Udemy
Master AI Agent Development: LangChain, OpenAI, Ollama, MCP
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
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 FastMCPConnect and orchestrate multiple AI agents
Run and integrate open-source models locally using Ollama
Build production ready agents using OpenAI Agent SDKEnd 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:
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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