Ahead of New Year holidays, a free-gift of educational materials on the main areas of AI for you.
👨🎓 Courses from HF Learn + IBM on AI
☞ LLM Course - introduces you to large language models and natural language processing using libraries from the HF ecosystem: Transformers, Datasets, Tokenizers, and Accelerate.
☞ Robotics Course - takes you from classical robotics to modern approaches based on ML.
☞ Model Context Protocol Course - a course created in partnership with Anthropic, which teaches you to understand, use, and create applications using MCP.
☞ Smol-course - the most comprehensive (and shortest) track on fine-tuning language models.
☞ AI Agents Course - teaches you to understand and use the most topical topic of today: creating and applying AI agents.
☞ Deep RL Course - a course on the most interesting topic in the field of AI: deep reinforcement learning.
☞ Computer Vision Course - a detailed analysis of computer vision, created by the HF community, consisting of theory, practical exercises, and fascinating tasks.
☞ Audio Course - teaches you to use Transformers for audio processing. You will get an idea of the specifics of working with audio data, study various Transformers architectures, and train your own models.
☞ ML for Games Course - learn how to integrate AI models into game development processes and create unique gaming experiences.
☞ Diffusion Course - a full-scale source of knowledge and skills on diffusion. Theory and practice: from studying the Diffusers library to creating data processing pipelines.
☞ ML for 3D Course - an author's set of educational materials on the use of machine learning in 3D from Dylan Ebert (IndividualKex) - a 3D graphics developer at HuggingFace.
☞ Free courses and projects on AI, DS and clouds on Cognitive Class from IBM: over 100 materials on modern technologies.
👨💻 28 Ready-made AI Projects: Not just code files, end-to-end working apps that can be launched, tested, used in production/portfolio.
Save it for holidays, this year they're long.
#AI #ML #HuggingFace #LearnDays
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🤖 Data Science, ML & Big Data with @DataXplore