Mastering Microsoft Azure AI Fundamentals

Whizlabs combines AI and data-science foundations with Azure machine learning, vision, language and generative services. Demonstrations sit alongside conceptual explanations and module assessments. Its AI-900-oriented sequence is useful for understanding the earlier foundations syllabus, while learners pursuing certification need to check how its practical coverage compares with the current AI-901 requirements.

What you will learn

• Explore Azure AI and machine-learning principles.
• Compare vision and natural-language capabilities.
• Review Azure OpenAI and Foundry examples.

Who this suits

Beginner by the provider’s label. Preview the demonstrations to judge your Azure familiarity. The provider estimates two weeks at ten hours weekly, including activities; the description lists roughly seven hours of video.

Before you enroll

Microsoft retired AI-900 on June 30, 2026. Older AI-900 teaching can support conceptual study, but it should not be treated as current exam preparation. Check the official AI-901 objectives, including Python and Azure resource familiarity, before choosing a certification path. Course certificates are separate from Microsoft certification and exam fees. Azure exercises can incur charges; check service access, pricing and permissions, use fictional data and remove practice resources afterwards. Interfaces and service names can differ from older demonstrations.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Compare a vision and language service for a fictional document-processing task. Explain what each service receives and returns, identify an unsuitable input and note which current AI-901 skills would require additional practice.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

How YellowCourse describes and checks learning resources.

Supporting provider sources

• learn.microsoft.com: supporting course information
• learn.microsoft.com: supporting course information