Modern AI Agent Development Using LangChain and Microsoft Azure
Create practical agent workflows with tools, memory, MCP, and observability
Created by Houssem Dellai
Explore how to design and operate AI agents using LangChain, LangGraph, and Microsoft Azure. You'll move beyond simple prompts to create agents that can use tools, remember conversations, and interact with external systems. Each section connects concepts to hands-on workflows so you can build practical, observable agent solutions.
Packt | Jul 2026 | 84 min
What You Will Learn
You'll start with core concepts and quickly move into building real agent workflows. Each section introduces a new capability, from basic ReAct agents to advanced orchestration and observability. Step-by-step demonstrations show how to connect LangChain, Azure AI, and supporting tools in practical scenarios.
Key Features
- Design and build AI agents that use tools, memory, and external APIs on Azure
- Integrate human oversight, safe code execution, and multi-agent orchestration
- Monitor agent behavior and troubleshoot with LangSmith tracing and observability
Target Audience
If you're a Python developer, Azure engineer, or AI practitioner ready to move from prompt-based prototypes to robust agentic systems, this course is for you. You should be comfortable with Python and familiar with REST APIs and Azure basics. It's ideal for those looking to build, deploy, and monitor real-world AI agents in cloud environments.
