purnendu-das-in/genai-roadmap-for-juniors
A minimal, beginner-friendly roadmap for juniors and career switchers entering the world of Generative AI.
SUMMARY AI summary by gpt-5-mini
A practical, staged roadmap for becoming a full‑stack GenAI developer in 2026, aimed at freshers, juniors, students, and professionals switching into GenAI. It sequences essential skills (no marathon theory) from setup and Python basics through ML, deep learning, transformers, LLMs, prompt engineering, RAG, agents, fine‑tuning, deployment, and responsible AI. Includes a hands‑on Colab notebook (9 sections, ~6 hours), mini‑projects for each stage, and an interview hiring bar listing six demonstrable capabilities (software foundations, LLM APIs, RAG, agents/tools, production habits, interview clarity). Provides timeboxing advice, recommended tools (PyTorch, FastAPI, Hugging Face), and portfolio guidance. Live site and example notebooks available.
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Owner
Building GenAI Systems (RAG, Multi-Agent, LLMOps) | Helping devs learn practical AI | 5+ yrs Data Science
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:18 |
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