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

Anthropic's educational platform for learning how to use Claude and develop effective workflows with generative AI and AI-assisted work.

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 collection of machine learning learning materials covering foundational concepts, practical techniques, and resources for developers and data practitioners.

Practical courses and learning paths covering machine learning, NLP, computer vision, reinforcement learning, and modern AI development using Hugging Face tools.

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

Short, hands-on micro-courses covering Python, data visualization, machine learning, SQL, deep learning, and other practical data science skills.

A practical introduction to machine learning from Google featuring explanations, visualizations, exercises, and coding practice covering core ML concepts and techniques.

Self-paced courses and training materials covering artificial intelligence, deep learning, accelerated computing, data science, and NVIDIA technologies.

Learning resources from the TensorFlow project covering machine learning fundamentals, model development, computer vision, NLP, and deploying TensorFlow applications.