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Coursera

Building Autonomous AI Agents with LangGraph

Packt via Coursera

Overview

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Unlock the potential of autonomous AI agents with LangGraph in this comprehensive course. Designed for developers and AI enthusiasts, you’ll learn to build intelligent, adaptive agents capable of processing complex queries, maintaining state, and integrating human feedback for enhanced decision-making. By the end of this course, you'll have a hands-on understanding of AI agent architecture, key frameworks, and real-world applications. The journey begins with an introduction to AI agents, setting up your environment, and a demo of what you’ll achieve. Next, dive deep into AI agents’ functionality as you build your first agent using the OpenAI API. Experience practical examples of automation, interactivity, and complex query processing to enhance your agent’s capabilities. In the LangGraph module, you’ll explore the framework’s core concepts, from state management to tool integration. You’ll learn to add memory, human-in-the-loop mechanisms, and graphical interfaces for comprehensive AI solutions. The course culminates with a capstone project where you’ll develop an AI financial report writer agent, showcasing your mastery of LangGraph. This course is ideal for intermediate developers with basic Python knowledge looking to advance their AI expertise. Whether you’re building tools for automation or exploring new AI paradigms, this course will elevate your skills and set you apart in the AI landscape.

Syllabus

  • Introduction
    • In this module, we will establish a solid foundation for the journey ahead by outlining the course’s goals, structure, and prerequisites. You’ll also gain an overview of the exciting tools and projects you’ll create, ensuring you’re well-prepared and motivated to dive deeper into autonomous AI agents.
  • Development Environment Setup
    • In this module, we will focus on setting up your development environment, starting with an optional step-by-step guide to installing Python. By the end of this section, you’ll be equipped with the essential tools to begin working on autonomous AI agent development.
  • AI Agents - Deep Dive
    • In this module, we will delve into the core concepts and practical applications of AI agents. You’ll gain hands-on experience by building your first AI agent, exploring its capabilities with complex queries, and refining its usability through automation and interactivity. This comprehensive exploration will prepare you to create advanced autonomous AI solutions.
  • Build AI Agents with LangGraph - Deep Dive
    • In this module, we will dive deeply into the LangGraph framework, exploring its foundational principles and practical applications. You’ll build increasingly sophisticated AI agents, starting with basic setups and evolving to incorporate tools, memory, and human oversight. This section equips you with the skills to harness LangGraph’s full potential for creating versatile and intelligent AI agents.
  • Capstone Project - Build a Financial Report Writer AI Agent
    • In this module, we will bring together everything you’ve learned to build a financial report writer AI agent as the capstone project. You’ll work on designing the agent’s architecture, creating and linking functional components, and adding a user-friendly GUI. By the end, you’ll have a fully operational and optimized AI agent showcasing your mastery of autonomous AI development with LangGraph.
  • Wrap up
    • In this module, we will conclude the course by summarizing your learning journey and discussing pathways to expand your knowledge and proficiency. You’ll gain insights into future opportunities, tools, and projects to continue building on the foundation established in this course.

Taught by

Packt - Course Instructors

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