A free practical course covering the concepts, architecture, development practices, and engineering considerations involved in building production-ready AI agents.

An open-source AI coding agent that can work with codebases through an IDE, terminal, and development tools to assist with software engineering tasks.

Free courses and research resources focused on making deep learning practical, with hands-on lessons covering computer vision, NLP, tabular data, and model deployment.

Google's AI research organization producing research, publications, models, and technical work across artificial intelligence and machine learning.

Practical data science challenges where participants build models and solutions against real-world datasets while developing skills through experimentation and competition.

An open-source framework for building applications and agents powered by language models, with integrations for models, tools, retrieval, databases, and agent workflows.

A startup support program offering eligible technology companies access to resources such as training, technical support, cloud credits, networking, and other development benefits.

An open-source platform for running and managing large language models locally, making it easier to experiment with and develop applications using local AI models.

Documentation and learning material for Polars, a high-performance DataFrame library supporting data manipulation and analysis through Python, R, and Node.js APIs.

An open-source machine learning framework for building, training, evaluating, and deploying models across applications ranging from research to production systems.