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AI Agents with Python: Build Autonomous Systems That Think, Learn, and Act
Reactive Publishing
AI Agents with PythonBuild Autonomous Systems That Think, Learn, and Act
The future of AI isn’t just models — it’s agents. Systems that can observe, reason, make decisions, and take action in dynamic environments.
In AI Agents with Python, you'll learn how to go beyond isolated models and build fully autonomous systems that combine logic, memory, learning, and action — all in real-world applications.
Whether you're a developer, data scientist, or an AI-curious builder, this book walks you through the core components of intelligent agent design — and shows you how to bring them to life with Python.
Inside, you’ll build and deploy agents
Use LLMs, APIs, and structured data to reason and respond
Incorporate memory, tools, and recursive planning
Interface with real-world systems (files, browsers, databases)
Perform multi-step tasks autonomously using frameworks like LangChain, Auto-GPT, and CrewAI
Integrate reinforcement learning and feedback loops
Apply to use cases like customer service, trading, research, automation, and personal assistants
Packed with code examples, architectural blueprints, and real-world use cases, this book gives you everything you need to start building intelligent, useful agents from scratch.
Build smarter systems. Automate complex work. Create the future.
AI Agents with PythonBuild Autonomous Systems That Think, Learn, and Act
The future of AI isn’t just models — it’s agents. Systems that can observe, reason, make decisions, and take action in dynamic environments.
In AI Agents with Python, you'll learn how to go beyond isolated models and build fully autonomous systems that combine logic, memory, learning, and action — all in real-world applications.
Whether you're a developer, data scientist, or an AI-curious builder, this book walks you through the core components of intelligent agent design — and shows you how to bring them to life with Python.
Inside, you’ll build and deploy agents
Use LLMs, APIs, and structured data to reason and respond
Incorporate memory, tools, and recursive planning
Interface with real-world systems (files, browsers, databases)
Perform multi-step tasks autonomously using frameworks like LangChain, Auto-GPT, and CrewAI
Integrate reinforcement learning and feedback loops
Apply to use cases like customer service, trading, research, automation, and personal assistants
Packed with code examples, architectural blueprints, and real-world use cases, this book gives you everything you need to start building intelligent, useful agents from scratch.
Build smarter systems. Automate complex work. Create the future.
507 pages, Kindle Edition
Published March 25, 2025
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