Mastering Autonomous AI Agents with LangGraph Online Course
Mastering Autonomous AI Agents with LangGraph Online Course
This comprehensive online course takes you through the entire process of mastering AI agent development using LangGraph. Starting with an introduction to the course and setting up your environment, you'll learn about AI agents' characteristics and use cases. You'll then build your first AI agent using the OpenAI API, followed by an in-depth exploration of LangGraph's framework. You'll enhance your agent with tools, memory, and interactive features, all while learning through hands-on demos and coding exercises. The course concludes with a capstone project where you'll create a financial report writer agent, integrating all the skills and concepts you've learned. By the end, you'll have practical experience in building autonomous AI agents for real-world applications.
Key Benefits
- Gain a thorough understanding of AI agents and the OpenAI API
- In-depth tutorials on the LangGraph framework, covering essential concepts and techniques
- Practical, hands-on projects that guide you in building and refining AI agents for real-world applications
Target Audience
This course is for technical professionals, software developers, and AI enthusiasts who have a foundational understanding of programming. Prior experience with Python and APIs will be advantageous. Whether you're aiming to expand your skill set or pivot into AI development, this course equips you with the essential tools and knowledge to succeed in the field.
Learning Objectives
- Develop AI agents utilizing the OpenAI API and LangGraph framework
- Implement key agent characteristics and explore practical use cases
- Build interactive agents with memory capabilities for enhanced functionality
- Complete a capstone project by creating a financial report writer agent
- Optimize agent performance and integrate graphical user interface (GUI) elements
- Acquire hands-on experience in developing AI agents for real-world applications
Course Outline
The Mastering Autonomous AI Agents with LangGraph Exam covers the following topics -
Module 1. Introduction
- Overview of the Course
- Course Structure and Setting Up Your OpenAI Account
- Demonstration: What You Will Build in This Course
- Important Announcement
Module 2. Development Environment Setup
- Instructions for Installing Python
Module 3. AI Agents - In-Depth Exploration
- Comprehensive Overview of AI Agents
- Characteristics and Use Cases of AI Agents
- Creating Your First AI Agent - Project Setup (OpenAI API)
- Building Your First AI Agent - Defining the Agent Class and Prompt
- Running Your First AI Agent and Reviewing Results
- Passing Complex Queries through the Agent
- Automating Your First Agent with a Loop
- Enhancing Interactivity in Your Agent - Console Application
Module 4. Building AI Agents with LangGraph - In-Depth Exploration
- Overview of LangGraph and Key Concepts
- How LangGraph Facilitates the Creation of AI Agents
- Core Concepts of LangGraph - Simple Flow Diagram
- LangGraph Data and State Overview
- Building a Simple Agent Using LangChain
- Creating a Basic LangGraph Bot - Streaming Values in a Console Application
- Integrating Tools into Your LangGraph Agent - Part 1
- Using Built-In Tools with LangGraph - Part 2
- Enhancing the Agent’s State with Memory
- Integrating Human-in-the-Loop into Your AI Agent
Module 5. Capstone Project - Developing a Financial Report Writing AI Agent
- Overview of the Financial Report Writer AI Agent
- Setting Up Agent State and Prompts
- Creating Nodes and Functions for the Agent
- Adding Nodes, Edges, and Running the Agent
- Adding a Graphical User Interface to the Agent with Streamlit
- Overview of Optimization Techniques
