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    Generative AI Engineering: LLMs, RAG, and Agentic Systems By Rajeev Sakhuja

    Rajeev Sakhuja

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    Generative AI · Online Course

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    Generative AI Engineering: LLMs, RAG, and Agentic Systems · Program

    About this program

    Generative AI Engineering: LLMs, RAG, and Agentic Systems

    Online Course

    Learning format

    Generative AI

    Subcategory

    English

    Course language

    $59.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    Official program page

    What you'll learn in Generative AI Engineering: LLMs, RAG, and Agentic Systems

    • Master Generative AI foundations, how LLMs work, and how modern AI systems are designed and applied in real-world products.
    • Design and build end-to-end Generative AI systems using LLMs, retrieval pipelines, tools, and agentic workflows.
    • Implement Retrieval-Augmented Generation (RAG), embeddings, vector search, reranking, and advanced retrieval patterns.
    • Build AI agents, multi-step reasoning systems, and multi-agent workflows using LangChain and LangGraph.
    • Develop production-style applications with structured outputs, validation, memory, and human-in-the-loop workflows.
    • Create MCP servers and clients to connect LLMs to real tools, services, and enterprise systems.
    • Fine-tune and optimize models using Hugging Face workflows, dataset preparation, and quantization techniques.
    • Apply system-level best practices for cost, reliability, scalability, and responsible deployment of GenAI applications.

    What's Included in Generative AI Engineering: LLMs, RAG, and Agentic Systems

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