Pluralsight vs fast.ai

Pluralsight is a technology skills platform for individuals and organizations building expertise in AI, cloud, security, data, and software development. The library includes 6,500+ expert-led courses, 800+ learning paths, 500+ Skill IQ assessments, 3,500+ hands-on labs, certification prep, and sandboxes for practice in secure environments.

Iris, Pluralsight's conversational AI assistant, uses retrieval augmented generation on top of the course library to recommend learning paths, answer technical questions, provide coding help, and run in-the-moment knowledge checks. Individual plans are organized around Core Tech and specialty add-ons (AI+, Cloud+, Data+, Security+), with a Complete plan that bundles the full library.

For enterprises, Pluralsight offers team analytics, integrations, professional services, and programs like AI Academy, Cloud Ready, and Secure Ready. The company reports 2,500+ expert authors, 22,000 business customers, and use by 70% of the Fortune 500.

fast.ai teaches deep learning through free online courses built for coders who may not have a PhD or a giant GPU budget. The site hosts Practical Deep Learning for Coders, the newer How to Solve It With Code track on Solveit, and a long-running blog on AI ethics, education, and research from founders Jeremy Howard and Rachel Thomas.

Most ML courses assume you already know linear algebra and can navigate academic papers. fast.ai flips that: you start by training useful models in the first lesson, then peel back the theory as you go. The companion fastai PyTorch library and nbdev notebook tooling are open source, so what you learn in the videos maps directly to production code rather than toy exercises.

Students, career switchers, and working developers who want hands-on deep learning without gatekeeping use fast.ai. The nonprofit research institute joined Answer.AI in 2024 while keeping its courses and libraries free, and its work has been covered by The Economist, The New York Times, and MIT Technology Review.