YATVIKIT was built around a simple observation: most data science courses teach concepts in isolation, and students graduate knowing the theory but unable to ship anything real. We flipped the model — every phase of our curriculum ends with a working project, so by the time you reach the capstone, you already have a portfolio of 50+ builds behind you.
Our programs are designed for B.Tech students — CSE, DS, AI&ML, IoT, ECE and EEE — from second year onward, as well as fresh graduates and working professionals looking to move into AI. No prior AI experience is required; we start from Python fundamentals and build up, step by step, to autonomous multi-agent systems, RAG pipelines, and cloud-deployed production applications.
Every topic is anchored to a real build — a CLI tool, a RAG pipeline, a deployed agent — so understanding is proven by output, not by a quiz score.
Weekly assessments, mock interviews, and a GitHub portfolio are built into the program — not bolted on at the end.
We teach the same stack real AI teams use — FastAPI, Docker, LangGraph, vector databases — so what you learn transfers directly to the job.
Explore our programs or register directly — admissions are open for the next batch.