Building AI Agents with smolagents

The 'Building AI Agents with smolagents' course, designed by Johannes Hayer, is a comprehensive developer-focused guide to mastering the creation of intelligent autonomous systems. As the artificial intelligence landscape transitions from static language models to dynamic, goal-oriented agents, understanding how to construct, deploy, and monitor these systems becomes crucial. This course dives deep into the lightweight and highly efficient smolagents library developed by Hugging Face, offering developers a streamlined path to building production-ready AI agents. Throughout the curriculum, you will explore the foundational theory of AI agents, distinguishing between standard LLM queries, structured workflows, and true agentic behaviors that utilize a "brain and body" design paradigm. Beyond theory, the course provides hands-on experience in building multi-agent systems capable of collaborating to solve complex tasks. You will learn to construct custom tools that empower agents to securely execute code, search the web, and parse complex datasets. Additionally, you'll gain practical experience deploying your agents with intuitive Gradio interfaces directly onto Hugging Face Spaces, while establishing robust observability pipelines using industry-standard tools like OpenTelemetry and LangFuse. Whether you are a software engineer, data scientist, or AI enthusiast, this course equips you with the exact technical skills needed to engineer resilient, self-correcting agentic architectures from scratch.