Microsoft

Microsoft's AI/ML education that we list consists of its open-source "for Beginners" curricula published by Microsoft Cloud Advocates on GitHub: Generative AI for Beginners (21 lessons, 112,000+ GitHub stars), Machine Learning for Beginners (12 weeks / 26 lessons / 52 quizzes, ~86,900 stars), and AI for Beginners (24 lessons, ~48,200 stars). All three are completely free under the MIT license, fully self-paced, and structured as project-based curricula with quizzes, Jupyter notebooks, and runnable code in Python, TypeScript, or .NET. These are genuinely high-quality teaching materials, but they are coursework repositories, not graded programs, and they issue no completion certificate of their own. This overview is an independent editorial assessment based on Microsoft's public repositories and aggregated public signals (GitHub adoption, Class Central listing); we have reviewed the published curricula but not every individual lesson.

Best for: Self-directed learners, students, and working developers who want a free, well-organized, hands-on path into machine learning, deep learning, or generative AI and are comfortable working in GitHub, Jupyter notebooks, and Python/TypeScript. Especially strong for people who already use or plan to use the Microsoft/Azure ecosystem, and for educators looking for ready-made, translatable (50+ languages) course material.

Look elsewhere if: Anyone who needs a recognized credential, transcript, or verifiable certificate to show employers, since these specific curricula do not award one. Also not ideal for complete non-coders who want a guided, hand-held video experience, or for learners who need instructor support, deadlines, and accountability, because everything is self-paced with no cohort, mentor, or graded feedback.

Pricing: Free and open-source. All three curricula are published on GitHub under the MIT license at no cost, with no subscription, per-course fee, or audit restriction. The only potential out-of-pocket cost is optional cloud/API usage (e.g., Azure OpenAI or OpenAI API) for certain generative AI coding exercises, which is separate from the course.

Certificates: These specific 'for Beginners' curricula do not grant a certificate of completion, so their value is the skills and portfolio projects you build, not a credential. They function well as preparation or self-study, but employers cannot verify them as a qualification. Learners who need an employer-recognized Microsoft credential should look at Microsoft's separate paid certification exams such as Azure AI Engineer Associate or Azure AI Fundamentals, which are well regarded within Microsoft/Azure-centric organizations but are reported to carry somewhat narrower cross-employer recognition than the leading Google and AWS ML credentials.