A large collection of free, interactive programming curricula covering web development, JavaScript, Python, databases, data analysis, machine learning, and other software development topics.

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

A visual learning roadmap organizing data structures and algorithms topics into a structured path for developers preparing for coding interviews and strengthening problem-solving skills.

A community-maintained computer science curriculum that organizes freely available courses, books, lectures, and other resources into a structured path for self-directed study.

An open-source guide covering system design concepts, distributed systems, scalability, databases, networking, and architectures for large-scale software.

A curated self-study roadmap covering core computer science subjects such as algorithms, data structures, computer architecture, operating systems, networking, databases, and distributed systems.

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

A structured, project-based curriculum for learning web development through HTML, CSS, JavaScript, Git, databases, and backend development, with extensive hands-on projects.