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🔥 Trending Repository: generative-ai-for-beginners

📝 Description: 21 Lessons, Get Started Building with Generative AI

🔗 Repository URL: https://github.com/microsoft/generative-ai-for-beginners

📖 Readme: https://github.com/microsoft/generative-ai-for-beginners#readme

📊 Statistics:
🌟 Stars: 95.7K stars
👀 Watchers: 827
🍴 Forks: 50.1K forks

💻 Programming Languages: Jupyter Notebook - Python - JavaScript - TypeScript - Shell - PowerShell

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🧠 By: https://xn--r1a.website/DataScienceM

🤖🧠 Agent Lightning By Microsoft: Reinforcement Learning Framework to Train Any AI Agent

🗓️ 28 Oct 2025
📚 Agentic AI

Artificial Intelligence (AI) is rapidly moving from static models to intelligent agents capable of reasoning, adapting, and performing complex, real-world tasks. However, training these agents effectively remains a major challenge. Most frameworks today tightly couple the agent’s logic with training processes making it hard to scale or transfer across use cases. Enter Agent Lightning, a ...

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🤖🧠 Microsoft Data Formulator: Revolutionizing AI-Powered Data Visualization

🗓️ 28 Oct 2025
📚 AI News & Trends

In today’s data-driven world, visualization is everything. Whether you’re a business analyst, data scientist or researcher, the ability to convert raw data into meaningful visuals can define the success of your decisions. That’s where Microsoft’s Data Formulator steps in a cutting-edge, open-source platform designed to empower analysts to create rich, AI-assisted visualizations effortlessly. Developed by ...

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🔥 Trending Repository: Data-Science-For-Beginners

📝 Description: 10 Weeks, 20 Lessons, Data Science for All!

🔗 Repository URL: https://github.com/microsoft/Data-Science-For-Beginners

📖 Readme: https://github.com/microsoft/Data-Science-For-Beginners#readme

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🍴 Forks: 6.8K forks

💻 Programming Languages: Jupyter Notebook

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🧠 By: https://xn--r1a.website/DataScienceM

🎓 A Free AI Course for Beginners by Microsoft

For those just getting into artificial intelligence, Microsoft offers a free course.

It runs for 12 weeks and includes 24 lessons with theory, hands-on assignments, labs, and quizzes.

The curriculum covers neural networks and deep learning, computer vision, natural language processing, genetic algorithms, and AI ethics. For practice, it uses the two main ML frameworks—TensorFlow and PyTorch.

Each lesson follows the same structure: first, reading material, then a Jupyter notebook with code, and for some topics, a lab. The course is in English but has been translated into dozens of languages.

➡️ All materials and links are on GitHub
https://github.com/microsoft/AI-For-Beginners/blob/main/translations/ru/README.md

What's your AI level right now?

❤️ — Advanced user
🔥 — Almost zero

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