Creating Basic AI Agents: A Hands-On Guide with Hugging Face

AI Agents are transforming how we automate tasks and interact with large language models. Start your journey into this cutting-edge field by mastering the core concepts of agentic workflows. By the end of this course, you will understand the architecture of goal-driven AI agents and gain practical experience configuring them to select and use tools effectively. You will be able to implement foundational agents capable of solving multi-step problems using models hosted on Hugging Face. What you'll learn: * Understand the core components and architecture of autonomous AI agents (planning, memory, tool use). * Apply prompt engineering techniques tailored for instructing agents and defining their goals. * Configure agents to utilize external tools and APIs for complex, real-world tasks. * Practice orchestrating sequences of actions and managing agent state and conversation history. * Implement basic retrieval-augmented generation (RAG) patterns to enhance agent knowledge grounding. * Learn how to leverage key open-source models and libraries available on Hugging Face for agent development. This course begins with essential terminology and the philosophy behind agent design, then progresses through practical, step-by-step written exercises. You will move from simple task execution to building agents that can reason and adapt their actions. This course is designed for absolute beginners interested in applied AI and large language models, requiring no prior experience with agent development. Start learning how to build the next generation of intelligent systems today.