Agentic AI Systems: Build & Deploy with LangChain/LangGraph
Craft Smart Agentic AI Systems Using LangChain & LangGraph
Created by Paulo Dichone
Explore how to build intelligent AI agent systems using LangChain and LangGraph. You will learn to design, implement, and deploy multi-agent architectures that can handle real-world tasks. The focus is on hands-on experience with practical tools and techniques for creating scalable AI solutions.
Packt | Apr 2026 | 1021 min
What You Will Learn
You will work through practical projects that guide you from setting up your environment to deploying AI agents in production. Each step introduces new concepts and tools, reinforced by hands-on exercises. By applying what you learn to real-world scenarios, you will gain both confidence and practical skills.
Key Features
- Build and deploy multi-agent AI systems using LangChain and LangGraph
- Integrate APIs and advanced memory features for smarter, more flexible agents
- Apply production-ready practices for monitoring, observability, and scaling
Target Audience
Designed for AI developers, data scientists, and machine learning engineers with Python experience who want to create advanced agentic AI systems. If you are eager to expand your skills in building, scaling, and deploying intelligent agents, this course will help you reach your goals.
