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portada AI Agent Development with Python: Step-by-step to your own AI assistant with Agno. With many practical examples.
Type
Physical Book
Author
Language
English
Format
Paperback
ISBN13
9798286852734

AI Agent Development with Python: Step-by-step to your own AI assistant with Agno. With many practical examples.

Manuel Schneider (Author) · · Paperback

AI Agent Development with Python: Step-by-step to your own AI assistant with Agno. With many practical examples. - Manuel Schneider

Used BookGood Condition Imported to Netherlands
Delivery: 27 Oct - 04 Nov Shipping: 11 to 16 business days.
€ 25,06
Import costs and 9% BTW included in the price ✅
(Good Condition)€ 25,06

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Synopsis "AI Agent Development with Python: Step-by-step to your own AI assistant with Agno. With many practical examples."

The Easy Path to Your Own AI Agent – Practical and Straightforward!Do you want to develop your own AI assistant that automates tasks, creates content, or evaluates ideas?Are you eager to understand the possibilities of modern language models (LLMs) and implement productive AI agents without diving into complex theory?Looking for a framework that’s fast, lightweight, and practical?If you answered "Yes" to any of these questions, this book is perfect for you because…"AI Agent Development with Python" shows you step by step how to build your own AI agents using the modern Agno framework – from the basics to production-ready projects.What You Will Learn in This Book:Practical Focus: Develop real AI agents for tasks like task management, idea validation, or automated content creation.Quick Start with Agno: Install the lightweight framework and start building fully functional agents immediately.AI Made Understandable: Learn how LLMs, agent architectures, and multi-agent systems work – compactly and clearly explained.Framework Comparison: Understand the differences, strengths, and weaknesses of LangChain, AutoGen, CrewAI, and Agno.Building Production-Ready Systems: Integrate tools, memory, external knowledge sources, and ensure stable, structured outputs.Best Practices & Future Development: Learn how to test, improve, and maintain your agents long-term.Why This Book?Practical and Beginner-Friendly: Every step is explained clearly – no deep prior knowledge required.Immediately Actionable: Instead of dry theory, you’ll get concrete instructions and real-world examples.Perfect for Developers and Makers: If you’re ready to get started, this is the right book for you.Modern and Future-Oriented: You’ll discover tools and approaches that are being used in cutting-edge AI projects today.Start your AI agent project now and unlock the full power of modern AI technology! Read more

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