AI Agent Development and Design Fundamentals

Artificial intelligence is evolving from simple chatbots into autonomous agents capable of executing complex workflows independently. Understanding how to architect these systems is becoming a critical skill for anyone looking to work at the forefront of modern software development. This course guides you through the process of building intelligent agents from the ground up, focusing on the logic, memory, and tool-use capabilities required for autonomous operation. What you'll learn: - Understand the fundamental architecture of autonomous AI agents and how they differ from standard chat interfaces - Design agentic workflows that utilize reasoning loops and iterative problem-solving techniques - Apply prompt engineering strategies specifically tailored for directing agent behavior and decision-making - Integrate external tools and APIs to allow agents to interact with data and perform real-world actions - Implement memory management and Retrieval-Augmented Generation (RAG) patterns to provide agents with persistent context - Practice refining agent performance to ensure reliability and safety in automated tasks The curriculum begins with essential terminology and foundational concepts before moving into practical design patterns and implementation strategies. You will progress through written explanations and code-based examples that illustrate how agents think and act. This course is designed for beginners interested in the intersection of AI and software development, and no prior experience with agentic systems is required. Start building the next generation of intelligent software today.