riversongs Posted May 27 Report Share Posted May 27 Free Download Udemy - Agentic AI Bootcamp with LangGraph,Langchain and MCPPublished 5/2025Created by Rahul RajMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChLevel: Intermediate | Genre: eLearning | Language: English | Duration: 232 Lectures ( 21h 44m ) | Size: 9.7 GBMaster LangGraph & LangChain Agentic AI with MCP, Hugging Face DeploymentWhat you'll learnUnderstand the core concepts of agentic AI and autonomous agentsBuild powerful AI workflows using LangChain and LangGraphDesign and manage multi-agent systems using the MCP protocolImplement memory, state management, and reasoning in agentsUse Cursor and Claude as clients to interact with MCP agentsImplement memory, state management, and reasoning in agentsIntegrate tools, APIs, and language models into agent workflowsDevelop a complete end-to-end AI project from scratchDeploy your agentic AI application to Hugging Face for real-world useRequirementsPythonDescriptionUnlock the future of AI development with this hands-on bootcamp focused on building intelligent, autonomous systems using LangGraph, LangChain, and Multi-Agent Control Protocol (MCP). Whether you're a developer, AI enthusiast, or tech entrepreneur, this course will guide you through creating powerful agentic AI applications from scratch to production deployment.In this course, you'll explore how to architect agent-based systems that reason, plan, and collaborate using LangChain's powerful framework. You'll dive deep into LangGraph, an innovative extension enabling graph-based memory, state transitions, and multi-agent orchestration. Learn how to integrate MCP to control agent behavior, communication, and coordination with real-world use cases.By the end of this bootcamp, you'll build a complete end-to-end agentic AI project and deploy it confidently on Hugging Face, enabling cloud-based inference and real-time interaction.What You'll Learn:Fundamentals of Agentic AI and the LangChain ecosystemBuilding LangGraph-based agents with persistent memory and workflowsUsing MCP for managing complex multi-agent systemsIntegrating APIs, tools, and language models with LangChainFull-stack project development: from local prototyping to Hugging Face deploymentWhy Take This Course?This course blends theory with practical projects, giving you the skills to not only understand but build deployable agentic AI systems. 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