AI-Powered Autonomous Agents with Python: Develop Smarter Multi-Agent Systems Using AutoGen, GPT-4.5, and Tree-of-Thought Techniques

Name: AI-Powered Autonomous Agents with Python: Develop Smarter Multi-Agent Systems Using AutoGen, GPT-4.5, and Tree-of-Thought Techniques
Brand: Atlantic Books
SKU: 9798293582402
Price: 2463.0 INR
Availability: InStock

by Landen Howe

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ISBN13: 9798293582402
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: July 22, 2025
Pages: 356
Original Price: GBP 21.42
Language: English
Edition: N/A
Item Weight: 617 grams
BISAC Subject(s): Languages / Python

About The Book

What if you could build software that thinks, plans, and collaborates-without constant supervision?
Ready to move beyond basic AI prompts and craft robust, intelligent systems that deliver real results?

This essential guide reveals the core principles and hands-on strategies behind creating advanced autonomous agents with Python. Whether you're an AI developer, a machine learning engineer, or a forward-thinking software architect, you'll discover proven techniques to design, implement, and scale multi-agent systems-fueled by the power of AutoGen, GPT-4.5, and the Tree-of-Thought reasoning model.

What makes this book stand out?
Every chapter is structured for practical mastery and fast application:

Getting Started: Set up your Python environment, install key libraries, and launch your first agent.
Core Concepts: Understand agent architecture, planning and execution, ReAct, and Tree-of-Thought patterns.
Building Smarter Agents: Master workflow design, context management, memory handling, and advanced prompt engineering.
Persistent Memory with Vector Databases: Integrate tools like FAISS and Chroma for real-world context and recall.
Advanced Reasoning: Balance exploration, improve decision efficiency, and debug agent logic.
Multi-Agent Collaboration: Architect, coordinate, and scale agent teamwork for complex challenges.
Deployment and Scaling: Package, orchestrate, and run agents with reliability and resilience.
Human Feedback and Continuous Learning: Capture user input and close the improvement loop.
Security, Privacy, and Ethics: Safeguard data, enforce safety, and build trustworthy systems.
Real-World Applications: Explore code generation, customer support, automation, and future trends.

Curious how experts build scalable, real-world AI that adapts, collaborates, and learns?
This book hands you the blueprint and step-by-step tools you need.

Don't settle for outdated chatbots or fragile automation. Equip yourself with a modern skillset for AI engineering and lead the next generation of intelligent software.
Buy your copy today and start building agents that truly think for themselves.

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