5 Free AI Courses from Hugging Face

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Introduction

Hugging Face has emerged as a central hub for all things artificial intelligence, not only by offering a vast collection of models and datasets but also as an educational platform. With a vibrant community that actively shares knowledge through blogs, articles, tutorials, and courses, it’s the ideal place for anyone keen on enhancing their AI skills. In this article, we explore some of the most popular and essential free courses available on Hugging Face. Each course covers key topics relevant to today’s rapidly evolving AI landscape, including AI agents, Model Context Protocols (MCPs), large language models (LLMs), diffusion models, and reinforcement learning.

1. AI Agents Course

The AI Agents Course is a community-driven learning path that combines theoretical knowledge with practical application. In this course, you’ll grasp core concepts and work with tools such as smol-agents, LlamaIndex, and LangGraph. You’ll have the opportunity to experiment in preconfigured Hugging Face Spaces and even participate in a competitive leaderboard, adding an engaging gamification aspect.

Learning goes beyond the course material; you can connect with a wider community through platforms like GitHub and Discord. By completing various units and challenges, you can earn free certificates, which add value to your learning journey.

The AI Agents course landing page | Image by Author

2. Model Context Protocol (MCP) Course

Designed for both newcomers and seasoned professionals, the Model Context Protocol (MCP) Course transitions seamlessly from basic AI concepts to advanced mastery of the Model Context Protocol. This course is structured to enhance your understanding of MCP through a combination of theoretical concepts, design principles, and hands-on practices.

Throughout the course, you can share your projects and explore community-generated applications, facilitating practical learning with real-world implications. Engage in foundational units focusing on MCP concepts, architecture, and core components while taking part in hands-on building sessions.

The Model Context Protocol (MCP) course landing page | Image by Author

3. Large Language Model Course

For those intrigued by natural language processing (NLP), the Hugging Face LLM Course offers a comprehensive bridge from foundational principles to cutting-edge advancements in large language models (LLMs). The course ensures you acquire practical skills in utilizing, fine-tuning, and deploying LLMs effectively.

By the end, you’ll be prepared to tackle both classic and advanced NLP tasks, showcasing your newfound skills through tangible projects. You’ll be particularly well-equipped to apply what you’ve learned with the powerful models available in the Transformers library.

The Large Language Model (LLM) course landing page | Image by Author

4. Diffusion Models Course

For a more specialized track, the Hugging Face Diffusion Course dives into the theory and practical applications of diffusion models. Here, you’ll not only learn how to generate images and audio but also how to train your own models from scratch.

The course is designed around hands-on experiences that allow you to fine-tune existing models on new datasets and explore advanced techniques such as conditional generation and custom pipelines. With a robust structure composed of four units, you will gain insights ranging from introductory concepts to advanced applications like Stable Diffusion.

The Diffusion Models course landing page | Image by Author

5. Deep Reinforcement Learning Course

If you’re interested in reinforcement learning, the Hugging Face Deep RL Course provides a well-rounded approach, covering both theoretical and practical aspects of deep reinforcement learning. This course guides you through foundational concepts and progressively introduces state-of-the-art methods.

Utilizing popular libraries like Stable Baselines3 and CleanRL, you will train agents in various environments, including unique setups like SnowballFight, Huggy the Doggo, and even classic environments such as Space Invaders. The interactive format encourages sharing results with the community, enriching the learning experience.

The Deep Reinforcement Learning course landing page | Image by Author

Summary of Courses Offered

To sum it up, here’s a brief look at the five fantastic courses offered by Hugging Face:

• AI Agents Course: Focus on core concepts, tools like smol-agents, LlamaIndex, and LangGraph, and engage in a dynamic learning environment.
• Model Context Protocol (MCP) Course: Master the fundamentals of MCP, with opportunities for real-world project applications.
• Large Language Model (LLM) Course: Integrate NLP foundations with the latest LLM techniques, fine-tuning, and deployment skills.
• Diffusion Models Course: Explore the creation of images and audio through Diffusers and advanced techniques like Stable Diffusion.
• Deep Reinforcement Learning Course: Delve into RL with hands-on practices and engaging environments, leveraging current libraries.

With these offerings, Hugging Face provides invaluable resources for anyone eager to deepen their understanding of artificial intelligence and its diverse applications. Whether you’re a beginner or an experienced professional, these courses pave the way for practical, actionable knowledge in this dynamic field.