9 free courses on artificial intelligence from Hugging Face

AI Agents Course
During the course, students study popular frameworks such as smolagents, LlamaIndex, and LangGraph, complete practical assignments, participate in challenges, and can earn a certificate. The course is designed to master the principles of working with AI agents, training them, and integrating them into real-world tasks, and also includes bonus modules and development competitions.

Audio course
As part of the course, participants will learn the basic principles of working with audio data, become familiar with popular architectures, and learn how to apply models for tasks such as sound classification, speech recognition, and audio generation. The course includes both theoretical blocks and practical exercises, as well as the opportunity for certification after completing assignments. The course is suitable for those who are already familiar with the basics of machine learning.

Community Computer Vision Course
In the course, participants will study key technologies such as convolutional neural networks, transformers for image processing, and multimodal models, as well as master practical tasks including image classification, object detection, and video processing. The course offers practical exercises, the opportunity for certification, and active participation in the community.

Deep Reinforcement Learning Course
Course participants will master key concepts such as Q-Learning, Policy Gradient, and Proximal Policy Optimization, and will work with popular libraries Stable Baselines3, RL Baselines3 Zoo, and CleanRL. The course includes practical assignments, competitions, and the opportunity for certification. The course offers unique training environments, including Atari games, robot simulations, and AI vs AI challenges, making it an excellent resource for studying modern agent learning methods.

Diffusion Models Course
The course is dedicated to studying generative modeling methods using diffusion models. During the training, participants will learn the basics of working with Hugging Face Diffusers, learn how to create their own models, fine-tune them, and apply the principles of conditional generation.

LLM Course
Participants will learn the principles of working with Hugging Face Transformers, Hugging Face Datasets, and Hugging Face Tokenizers, as well as master fine-tuning pre-trained models and creating custom solutions based on modern LLM architectures. The course includes practical exercises, demonstrations, model hosting on Hugging Face Hub, and the study of NLP trends.

ML for 3D Course
The course is dedicated to studying multi-view diffusion, Gaussian Splatting, working with 3D meshes, and creating a generative 3D project. In addition, the course reveals current approaches and technologies, helps understand the importance of new developments, and provides practical tools for working with AI in 3D graphics.

ML for Games Course
Course participants will learn how to integrate large language models for smart NPCs, accelerate development using AI-generated textures and voiceovers, and create their own game demo project. The course is based on Unity, but expansion to Unreal Engine and Godot is planned in the future, allowing exploration of AI prospects in game development.

Open-Source AI Cookbook
This is a collection of practical guides illustrating how to create and optimize AI applications using open-source tools and models. It includes MLOps, LLM, Computer Vision, Diffusion, Multimodal, Search, and Agents Recipes, as well as a guide to working with Hugging Face Spaces and the Inference API.