Build AI Agents with OpenAI and LangChain
Learn to build autonomous AI agents that use tools, make decisions, and accomplish complex tasks using LangChain and agentic design patterns.
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary6 hoursProjects
2Prerequisites
2 coursesWe suggest you complete the following courses before you get started with Build AI Agents with OpenAI and LangChain:- Intro to PyTorch and Neural Networks
- Intermediate Python 3
About this skill path
AI agents represent the next frontier in artificial intelligence—autonomous systems that don’t just respond to prompts, but actively use tools, make decisions, and accomplish complex tasks on their own. In this course, you’ll learn what distinguishes AI agents from traditional applications and workflows, and master the fundamental building blocks of agentic systems: retrieval, tool use, and API integration. You’ll work hands-on with LangChain to build sequential chains and manage memory, implement core agentic design patterns in code, and apply prompt engineering techniques specifically for autonomous tasks. By the end, you’ll be able to synthesize these techniques into complete, functional AI agent systems.
Skills you'll gain
- Learn what AI agents are and how they’re differentiated from traditional applications
- Work with LangChain to build sequential chains and manage memory
- Implement the basic design patterns of agentic systems in code
Syllabus
6 units • 4 lessons • 2 projects • 4 quizzes- 1
Welcome to Build AI Agents with OpenAI and LangChain
Welcome to Build AI Agents with OpenAI and LangChain!
- 2
Intro to AI Agents
Understand AI agents from the ground up in this beginner-friendly course covering autonomous systems and agentic workflows.
- 3
Getting Started with LangChain
Learn how to build LangChain applications using core components — LLMs, prompts, and chains — and understand how memory affects model behavior.
- 4
Learn How to Build AI Agents
Learn how to expand the capabilities of LLMs with tool use—calling functions to perform tasks and incorporate them into your outputs.
- 5
Capstone Project: Trip Planner
Create an AI-powered trip planning application using Streamlit and your skills in building agentic AI systems!
- 6
Build AI Agents with OpenAI and LangChain Next Steps
Build AI Agents with OpenAI and LangChain Next Steps!
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Projects in this skill path
- practice Project
Building an Agentic Meal Planner
Build a multi-step AI workflow that uses OpenAI API to create a personalized meal plan that meets specific dietary requirements, budget constraints, and preferences. - practice Project
Building an Augmented Writing App
Build an augmented LLM chat app in Streamlit that helps you write and edit a knowledge base: creating, revising, and deleting text files as well as looking up knowledge in a data store.
Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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Related resources
- Article
Agentic AI vs Generative AI: Key Differences
Discover what is agentic AI vs generative AI, their key differences, and which one you should use. - Article
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Discover the top AI agent frameworks in 2025. Compare LangChain, AutoGen, CrewAI & more to choose the best agentic AI framework for your project. - Article
Types of AI Agents: A Practical Guide with Examples
Learn the six types of AI agents with practical examples: reflex, model-based, goal-based, utility, learning & multi-agent systems.
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What's included in skill paths
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.







