Overview

What if your Python code could think, plan, and make decisions on its own? In Agentic AI with Python, developer and instructor Christina Raynor shows you exactly how to transform ordinary code into autonomous, goal-driven AI agents. This isn't abstract theory-it's hands-on, practical AI engineering for developers who want to build the next generation of intelligent systems. Through step-by-step projects, you'll learn how to use Python, LangChain, CrewAI, and OpenAI to create agents that reason, collaborate, and adapt in real time-just like humans do. You'll move from simple reactive scripts to full multi-agent ecosystems capable of memory, self-correction, and long-term task management. Inside, You'll Learn How To: - Build your first autonomous Python agent using LangChain and OpenAI - Integrate CrewAI for multi-agent collaboration and distributed intelligence - Use function calling and external APIs to perform real-world actions - Implement memory, contextual reasoning, and adaptive learning - Design self-healing systems with error recovery and dynamic task management - Automate workflows using Python, FastAPI, and Docker - Deploy production-ready agents for research, business, and innovation Why This Book Stands Out Unlike surface-level AI tutorials, Agentic AI with Python gives you the complete engineering mindset behind autonomous reasoning systems. Every chapter blends AI fundamentals with practical coding patterns, helping you build agents that: - Understand goals and plan intelligently - Learn from experience and adapt behavior - Collaborate across multiple agents for complex problem-solving - Operate independently and reliably in production By the final chapter, you'll have mastered how to design, build, and deploy thinking AI systems-not just chatbots, but true digital collaborators capable of reasoning and execution at scale. Perfect For: - Python developers and ML engineers - AI researchers and automation specialists - Technical founders and innovators exploring agentic design - Anyone ready to go beyond prompt engineering and build real autonomous systems Empower your Python code to think for itself-build autonomous, adaptive AI agents today.

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