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Building AI Agents with Python: A Developer’s Guide to Autonomous, Scalable, and Practical Agents
Unlock the power of intelligent automation and build the next generation of AI systems—right from your command line.
Building AI Agents with Python is the definitive developer’s guide to designing, implementing, and deploying real-world AI agents that go far beyond chatbots and prompts. Whether you're a developer, ML engineer, or tech-savvy builder, this hands-on book teaches you how to create autonomous agents that plan, reason, use tools, retrieve knowledge, and act in dynamic environments—reliably and at scale.
You’ll learn how to build modular, memory-augmented, goal-driven systems using modern Python frameworks like LangChain, FAISS, and FastAPI. Step by step, you’ll go from the fundamentals of agent architecture to deploying powerful, production-grade AI agents with Retrieval-Augmented Generation (RAG), long-term memory, and multi-agent coordination.
Inside, you’ll
A Hello World agent that uses tools and executes tasks
A conversational agent with persistent memory and reasoning
A planning agent that breaks down complex goals intelligently
A multi-agent system with coordination, communication, and shared context
A fully autonomous research agent using RAG, APIs, and FastAPI for real-world use
Along the way, you’ll master best practices for prompt design, performance optimization, debugging multi-agent systems, minimizing hallucinations, and deploying agents in the cloud or on-prem using Docker.
If you’re ready to stop playing with toy prompts and start building real, intelligent systems, this is the book you’ve been waiting for.
Build agents that don’t just respond—they think, plan, and act.
Grab your copy and start building the future.
Building AI Agents with Python is the definitive developer’s guide to designing, implementing, and deploying real-world AI agents that go far beyond chatbots and prompts. Whether you're a developer, ML engineer, or tech-savvy builder, this hands-on book teaches you how to create autonomous agents that plan, reason, use tools, retrieve knowledge, and act in dynamic environments—reliably and at scale.
You’ll learn how to build modular, memory-augmented, goal-driven systems using modern Python frameworks like LangChain, FAISS, and FastAPI. Step by step, you’ll go from the fundamentals of agent architecture to deploying powerful, production-grade AI agents with Retrieval-Augmented Generation (RAG), long-term memory, and multi-agent coordination.
Inside, you’ll
A Hello World agent that uses tools and executes tasks
A conversational agent with persistent memory and reasoning
A planning agent that breaks down complex goals intelligently
A multi-agent system with coordination, communication, and shared context
A fully autonomous research agent using RAG, APIs, and FastAPI for real-world use
Along the way, you’ll master best practices for prompt design, performance optimization, debugging multi-agent systems, minimizing hallucinations, and deploying agents in the cloud or on-prem using Docker.
If you’re ready to stop playing with toy prompts and start building real, intelligent systems, this is the book you’ve been waiting for.
Build agents that don’t just respond—they think, plan, and act.
Grab your copy and start building the future.
387 pages, Kindle Edition
Published April 15, 2025
1 person want to read
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