KGP Talkie | Laxmi Kant

    MCP Mastery: Build AI Apps with Claude, LangChain and Ollama

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    Claude AI · Online Course

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    This comprehensive masterclass on Model Context Protocol (MCP) bridges the gap between raw LLMs and dynamic, real-world utility. Spearheaded by Laxmi Kant from KGP Talkie, the course offers an exhaustive, hands-on deep dive into constructing high-performance AI agents and custom servers from the ground up. Developers will master the art of extending Claude's capabilities, enabling local execution with Ollama, and structuring production-grade orchestration using LangChain v1 and LangGraph v1. Throughout the curriculum, you will build state-of-the-art MCP clients and servers, integrating them seamlessly with Python-based Streamlit interfaces and local vector databases like ChromaDB. Whether you are aiming to construct autonomous retrieval-augmented generation (RAG) pipelines or deploy resilient agentic workflows that securely consume external APIs, this course delivers the precise architectural patterns you need. It is perfectly tailored for software engineers, AI developers, and technical architects who want to break free from closed ecosystems and build highly adaptable, secure, and production-ready local AI applications using open-source tools and cutting-edge protocol design.

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    KGP Talkie | Laxmi Kant

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    Laxmi Kant, widely recognized online as the creator of KGP Talkie, is an experienced educator and software engineer specializing in artificial intelligence, machine learning, and modern backend integration. With a passion for demystifying cutting-edge technology, Laxmi focuses heavily on practical, hands-on tutorials that bridge the gap between academic theory and deployment-ready software. His teaching methodology revolves around building real-world projects, which is evident in his extensive curriculum covering LangChain, LangGraph, Ollama, FastAPI, and Model Context Protocol. Laxmi believes that the best way to master artificial intelligence is through direct implementation. He guides students through the step-by-step process of designing private…Show more

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    Program Overview

    Online Course

    Learning format

    Claude AI

    Subcategory

    $19.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Architect and implement custom Model Context Protocol (MCP) servers in Python to expose local databases, custom APIs, and system resources to LLMs.
    • Configure and orchestrate complex multi-agent workflows using LangChain v1 and LangGraph v1 for reliable, stateful task execution.
    • Build and deploy custom MCP clients that connect directly with Claude Desktop and locally run models via Ollama.
    • Design and integrate advanced Retrieval-Augmented Generation (RAG) pipelines using ChromaDB for intelligent, contextual document retrieval.
    • Develop interactive web user interfaces for your custom AI applications using Streamlit, enabling seamless user-agent interaction.
    • Implement robust security, authentication, testing, and error-handling mechanisms inside your custom MCP server environments.
    • Deploy production-ready MCP configurations to cloud-based platforms while ensuring local data privacy standards.

    Best For

    • Python developers looking to integrate local data and APIs directly into Claude AI workflows.
    • AI engineers aiming to move beyond basic RAG by mastering the Model Context Protocol.
    • Software architects interested in building modular, local-first agentic systems using LangGraph.
    • Technical professionals who want to leverage open-source models via Ollama for private, secure applications.

    Not For

    • Complete beginners to programming who lack experience with Python or foundational LLM concepts.
    • Individuals seeking a non-technical, high-level overview of AI without hands-on coding or implementation.
    • Developers focused strictly on proprietary cloud-only ecosystems who have no interest in local model execution or custom server orchestration.

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