Summary
AI is disrupting businesses across industries—and enables fast-moving organizations to achieve superior business results across the board. AI can be a complex discipline, but the advancements in AI technologies make the adoption tangible for every business. Understanding which resources are available and when to use prebuilt AI or build custom machine learning models is vital.
This information prepares you to use AI in your organization, communicate with your data science team, and fully join the AI journey. Even employees without coding expertise can benefit thanks to AI embedded in everyday applications. While using and developing AI, remember to follow responsible AI practices.
After this module, you should:
- Understand basic AI terminology and concepts
- Articulate Microsoft’s approach to AI
- Identify scenarios in which copilots can benefit an organization
- Identify scenarios in which Power Platform can be used to integrate AI into business processes
- Identify scenarios where AI Services can be used to build custom AI solutions
- Identify scenarios where Azure Machine Learning enables organizations to train and manage AI models
Use these resources to discover more
Tip
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- Stay up to date with Microsoft AI. Visit our AI website.
- To learn more about Microsoft commitment to responsible AI, visit our Responsible AI website.
- To learn more about how AI in Microsoft 365, read AI in Microsoft 365.
- To learn more about our intelligent business applications, visit our Dynamics 365 AI homepage.
- To learn more about our low-code tools in Power Platform, visit our Power Platform website AI Builder homepage.
- To learn more about all the prebuilt AI models available at Azure AI Services, read our technical documentation on AI Services.
- To learn more about the models delivered by Azure OpenAI Service, read our technical documentation on Azure OpenAI Service.
- To learn more about privacy and security in Azure OpenAI Service, read our legal documentation on Azure OpenAI Service.