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The best free DeepLearning.AI AI courses, curated

Founded by Andrew Ng, DeepLearning.AI teaches the practical AI skills the industry actually uses. Its 100+ short courses (built with OpenAI, Anthropic, Google, Meta and others) are completely free, and its famous specializations can be audited for free on Coursera. Below is where to start, from a non-technical overview to hands-on model building.

These are curated links to courses published by DeepLearning.AI (and hosted on deeplearning.ai or Coursera). All content belongs to DeepLearning.AI and its partners. AnybodyCanAI is not affiliated with, sponsored by, or endorsed by DeepLearning.AI. The DeepLearning.AI name is used only to identify the source of each course.

Short Courses
Featured
Beginner
Fully public

DeepLearning.AI Short Courses

100+ free, hands-on courses on the latest AI tools

Andrew Ng, DeepLearning.AI & partners · Continuously updated · DeepLearning.AI

PromptingLLM AppsRAGAgentsGenerative AIHands-on

Summary

A large, fast-moving library of free short courses (typically 1–3 hours) built with partners like OpenAI, Anthropic, Google and Meta — covering prompt engineering, building LLM apps, RAG, agents and more, usually with runnable notebooks.

Our take

The single best free resource for keeping current with applied AI. Each course is genuinely free, practical, and short enough to finish in an afternoon — perfectly on-mission for anyone who wants to *build* with AI.

Schedule

Lecture topics and dates rotate each offering — we link straight to DeepLearning.AI's official schedule and syllabus so it's always current.

Full schedule & syllabus

Access

All short courses are free; most include hands-on notebooks you run in-browser.

Materials & links

Source: DeepLearning.AI — all links open on the provider's own site.

ML Spec
Featured
Beginner
Free to audit, certificate paid

Machine Learning Specialization

Andrew Ng's foundational ML program

Andrew Ng · Coursera (DeepLearning.AI + Stanford Online) · DeepLearning.AI

Machine LearningSupervised LearningNeural NetworksPython

Summary

The modern remake of Andrew Ng’s legendary ML course: supervised and unsupervised learning, regression, classification, neural networks and practical ML advice, taught from the ground up in Python.

Our take

The most popular on-ramp to machine learning, period. The lectures are free to audit, so you can learn the whole curriculum without paying — a superb structured foundation.

Schedule

Lecture topics and dates rotate each offering — we link straight to DeepLearning.AI's official schedule and syllabus so it's always current.

Full schedule & syllabus

Access

Free to audit on Coursera (video lectures). Graded labs and the certificate require a subscription or financial aid.

Materials & links

Source: DeepLearning.AI — all links open on the provider's own site.

Links verified 2026-09-12. Course terms and materials rotate each offering.DeepLearning.AI course catalog