AI Agent Engineering

🚀 Build production-ready AI agents from scratch using RAG, MCP, and multi-agent systems. This is a hands-on course where you’ll build real applications—not just learn theory—including an AI agent that chats with your data (PDFs), tool-using agents with APIs, local LLM integrations using Ollama, and MCP-based systems (STDIO + HTTP). You’ll also implement advanced multi-agent workflows. Tech stack includes React, Node.js, LangChain, LangGraph, Pinecone, Ollama, and OpenAI. Designed for students, fresh graduates, and developers entering AI. Includes full source code, reusable templates, and downloadable resources to help you start building real AI systems immediately.

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AI Agent Engineering

Course content

10 sections | 73 lessons

Introduction

Source Code

Downloadables

Module 1 | Intro to AI Agents

Module 2 | Deploy Local LLM (Ollama)

Module 3 | Model Context Protocol (MCP)

Module 4 | Multi-Agent Systems | LangGraph

Module 5 | Multi-Agent Systems | Agent2Agent

Module 6 | Multi-Agent Systems | Career Assistant

Congratulations

AI Agent Engineering

Introduction6 Lessons

Introduction

Source Code1 Lessons

Source Code

Downloadables5 Lessons

Downloadables

Module 1 | Intro to AI Agents13 Lessons

Module 1 | Intro to AI Agents

Module 2 | Deploy Local LLM (Ollama)7 Lessons

Module 2 | Deploy Local LLM (Ollama)

Module 3 | Model Context Protocol (MCP)17 Lessons

Module 3 | Model Context Protocol (MCP)

Module 4 | Multi-Agent Systems | LangGraph8 Lessons

Module 4 | Multi-Agent Systems | LangGraph

Module 5 | Multi-Agent Systems | Agent2Agent9 Lessons

Module 5 | Multi-Agent Systems | Agent2Agent

Module 6 | Multi-Agent Systems | Career Assistant6 Lessons

Module 6 | Multi-Agent Systems | Career Assistant

Congratulations1 Lessons

Congratulations