Building AI Agents with LangChain

Learn to create autonomous AI agents that can perform complex tasks.

Dive deep into the world of AI agents with this advanced guide to LangChain. You'll learn how to build autonomous agents that can reason, plan, and execute multi-step tasks using external tools. From simple chain-of-thought patterns to complex agent architectures with memory and tool use, this guide provides hands-on experience building production-ready AI agent systems.

Prerequisites

✓Python programming experience
✓Understanding of LLM APIs
✓Basic knowledge of prompt engineering

What You'll Learn

Introduction to AI Agents

Understand agent architectures and when to use them.

LangChain Fundamentals

Set up LangChain and learn core concepts like chains and prompts.

Building Custom Tools

Create tools that agents can use to interact with external systems.

Implementing Agent Memory

Add short-term and long-term memory to your agents.

Multi-Agent Systems

Build systems where multiple agents collaborate on tasks.

Production Deployment

Deploy agents with proper error handling and monitoring.

Topics Covered

AI Agents LangChain GPT Python Automation

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