear, practical path into AI engineering. If you want elegant explanations of complex systems and projects you can defend in an interview, you are in the right place.
Who's behind this
Built by Gururaj, an AI developer shipping production GenAI and agentic systems, and the creator of the show Agentic AI with Gururaj. I teach the path I actually use at work — minus anything confidential — so you learn what really ships.
Production AI Notes
One practical AI engineering email each week
One concept, one architecture, one project idea, and one interview question — written for developers who want to build and ship real AI systems.