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Coursera

Building AI Agents with LangGraph and OpenAI

Packt via Coursera

Overview

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Build intelligent AI agents using LangGraph and GPT-4 to query, interact, and converse with custom datasets. Learn tool calls, state management, and conversational applications to unlock deeper insights from your data. Create an intelligent AI agent that converses seamlessly with your own datasets using LangGraph and OpenAI's GPT-4. This notebook guides you through developing AI applications capable of understanding, querying, and interacting directly with custom data. You’ll explore key steps, including tool calls, state management, dataset exploration, and building conversational workflows. LangGraph's powerful tools enable your AI agent to dynamically interpret data and execute specific actions based on user requests. By the end, you'll have built an interactive application that transforms raw data into actionable insights through conversational interaction, demonstrating the power and versatility of AI agents. Create your own DataLab workbook for this code along: (https://www.datacamp.com/datalab/new?accountType=personal&_tag=workspace&workspaceId=7550a246-036f-4669-8dfa-3fb70535c91d&title=Building%20AI%20Agents%20with%20LangGraph%20and%20OpenAI&visibility=private&openIfExists=true) This course is ideal for professionals with an intermediate understanding of AI, machine learning, or software development, who want to explore advanced AI techniques. It is best suited for those familiar with Python programming, data structures, and AI concepts, looking to develop AI agents capable of working with custom datasets. Whether you're building conversational systems or automating data workflows, this course will provide you with the tools to enhance your skills and create impactful AI applications. The course follows a hands-on approach where you will learn by building AI agents from scratch using LangGraph and GPT-4. You’ll start by understanding the tools and techniques to explore and query datasets. Progressing through the course, you'll learn to integrate state management, memory, and interactive workflows to develop practical, real-world AI applications. This course is based on Building AI Agents with LangGraph and OpenAI, by DataLab DataLab and Vincent Vankrunkelsven. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

  • Building AI Agents with LangGraph and OpenAI
    • This module teaches learners how to build and deploy intelligent AI agents using LangGraph and OpenAI, focusing on querying data, managing state, and creating conversational applications. It covers setting up environments, utilizing tool calls, and improving data insights through AI interactions.

Taught by

Packt - Course Instructors

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