Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Agentic AI Development with Python: Harnessing LLMs and Frameworks to Build Autonomous Systems

Agentic AI Development with Python: Harnessing LLMs and Frameworks to Build Autonomous Systems

John, Gahfard

Paperback

General Computers

Currently unavailable to order

ISBN13: 9798266786073
Publisher: Independently Published
Published: Sep 23 2025
Pages: 170
Weight: 0.90
Height: 0.36 Width: 8.50 Depth: 11.00
Language: English
Agentic AI Development with Python: Harnessing LLMs and Frameworks to Build Autonomous Systems is a practical and forward-looking guide for developers, students, and technology enthusiasts who want to explore the next frontier of artificial intelligence. As AI continues to evolve beyond traditional models, the demand for intelligent systems that can reason, plan, and act autonomously is rapidly growing. This book provides the tools, concepts, and step-by-step guidance needed to design and implement agentic AI solutions using Python, one of the most accessible and powerful programming languages available today. From understanding the fundamentals of agentic AI and large language models (LLMs) to building real-world projects that automate workflows, the content is structured to help readers move from theory to hands-on practice. Readers will learn how to create agents that can interact with data, make decisions, and collaborate with external tools and APIs, all while leveraging frameworks that simplify development. The book also introduces strategies for integrating reasoning, memory, and adaptability into AI systems, ensuring that the agents you build are not only functional but also resilient and capable of solving complex, dynamic problems. Whether you are looking to expand your technical skills, stay competitive in a rapidly changing field, or apply AI to business, research, or personal projects, this guide offers practical insights and tested methods for bringing agentic AI ideas to life. With a balance of foundational knowledge and hands-on coding examples, it is an essential resource for anyone interested in building autonomous systems with Python.

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