30 Agents Every AI Engineer Must Build
Build production-ready agent systems using proven architectures and patterns
Created by Imran Ahmad
Explore the world of intelligent agents and learn how to design and build 30 autonomous systems that go beyond basic AI tasks. Discover proven architectures and patterns for creating scalable, production-ready agents that can reason, plan, and collaborate in real-world environments.
Packt | Mar 2026 | 542 min
What You Will Learn
You will start by exploring foundational concepts and gradually move into advanced agent design. Through hands-on projects and practical examples, you will build, test, and deploy agents using frameworks like LangChain and LangGraph. Real-world scenarios and best practices help you apply what you learn to industry challenges.
Key Features
- Design and implement agent architectures for real-world, production-ready applications
- Build scalable agent workflows that integrate tools, APIs, and external data sources
- Master core agentic skills like perception, memory, reasoning, and planning
Target Audience
Ideal for AI engineers, software developers, and technical leads with Python experience who want to create intelligent, autonomous systems. If you are transitioning from traditional machine learning or looking to automate complex workflows with agent-based architectures, you will find actionable guidance and practical skills here.
