February 2025
Intermediate
2h 57m
English
on-demand course
Building AI Agents with LangGraph: Creating Agentic Applications with Large Language Models and LangGraph
with Sajal Sharma
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
This course offers a comprehensive introduction to creating advanced AI agents capable of executing complex tasks autonomously. Learners will explore the fundamental concepts of AI agents, including reasoning, action-taking, and the ReAct pattern, and gain hands-on experience building these agents from scratch using Python and OpenAI. The course introduces LangGraph, a powerful framework for designing multi-agent architectures and covers essential design patterns and tools to enhance agent functionality.
The importance of AI agents is underscored by their growing role in automating workflows and enhancing productivity across various industries. AI agents can significantly outperform traditional chatbots by making autonomous decisions and completing tasks without human intervention. This course equips participants with the skills to design, build, and evaluate sophisticated AI agents.
What you’ll learn and how to apply it
- Understand the fundamentals of AI agents and their applications
- Implement simple agents using Python and OpenAI
- Utilize LangGraph for designing sophisticated AI agents
- Build and evaluate multi-agent applications
This course is for you because
- You are an AI engineer interested in learning to build and deploy advanced AI agents, implement the ReAct pattern, and utilize LangGraph for creating multi-agent architectures.
- You are a Software Engineer looking to move into an AI Engineer role, or want to see how you can leverage AI agents to improve your current applications.
- You are a data scientist who wants to become more proficient at automating complex tasks using AI agents, enhancing decision-making processes, and improving workflow efficiency.
This intermediate-level course assumes familiarity with Python and basic proficiency with using OpenAI API and frameworks like Langchain. The learner should understand how to develop in Python, work with APIs, and code using Jupyter Notebook. A background of building Using LLM APIs (OpenAI etc), and using LLM development frameworks such as Langchain is also preferable. By the end of the course, you will have gained the necessary skills to design, build, and evaluate sophisticated AI agents, equipping you for advanced roles and projects in the rapidly evolving field of AI.
Prerequisites
- Intermediate knowledge of programming using Python
- Basic understanding of LLMs and using OpenAI API
- Basic understanding of building AI applications using frameworks such as Langchain
Course Materials
GitHub link: https://github.com/sajal2692/building_ai_agents_with_langgraph
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