Learn
Short, practical learning tracks
5 courses, 30 lessons. Concepts explained plainly, real code where it helps, and a quick quiz to check yourself. Progress is saved in your browser only.
One course is part of the Pro pass, with the first lesson free to read; every other course is free.
Available offline once visited
Continue learning
Free courses
Every lesson, quiz and runnable example, no sign-in.
RAG in 7 lessons
How retrieval-augmented generation actually works end to end - chunking, embeddings, hybrid retrieval, grounded prompting, evaluation, and the failure modes that show up in production but never in a demo.
Prompting that works
A practical, model-agnostic approach to prompt engineering: how to structure a prompt, when examples help, how to get structured output you can parse, how to test a prompt before you ship it, and the cost/latency trade-offs behind your choices.
AWS Lambda for backend devs
The execution model, real quotas, packaging and cold-start trade-offs, deploying with IaC, and how to actually debug a Lambda function in production - written for a backend engineer coming from long-running services.
Kubernetes survival kit
Enough Kubernetes to be dangerous in a good way: the core objects, safe rollouts and rollbacks, debugging the three failures you'll actually hit, config and secrets, and autoscaling including event-driven scaling with KEDA.
Pro courses
Part of the Pro pass, with the first lesson of each free to read. From Rs 199 for 1 year.
The Pro pass opens soon. The first lesson of each is free to read now.
See plansLeading as a GenAI Engineer
Learning notes from a working backend and GenAI engineer (not a manager) on owning AI-assisted work, reviewing code, responsibility for GenAI features, incidents, communication, burnout and leading without a title. Every claim is sourced, and opinions are labelled.
Includes a free preview.
Nothing matches these filters
Try a shorter keyword, or clear the filters to see everything.