Build Your First AI Agent

Curious about how AI can perform tasks on its own? This course demystifies the world of AI agents and gives you the foundational skills to build them from scratch, even with no prior experience in AI. You will go from understanding the basic theory behind Large Language Models (LLMs) and agentic workflows to writing your first functional AI agent in Python. This course focuses on core principles, enabling you to design simple agents that can reason, plan, and use tools to accomplish goals. What you'll learn: - Understand the core concepts of AI agents, including planning, memory, and tool use - Learn fundamental prompt engineering techniques to guide agent behavior - Build a simple AI agent using Python and popular open-source libraries - Implement basic Retrieval-Augmented Generation (RAG) to give your agent access to external knowledge - Practice defining and integrating custom tools for your agents to interact with external systems - Set up a modern Python development environment for your AI projects The course starts with the essential terminology and architecture of AI agents before guiding you through hands-on exercises to build your own. You will learn by reading clear explanations and applying concepts in practical coding tasks. This course is designed for absolute beginners. No prior experience in AI or machine learning is required, though a basic familiarity with Python will be helpful to complete the exercises. Start your journey into the exciting field of autonomous AI today.