GenAI engineer roadmap 2026 for Indian students
On the mic Originally published at https://pranjulrathour.scult.in/blog/genai-engineer-roadmap-2026-india . That copy is the canonical version and gets updates first. Every roadmap for AI careers I see is a wall of forty technologies. Students screenshot it and freeze. The roadmap that got me from a BCA classroom in Kanpur to building production AI systems had five stages and one rule: at every stage, ship something you can show. Here is the twelve-month version I give students who ask. Months 1–2: Python, APIs and one deployed app Python well enough to read library code. HTTP, JSON and calling an LLM API. Then a small web app with FastAPI and a front end, deployed with a URL. Not an AI app yet — a working one. This is the floor everything else stands on. At the VSICS podium, Kanpur Months 3–4: a RAG project with evaluation Chunking, embeddings, hybrid retrieval, citations and a confidence threshold, over a corpus you care about — the college-documents project is ideal. Write a ...