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purnendu-das-in/genai-roadmap-for-juniors

A minimal, beginner-friendly roadmap for juniors and career switchers entering the world of Generative AI.

Jupyter Notebook GitHub ↗
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75
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SUMMARY AI要約 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.

DETECTED 検出されたAIスタック

このRepoのdescription / GitHub topics / READMEのAI要約に出現したAI関連キーワードをカテゴリ別に表示。各バッジは該当カテゴリの詳細ランキングへリンクします。

🧠 LLMプロバイダー (1)
Hugging Face
🌐 Web/アプリフレームワーク (1)
FastAPI

使用言語(バイト数比)

HTML
43.5%
Jupyter Notebook
56.5%

オーナー情報

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purnendu-das-in
タイプ
User
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0

Building GenAI Systems (RAG, Multi-Agent, LLMOps) | Helping devs learn practical AI | 5+ yrs Data Science

日付

GitHub作成日 2026-05-09
最終Push 2026-05-09
当サイト初検出 2026-05-09
最終取得 2026-05-09 18:18

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