『AI Agents in Action (Second Edition)』のカバーアート

AI Agents in Action (Second Edition)

Intelligent Workflows with LLMs, MCP, A2A, and More

プレビューの再生

聴き放題対象外タイトルです。Audibleプレミアムプラン登録で、非会員価格の30%OFFで購入できます。

¥1,820で会員登録し購入
オーディオブック・ポッドキャスト・オリジナル作品など数十万以上の対象作品が聴き放題。
オーディオブックをお得な会員価格で購入できます。
30日間の無料体験後は月額¥1500で自動更新します。いつでも退会できます。

AI Agents in Action (Second Edition)

著者: Micheal Lanham
ナレーター: Julie Brierley
¥1,820で会員登録し購入

30日間の無料体験後は月額¥1500で自動更新します。いつでも退会できます。

¥2,600 で購入

¥2,600 で購入

AI agent technology is changing fast! This totally revised Second Edition of "AI Agents in Action" by Micheal Lanham guides you through the latest breakthroughs in large language model (LLM)-powered autonomy, from the Model Context Protocol (MCP) to advanced multi-agent collaboration and deployment.

Whether you're upgrading your customer service systems, creating a research assistant, or deploying a fleet of internal agents to automate enterprise tasks, this hands-on guide will help you build trustworthy agents that can handle high-stakes tasks. Extensively revised, this second edition contains new chapters on MCP, containerized deployment, and voice agent orchestration, along with refreshed coverage of LangChain, Prompt Flow, CrewAI, and more.

In "AI Agents in Action, Second Edition," you'll learn how to:

  • Design and deploy production-grade autonomous agents
  • Use MCP, the OpenAI Assistants API, and tools to build adaptable systems
  • Leverage retrieval-augmented memory, feedback loops, and self-improving behaviors
  • Orchestrate voice and vision-enabled agents
  • Containerize and scale your agents

About the book:

"AI Agents in Action, Second Edition" provides a solid foundation for listeners just starting with agents, while introducing advanced techniques. You'll work through the core layers of an agentic system, including prompt engineering, working with tools, reasoning and planning, knowledge and memory, evaluation, and feedback patterns. Each chapter combines real-world examples that cover reasoning frameworks like ReAct and Sequential Thinking MCP, advanced RAG systems, and multi-agent collaboration patterns. You'll find extensive tips, tricks, and best practice advice taken from Micheal Lanham's AI career.

About the listener:

For intermediate Python programmers.

About the author:

Micheal Lanham is a software and technology innovator with over 20 years of experience. He has authored books on deep learning, including Manning's "Evolutionary Deep Learning."

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2026 Manning Publications (P)2026 Manning Publications
コンピュータサイエンス 機械理論・人工知能
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません