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Learning Path

Developer to GenAI Engineer

Everything a developer needs to build with generative AI: LLMs, prompting, RAG and agents.

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  1. 1

    Python for AI Engineering

    Python Foundations for AI Engineering

    60 pages
    BeginnerPython

    Everything a working developer needs in Python for AI: environments, NumPy, data pipelines, notebook workflows and the libraries the AI stack actually uses.

    ₹99PreviewBuy Now
  2. 2

    Large Language Models

    LLM Fundamentals: Tokens to Alignment

    50 pages
    IntermediateLarge Language Models

    How large language models really work: tokenisation, pretraining objectives, instruction tuning, RLHF and decoding strategies, explained visually.

    ₹149PreviewBuy Now
  3. 3

    RAG and Vector Databases

    RAG Systems: The Retrieval Blueprint

    55 pages
    AdvancedRAG

    End-to-end retrieval-augmented generation: chunking strategies, embeddings, hybrid search, reranking and evaluation — with full pipeline diagrams.

    ₹199PreviewBuy Now
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From Developer to AI Engineer. Practical handwritten notes for developers mastering AI, GenAI, LLMs, RAG and AI Agents.

priyesh.singh.x7fy@woolf.educationLinkedIn — Priyesh Pratap Singh

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