Mastering Autonomous AI Agents with LangGraph Online Course

Mastering Autonomous AI Agents with LangGraph Online Course

Take a deep dive into AI agent development with this comprehensive course. You’ll start by setting up your development environment and exploring the fundamentals—what AI agents are, their key characteristics, and practical use cases. From there, you’ll build your first AI agent using the OpenAI API through clear, step-by-step demonstrations. The course then introduces the powerful LangGraph framework, showing how it simplifies agent creation. You’ll practice by building a simple agent, then gradually enhance it with tools, memory, and interactive features. Learning is reinforced through hands-on demos and coding sessions focused on real-world applications. The journey concludes with a capstone project: creating a sophisticated AI financial report writer agent. In this project, you’ll integrate everything learned—defining agent states and prompts, adding functional nodes, optimizing performance, and building a user-friendly interface. By the end, you’ll not only understand AI agent development in depth but also have practical experience building agents ready for real-world tasks.

Who should take this course?

This course is ideal for developers, AI enthusiasts, and tech professionals who want to gain hands-on experience in building autonomous AI agents. It’s best suited for those with a basic understanding of Python and AI concepts who are eager to explore advanced frameworks like LangGraph for creating intelligent, interactive, and task-driven agents. Whether you’re a software engineer expanding into AI, a researcher exploring agent-based systems, or a professional looking to apply AI automation to real-world projects, this course will equip you with the practical skills to design and deploy powerful autonomous agents.

What you will learn

• Develop AI agents using OpenAI API and LangGraph
• Implement agent characteristics and use cases
• Build interactive and memory-capable agents
• Create a financial report writer agent as a capstone project
• Optimize agent performance and add GUI elements
• Gain practical experience with real-world applications

Course Outline

Introduction

• Introduction
• Course Structure and the OpenAI Account
• Demo - What Will You Build in This Course
• Important Message

Development Environment Setup

• OPTIONAL - Python Installation Instructions

AI Agents - Deep Dive

• AI Agents Deep Dive - A Full Overview
• Agents Characteristics and Use Cases
• Building our First AI Agent - Project Setup (OpenAI API)
• Build our First AI Agent - Creating the Agent Class and Prompt
• First AI Agent - Running our First Agent and Seeing the Results
• Passing Complex Queries Through the Agent
• First Agent - Using a Loop to Automate our Agent
• Adding Interactive to Our Agent - Console App
• Section Summary

Build AI Agents with LangGraph - Deep Dive

• LangGraph - Overview & Key Concepts
• How LangGraph Helps to Build AI Agents
• LangGraph Core Concepts - Simple Flow Diagram
• LangGraph - Data and State - Overview
• Building a Simple Agent with LangChain
• LangGraph Simple Bot - Streaming Values - Console App
• Adding Tools to our Basic LangGraph Agent
• Adding tools to the Agent - Part 1
• Adding Tools to the Agent - Using Built-in Tools - Part 2
• Adding Memory to Our Agent State
• Adding Human-in-the-loop to the AI Agent
• Section Summary

Capstone Project - Build a Financial Report Writer AI Agent

• AI Financial Report Writer Agent - Overview
• Agent State and Prompts Setup
• Creating All Nodes - Functions
• Adding Nodes and Edges and Running our Agent
• Adding a GUI to the Agent with Streamlit
• Optimization Techniques - Overview
• Course Summary

Wrap up

• Next Steps