Hugging Face launches free robotics course exploring AI-driven learning in robotics

Hugging Face has launched a free robotics course extending its reach into practical AI education for developers and researchers.

Ben Burtenshaw, Community Education Lead at Hugging Face, took to LinkedIn to announce the release of a new robotics course designed to teach practical applications of machine learning in robotics.

“Massive course release. The robotics course on Hugging Face starts today! This free course will take you from basic robotics to modern learning-based approaches. It's interactive and fun!” he wrote.

The course guides learners from classical robotics to data-driven and reinforcement learning approaches, using LeRobot, Hugging Face’s open-source robotics library. It also introduces the fundamentals of robot learning, emphasizing how robots learn from data and why learning-based methods are reshaping the field.

According to Hugging Face, the curriculum covers classical robotics foundations, modern learning-based methods, and real-world datasets. Students are introduced to reinforcement learning, imitation learning, and foundation models, which form the basis for general-purpose robotics.

“Across the course you will study classical robotics foundations and modern learning-based approaches, learn to use LeRobot, work with real robotics datasets, and implement state-of-the-art algorithms,” the company explains on its website. The structure allows users to progress through self-contained chapters, beginning with the basics and moving toward implementation of advanced machine learning techniques in physical systems.

Burtenshaw wrote that the robotics course aims to help learners gain “practical skills you can apply to real robotic systems.” He summed up the hands-on focus of Hugging Face’s latest course: “Join the org, check out the written material, and you'll get updates about more releases.”