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Generative AI & Agentic AI Bootcamp: LangGraph, MCP, Ollama
68 students
Generative AI & Agentic AI Bootcamp: LangGraph, MCP, Ollama
Build AI Agents with Python, LangChain, LangGraph, RAG, MCP, Ollama & OpenAI Agent SDK
Created byAritra Basak
Last updated 2/2026
English
What you'll learn
- 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
Explore related topics
Course content
7 sections • 78 lectures • 13h 33m total length
Requirements
- No prior coding or AI experience required
- An open mindset and curiosity to learn about AI, machine learning, Generative AI and modern tools.
- A computer capable of running Python and installing AI libraries
- An OpenAI API key (paid) for building and testing OpenAI based AI agents
Description
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.
Who this course is for:
- Developers who want to build real Generative AI and AI Agent applications
- Python programmers interested in LangChain, LangGraph, and modern AI frameworks
- AI engineers and ML practitioners moving into Agentic AI systems
- Software engineers who want to integrate LLMs and AI agents into products
- Tech professionals exploring the future of autonomous AI systems
- Students and beginners with basic Python who want to enter the AI field
- Anyone who wants practical, hands-on experience building AI agents