AI Agent Foundations: Building Autonomous Systems

The shift from simple chatbots to autonomous AI agents is transforming how we interact with technology. This course guides you through the essential concepts and practical steps needed to design and implement your own intelligent agents through clear, written instruction. You will progress from foundational definitions to understanding the logic behind agentic behavior and tool integration. Learn how to structure agent reasoning, manage long-term memory, and connect your models to external data sources. What you'll learn: Understand the core architecture and decision-making processes of modern AI agents; Master prompt engineering strategies for agentic reasoning, such as Chain-of-Thought patterns; Apply memory management techniques to help agents retain context and learn from past interactions; Configure tool-use and function-calling capabilities to enable agents to interact with external environments; Explore Retrieval-Augmented Generation (RAG) patterns to ground agent responses in specific datasets; Practice building agent workflows that can decompose complex goals into actionable tasks. The course starts with key terminology and the evolution of Large Language Models into agents, followed by detailed written walkthroughs of agent logic and code-based implementations. This program is perfect for beginners who want a solid conceptual and practical start in the field of AI automation without any prior experience required. Begin your journey into the world of autonomous AI today.