Overview

Full-Stack AI Agent Developer: Build, Integrate, and Deploy MCP Servers and LangChain Agents in Python for Real-World AI ApplicationsUnlock the skills behind today's most powerful AI systems by learning how to build, integrate, and deploy full-stack AI agents from the ground up. Full-Stack AI Agent Developer is a practical, hands-on guide for engineers, developers, and tech professionals who want to master the end-to-end process of building production-ready AI agents. From Modular Control Protocol (MCP) servers to LangChain-powered agent workflows, this book shows you how modern AI tools work together to automate real-world tasks with reliability and scale. You'll explore how to design intelligent, tool-using agents; connect them to enterprise systems; orchestrate multi-agent environments; and deploy them securely using Python, FastAPI, Docker, and cloud-native practices. Every chapter is crafted to make complex concepts approachable without sacrificing technical rigor helping you build agents that are fast, safe, modular, and ready for production. By the end, you'll be equipped with the skills and intuition to architect advanced agent systems, contribute to the open-source ecosystem, and confidently step into the fast-growing world of AI engineering. Benefits: Build MCP servers, tool endpoints, and secure agent backends in Python. Create LangChain agents capable of reasoning, tool-use, and multi-step workflows. Learn deployment, scaling, CI/CD, observability, and security for real-world applications. Follow three end-to-end project builds, including enterprise integrations and multi-agent orchestration. Gain a complete career and skills roadmap for becoming a full-stack AI agent engineer. If you're ready to build real-world AI agents that go far beyond chatbots, get your copy today and start becoming a full-stack AI agent developer.

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