AI Agent Engineering: Build Production Ready Agentic Systems

AI Agent Engineering: Build Production Ready Agentic Systems takes you beyond basic chatbot development into the sophisticated realm of autonomous AI architecture. Unlike introductory courses that focus solely on simple prompt engineering, this program centers on the structural integrity and reliability of agentic workflows. Participants will deep-dive into the technical stack required to move from experimental prototypes to robust, production-grade applications. By leveraging industry-standard frameworks like LangChain and LangGraph, you will master the complexities of agent memory, tool-based reasoning, and multi-agent collaboration. The curriculum covers the critical infrastructure required for modern AI, including the integration of Model Context Protocol (MCP) and building performant APIs using FastAPI. A significant portion of the course is dedicated to the 'operational' side of AI, focusing on observability through tools like Langfuse, implementing security guardrails, and managing agent-to-agent (A2A) communication protocols. This comprehensive approach ensures you gain the skills needed to design, deploy, and monitor scalable systems that perform reliably in real-world environments. Whether you are an AI engineer looking to standardize your deployment workflow or a developer transitioning into agentic system design, this course provides the rigorous methodology needed to build intelligent systems that work autonomously and safely.