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Databricks Free Edition: Learn Data and AI Skills for Free

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@databricks

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06 July 2025 17h55

Now, students and hobbyists can learn data + AI skills using the same tools trusted by millions of enterprise professionals at no cost.

With Databricks Free Edition, users can:
🛠️ Build AI agents and apps with Mosaic AI
📘 Collaborate on data science and ML projects
📈 Create AI… pic.twitter.com/BwfG07forG
— Databricks (@databricks) 6 juillet 2025

Now, students and hobbyists can learn data + AI skills using the same tools trusted by millions of enterprise professionals at no cost. With Databricks Free Edition, users can: Build AI agents and apps with Mosaic AI Collaborate on data science and ML projects Create AI

Hands on AI Engineering: LLM Applications and Agentic Systems

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06 July 2025 16h15

9. Hands on AI Engineering Curated repository of AI-powered applications and agentic systems showcasing practical use cases of Large Language Models (LLMs) Check this out:

Machine Learning for Beginners Course from Microsoft

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06 July 2025 16h15

8. Machine Learning for Beginners from Microsoft Check this out:

Designing Machine Learning Systems: Book Summaries and Resources

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06 July 2025 16h15

7. Designing Machine Learning Systems This repo contains the summaries and resources for Designing Machine Learning Systems book Check this out:

GenAI Agents: Tutorials and Implementations Guide

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06 July 2025 16h15

3. GenAI Agents This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems. Check this out:

Free 11-Lesson Course on Building AI Agents for Beginners

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06 July 2025 16h15

2. AI Agents for Begineers Beginner friendly course on AI Agents This Free 11-lesson course will teach you everything you need to get started with building AI agents. Check this out:

Hands on Large Language Models: Complete Notebook Guide

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06 July 2025 16h15

1. Hands on Large Language Models This repository contains notebook examples that cover everything from the introduction to language models to fine-tuning them. Check this out: