Microsoft Generative AI for Beginners

Microsoft’s open generative AI curriculum pairs conceptual lessons with application-oriented examples. It offers a flexible route for understanding model use, prompting, and the design choices around generative applications. The source repository also makes it possible to inspect dependencies and adapt examples to a small project of your own.

What you will learn

• Explain generative model application patterns
• Structure useful model instructions
• Work through practical application lessons
• Assess model output and responsible-use considerations

Who this suits

Useful for a learner comfortable reading code who wants an open curriculum before specializing in a framework. Conceptual lessons can be read separately, while implementation exercises require the relevant language and environment preparation.

Before you enroll

Service accounts, API keys, and cloud resources vary by lesson and can create usage charges. Check the selected example’s setup instructions and current dependencies. Keep evaluation visible as you extend a demonstration with your own data or interface.

The learning repository is free. Model and hosting services have their own terms and limits. No separate professional certification is implied by completing the lessons.

Put it into practice

Build a narrow application from one lesson using material you can verify. Compare its answers with the source and record one useful result and one failure.

Source and review

This overview is based on the provider's published information, checked on 11 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 Microsoft.

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