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Udemy — AI Agents with LangGraph & MCP: Build RAG & Multi-Agents 2026-10

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Udemy — AI Agents with LangGraph & MCP: Build RAG & Multi-Agents 2026-10 | Free Course Download

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Description

Build Python AI agents that use tools, retrieval and the Model Context Protocol. Vaibhav Kumar Singh covers agent loops, structured outputs, search and RAG, MCP clients and servers, multi-agent design, evaluation and deployment with FastAPI and Docker. The October 2026 course contains 56 lectures across nine sections.

What you will learn

  • Create an agent loop with tool calls and structured outputs.
  • Connect retrieval and MCP tools to an agent.
  • Evaluate and deploy agent workflows.

Course specifications

Publisher
Udemy
Instructors
Vaibhav Kumar Singh
Duration
2h 6m
Lecture count
56
Official Updated
10/2026
Quality
1080p
Edition
2026-10

Course topics

AI & DataVideo TutorialArtificial intelligenceAI agentsRetrieval-augmented generationLangGraphPythonDockerPlan a RAG and LLM evaluation →

A course topics image is not available for this resource.

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Udemy — AI Agents with LangGraph & MCP: Build RAG & Multi-Agents 2026-10
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2026-10 · 1080p

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2026-10 · 1080p

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Size

1.7 GB

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