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About AI Engineering: Zero to Production

studybydoing.in is a free, hands-on AI engineering course and curriculum that teaches by building. It covers the full path from Python and computer-science foundations to production AI systems — RAG, AI agents and tool use, evaluation, MLOps, the Anthropic API and Claude, AWS Bedrock/SageMaker, LangChain/LangGraph, multi-agent systems, fine-tuning and inference optimization — across 306 lessons, each with worked exercises and runnable code.

What this is, in one line A free, public, no-signup AI engineering course you learn by doing: every concept is paired with runnable Python you can execute in the browser, and every chapter builds toward real, production-grade systems.

What you'll find here

Our approach

The course is built on one principle: you learn AI engineering by building it, not by reading about it. Every chapter pairs clear explanation with runnable code and graded exercises, from a first API call to a production-hardened agent. Content is written to be honest and practical — techniques are real and public, examples are labelled when they are representative, and code is meant to be run and adapted (see the Terms & disclaimer).

Who it's for

Software engineers, data scientists, and students who want to build production AI systems — whether you're starting from Python basics or already shipping and want depth on RAG, agents, evaluation, and operations.

Access & cost

Everything is free and public — no account, no paywall, no signup. The site is a static, independently-run learning resource. Questions or feedback: support@studybydoing.in.

Start here New? Begin with the course home or the setup guide, then work chapter 1 onward. Prefer to experiment first? Open the Python Playground.
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