Udemy

Generative AI & Agentic AI Bootcamp: LangGraph, MCP, Ollama

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  • 20 名學生
  • 更新於 2/2026
4.7
(04 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
13 小時 33 分鐘
教學語言
英語
授課導師
Aritra Basak
評分
4.7
(04 個評分)
8次瀏覽

課程簡介

Generative AI & Agentic AI Bootcamp: LangGraph, MCP, Ollama

Build AI Agents with Python, LangChain, LangGraph, RAG, MCP, Ollama & OpenAI Agent SDK

Generative & Agentic AI Bootcamp: Build Real AI Agents

What is this course about

The Generative AI & Agentic AI Bootcamp is a complete, hands-on course that teaches you how to design and build real AI agents from scratch using modern frameworks and tools.

You will start by understanding how generative AI systems actually work, from machine learning and deep learning fundamentals to the evolution of modern LLM powered systems.
Then you’ll move step by step into building production style AI agents using LangChain, LangGraph, MCP, Ollama, and the OpenAI Agent SDK.

By the end of this course, you will not just know how to use AI tools, you will understand how agentic AI systems are designed, connected, and deployed in real applications.

What you will learn

  • Foundations of Machine Learning, Deep Learning, and Generative AI

  • How modern LLM and agentic AI systems work internally

  • Build Retrieval-Augmented Generation (RAG) pipelines

  • Develop AI agents using LangChain and LangGraph

  • Design multi step LLM workflows and human in the loop systems

  • Understand Agentic AI architecture and MCP protocol

  • Build MCP servers from scratch using FastMCP

  • Connect and orchestrate multiple AI agents

  • Run and integrate open-source models locally using Ollama

  • Build production ready agents using OpenAI Agent SDK

  • End to end AI agent development with Python

Why this course is unique

Most AI courses either focus only on theory or only on tools.
This course bridges both.

You will first build a strong mental model of generative AI and agentic systems, and then apply that knowledge to real implementations using modern agent frameworks.

What makes this bootcamp different:

  • Covers complete agentic AI stack (LangChain → LangGraph → MCP → OpenAI)

  • Teaches how agents communicate and collaborate

  • Includes MCP server development

  • Uses both cloud and open-source models (Ollama)

  • Focuses on real AI agent architecture — not just demos

  • Designed for practical AI engineering skills

This is a true end to end agentic AI course.

Why you should enroll

AI agents are becoming the next major shift in AI development.
Companies are moving from simple chatbots to autonomous AI systems that can reason, plan, and act.

If you want to stay ahead in AI engineering, learning agentic AI is essential.

This course will help you:

  • Gain practical, job-ready AI agent skills

  • Understand modern AI architecture deeply

  • Build portfolio-ready agent projects

  • Transition into AI / GenAI / Agentic AI roles

  • Confidently design real AI systems

Whether you are a developer, AI engineer, or someone entering the AI field, this bootcamp will give you the skills to build modern AI agents with confidence.

課程章節

  • 7 個章節
  • 78 堂課
  • 第 1 章 Fundamentals of Generative AI [Theory]
  • 第 2 章 Python Essentials to Advanced Concepts
  • 第 3 章 Applied RAG and LangChain for AI Development
  • 第 4 章 Agentic AI Systems with LangGraph
  • 第 5 章 Model Context Protocol (MCP)
  • 第 6 章 Practical Guide to Open Source Models with Ollama
  • 第 7 章 OpenAI Agent SDK

課程內容

  • Build real Generative AI and Agentic AI systems from scratch using Python, Design and develop AI agents using LangChain and LangGraph frameworks, Create Retrieval-Augmented Generation (RAG) pipelines for intelligent AI applications, Understand and implement Agentic AI architecture and MCP protocol, Build and deploy MCP servers using FastMCP for agent communication, Orchestrate multi step LLM workflows and human in the loop AI agents, Run and integrate open source LLMs locally using Ollama, Develop production ready AI agents with the OpenAI Agent SDK, Connect multiple AI agents to collaborate and solve complex tasks, Apply modern AI engineering practices to real world agent projects


評價

  • A
    Anup Kumar Paul
    5.0

    it feels like a friend teaching me . calm, simple, and easy to follow. the way ai and ml are explained step by step is amazing, so i never feel confused or get a headache while watching the video.

  • B
    Bhaswati Guin
    5.0

    Great intro to Generative AI. The explanation were clear and simple.

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