Microsoft's AI offering is easy to overlook, but for the right person it is one of the better value paths in this whole space. The structure is simple. Microsoft Learn hosts free, well-built learning paths that cover the fundamentals of machine learning, computer vision and natural language processing, and those paths double as the official preparation for the AI-900 Azure AI Fundamentals certification. The teaching is clear and the modules are sensibly sequenced, and the fact that all of it is free to study means there is genuinely no risk in starting.
The AI-900 exam itself costs around 99 dollars, which is cheap as certifications go, and it is a credential employers recognise, particularly the many organisations that already run on Microsoft and Azure. It is also worth knowing that Microsoft frequently runs virtual training days and skills events that hand out vouchers covering the full exam fee, so with a bit of timing you can end up certified for nothing. The honest caveat is right there in the name, this is Azure AI Fundamentals. Everything is taught through the lens of Microsoft's own services, so you are learning how AI works and how Microsoft packages it at the same time, and that is great if your world is already Microsoft-shaped and less useful if it is not.
The other thing to be clear-eyed about is the level. AI-900 is foundational by design, it gives you literacy and a recognised badge, but it will not on its own make you a machine learning engineer or qualify you for a technical AI role, and the experience leans more toward understanding concepts and clicking through services than building things from scratch. My take is straightforward. If you are in or adjacent to the Microsoft ecosystem and you want a credible, low-cost credential to put on your CV, the free Learn paths plus the AI-900 exam are an easy recommendation.
If you want vendor-neutral understanding or a qualification that proves hands-on engineering ability, use this as a confidence-building first rung and plan to climb past it.