1.microsoft / AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
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30 repositories by Attention Score · Aug 6, 2026 – Nov 3, 2026 (UTC)
12 Weeks, 24 Lessons, AI for All!
18 Lessons to Get Started Building AI Agents
21 Lessons, Get Started Building with Generative AI
TranslatedPython - 100 Days from Novice to Master
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Anthropic's Interactive Prompt Engineering Tutorial
10 Weeks, 20 Lessons, Data Science for All!
Learn ML engineering for free in 4 months! Register here 👇🏼
Learn how to develop, deploy and iterate on production-grade ML applications.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
TranslatedAISystem mainly refers to AI systems, covering the full stack of underlying AI technologies, including AI chips, AI compilers, and AI inference and training frameworks
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
Anthropic's educational courses
Python training for business analysts and traders
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
TranslatedAn introductory LLM tutorial for developers, the Chinese version of Andrew Ng's large model course series
12 Weeks, 24 Lessons, IoT for All!
Course Files for Complete Python 3 Bootcamp Course on Udemy
YSDA course in Natural Language Processing
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A course in reinforcement learning in the wild
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Lectures on scientific computing with python, as IPython notebooks.
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Introduction to Statistics using Python