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- Cloud
Designing and Implementing a Microsoft Azure AI Solution (AI-102)
The *Designing and Implementing a Microsoft Azure AI Solution (AI-102)* learning path builds the foundational knowledge required to design, implement, and manage end-to-end AI solutions on Microsoft Azure. Learners will develop core skills in working with Azure AI services, including generative AI, computer vision, natural language processing, knowledge mining, and conversational agents, while applying responsible AI principles to build secure, scalable, and production-ready intelligent applications.
- Plan and Manage an Azure AI Solution - Implement generative AI solutions
- Implement an agentic solution
- Implement computer vision solutions
- Implement natural language processing solutions
- Implement knowledge mining and information extraction solutions
Content in this path
Path Courses
Watch the following courses to start preparing for the Designing and Implementing a Microsoft Azure AI Solution (AI-102) certification.
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Build confidence to ace your certification exam with a variety of prep tools, including video courses, labs, and practice exams.
What You'll Learn
- ##What You Will Learn##
- Plan and Manage an Azure AI Solution
- Implement generative AI solutions
- Implement an agentic solution
- Implement computer vision solutions
- Implement natural language processing solutions
- Implement knowledge mining and information extraction solutions
- As an Azure AI engineer, you have experience developing solutions that use languages such as:
- Python
- C#
- You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should:
- Understand the components that make up the Azure AI portfolio and the available data storage options.
- Be able to apply responsible AI principles.
- Microsoft Azure
- AI Solutions
- Artificial Intelligence
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