Best of
A practical comparison of where to learn AI if you're not a developer -- covering the major platforms, what each is actually good at, and who each one fits best.
Most "learn AI" content online is written for developers -- heavy on code, light on the day-to-day workflows that business professionals actually deal with. The platforms below take different approaches, at different depths, for different audiences. None of them is the right answer for everyone, so this list focuses on who each one actually suits rather than ranking them from best to worst.
Self-paced, project-based courses
Best for: Business professionals who want project-based, non-technical training focused on real workflows -- writing, research, ROI, policy, and process -- rather than programming.
No coding required. Built specifically for roles like managers, marketers, consultants, and operators rather than developers.
Video lectures, quizzes, structured syllabi
Best for: Learners who want university- and company-backed courses, certificates, and structured multi-week programs, often for career credentials.
Large catalog spanning many disciplines beyond AI. Strong if you want a recognized certificate alongside your learning.
Pre-recorded video courses, purchased individually
Best for: Self-directed learners who want a huge selection of low-cost, single-purchase video courses on specific tools or techniques.
Quality and depth vary by instructor. Good for narrow, tactical skills rather than a guided curriculum.
Short video courses, subscription access
Best for: Professionals who already have a LinkedIn Premium or corporate LMS subscription and want short, skills-based video courses.
Convenient if your employer already provides access. Courses tend to be broad overviews rather than deep, applied projects.
Short self-paced course, certificate on completion
Best for: Beginners who want a short, foundational introduction to generative AI concepts from Google, often as a first step before deeper learning.
Good general-audience primer. Less focused on business-specific workflows or hands-on projects.
Learning paths and modules within Microsoft's training platform
Best for: Professionals working inside the Microsoft 365 ecosystem who want AI training tied closely to Copilot and Microsoft tools.
Strong if your work already centers on Word, Excel, and Outlook. Less useful if your stack is tool-agnostic.
Structured courses, some leading to professional certificates
Best for: Learners interested in more formal, foundational AI and data-science education, sometimes leading into technical or certificate tracks.
Tends to skew more technical than most business audiences need day to day.
Structured video courses, often multi-week
Best for: Learners who want to go deeper into how AI and machine learning actually work, including more technical or semi-technical audiences.
Excellent for conceptual depth. Not aimed primarily at non-technical business workflows.
Interactive, code-based exercises
Best for: Learners interested in the data and analytics side of AI, including hands-on coding practice.
A good fit if part of your goal involves data skills. Less relevant if you don't plan to write code.
Live cohort-based courses with a fixed schedule
Best for: Professionals who want live, cohort-based courses taught by practitioners, often with direct instructor interaction.
Great if you want real-time discussion and accountability. Requires showing up at scheduled times rather than learning at your own pace.
If you're non-technical