9 Free AI Courses from Hugging Face

Hugging Face offers free online courses in key areas of artificial intelligence, including large language models, generative modeling, computer vision, games, and 3D machine learning. Through these programs, you will learn advanced frameworks, complete practical assignments, and acquire highly sought-after skills in the field of AI.

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AI Agents Course
During the learning process, students study popular frameworks such as smolagents, LlamaIndex, and LangGraph, participate in practical exercises, take part in competitions, and have the opportunity to receive a certificate. The course teaches the principles of working with artificial intelligence agents, training them, and integrating them into real-world problems. Bonus modules and development challenges are also available.

Audio Course
Participants learn the fundamental 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 theoretical blocks, practical exercises, and the opportunity to receive a certificate upon completing assignments. The course is suitable for those who know the basics of machine learning.

Community Computer Vision Course
In this course, participants study technologies such as convolutional neural networks, transformers for image processing, and multimodal models. Practical exercises include image classification, object detection, and video analysis. The course offers community engagement and the opportunity to receive a certificate.

Deep Reinforcement Learning Course
Students learn fundamental concepts such as Q-Learning, Policy Gradient, and Proximal Policy Optimization, and work with libraries such as Stable Baselines3, RL Baselines3 Zoo, and CleanRL. The course features unique practice environments such as Atari games, robot simulations, and AI vs AI competitions.

Diffusion Models Course
This course teaches generative modeling methods and introduces the basics of working with Hugging Face Diffusers. Students learn to create their own models, fine-tune them, and apply conditional generation techniques.

LLM Course
Participants learn to work with Hugging Face Transformers, Datasets, and Tokenizers. Additionally, they are taught how to fine-tune pre-trained models, create their own solutions, deploy models on the Hugging Face Hub, and analyze trends in the field of NLP.

ML for 3D Course
The course is dedicated to multi-view diffusion, Gaussian Splatting, working with 3D meshes, and creating generative 3D projects. The course provides practical tools for understanding and applying new technologies.

ML for Games Course
Students learn tasks such as creating intelligent NPCs using large language models, automating texture and sound generation, and creating game demos. The course is built on Unity, with plans to support Unreal Engine and Godot in the future.

Open-Source AI Cookbook
This collection provides practical guides in areas such as LLM, Computer Vision, Diffusion, Multimodal, Search, and Agents. Additionally, there are instructions for working with Hugging Face Spaces and the Inference API.