# Recommendations for ML courses

**URL:** <https://discuss.huggingface.co/t/recommendations-for-ml-courses/163811>\
**Category:** Beginners\
**Created:** [July 20, 2025, 11:40am UTC](https://discuss.huggingface.co/t/recommendations-for-ml-courses/163811 "2025-07-20T11:40:24Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![kaguya3222](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/kaguya3222/32/51401_2.png) [@kaguya3222](https://discuss.huggingface.co/u/kaguya3222)\
**Post date:** [July 20, 2025, 11:40am UTC](https://discuss.huggingface.co/t/recommendations-for-ml-courses/163811/1 "2025-07-20T11:40:24Z")

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Hey there ! I am Maksym, Frontend Engineer. I have 5 years of experience and working mostly with TypeScript/Frontend frameworks. I am familiar with other languages (C, C++) from the university program. I am interested in learning basic ML to complete Hugging Face LLM Course.

Any recommendations here with what should I start?

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**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\
**Post date:** [July 20, 2025, 2:05pm UTC](https://discuss.huggingface.co/t/recommendations-for-ml-courses/163811/2 "2025-07-20T14:05:26Z")

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Hi.  
Python is essential. However, you don’t necessarily need to study Python specifically; if you understand C, you should be able to use Python by looking up syntax and functions as needed. The course should not use many of the more complex Python syntaxes. (After all, Python’s strengths lie in its readability and abundance of libraries…)  
You can start right away without any issues.

Additionally, for actual API usage or running WebGPU in a browser, there are JavaScript libraries available.

If you want to learn the theoretical background, there are other resources available, but the LLM course alone covers a significant portion of the material.

### Some resources

> **[Tutorials — Triton documentation](https://triton-lang.org/main/getting-started/tutorials/index.html)**

> **[GitHub - NielsRogge/Transformers-Tutorials: This repository contains demos I made with the...](https://github.com/NielsRogge/Transformers-Tutorials)**
>
> This repository contains demos I made with the Transformers library by HuggingFace.

> **[GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs)...](https://github.com/mlabonne/llm-course)**
>
> Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

> **[GitHub - ArturoNereu/AI-Study-Group: Resources to learn AI](https://github.com/ArturoNereu/AI-Study-Group)**
>
> Resources to learn AI

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<div class="post-metadata">

**Author:** ![kaguya3222](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/kaguya3222/32/51401_2.png) [@kaguya3222](https://discuss.huggingface.co/u/kaguya3222)\
**Post date:** [July 20, 2025, 2:24pm UTC](https://discuss.huggingface.co/t/recommendations-for-ml-courses/163811/3 "2025-07-20T14:24:42Z")

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Thanks a lot!

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**Author:** ![system](https://us1.discourse-cdn.com/hellohellohello/original/2X/d/de4155eb4aa4108ecb32a1389d7cc37ae69f88b7.png) [@system](https://discuss.huggingface.co/u/system)\
**Post date:** [July 21, 2025, 2:25am UTC](https://discuss.huggingface.co/t/recommendations-for-ml-courses/163811/4 "2025-07-21T02:25:23Z")

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