Building AI Agents from Scratch

About this course

Move beyond simple chatbots. This advanced course dives into the architecture and implementation of autonomous AI agents. You'll learn how agents leverage Large Language Models (LLMs) as their core reasoning engine, combined with tools, memory, and planning capabilities to achieve complex goals without constant human supervision. We'll dissect the components that make an agent 'intelligent' and self-directed. We focus on building agents from the ground up, understanding the critical role of prompt engineering for agent behavior, selecting and integrating external tools (like APIs or databases), and implementing memory systems for context retention. You'll explore different agent architectures, such as ReAct (Reasoning and Acting) and Plan-and-Execute, and learn how to debug and refine agent performance when things inevitably go wrong. This course provides the blueprint for creating sophisticated AI systems. You'll gain hands-on experience coding agents that can browse the web, interact with software, analyze data, and more. Prepare to build agents that can tackle multi-step problems, adapt to new information, and operate with a degree of autonomy, pushing the boundaries of what's possible with AI.