AI-102 - Microsoft Certified: Azure AI Engineer Associate Study Guide 2026

Key Competencies (4)

• 1

  Plan, Create, and Deploy a Microsoft Foundry Service

  Develop and implement Azure AI services adhering to responsible AI principles.

• 2

  Implement AI Solutions Responsibly

  Ensure AI solutions adhere to ethical standards and responsible AI practices.

• 3

  Manage, Monitor, and Secure a Microsoft Foundry Service

  Oversee the operation, cost, and security of Azure AI services.

• 4

  Select the Appropriate Microsoft Foundry Services

  Identify the suitable Azure AI services for various AI solutions.

Key Competencies (3)

• 1

  Build Generative AI Solutions with Microsoft Foundry

  Develop and deploy generative AI models tailored to specific use cases.

• 2

  Optimize and Operationalize a Generative AI Solution

  Enhance and manage the performance and deployment of generative AI models.

• 3

  Use Azure OpenAI in Foundry Models to Generate Content

  Leverage Azure OpenAI services to generate various content types.

Key Competencies (2)

• 1

  Create Custom Agents

  Develop and deploy AI agents tailored to specific roles and use cases.

• 2

  Develop Complex Agents

  Implement complex agents with Microsoft Agent Framework for multi-agent solutions.

Key Competencies (3)

• 1

  Implement Custom Vision Models

  Develop and deploy custom vision models for specific image processing tasks.

• 2

  Analyze Images

  Implement image analysis features to extract insights from images.

• 3

  Analyze Videos

  Implement video analysis solutions to extract insights from video content.

Key Competencies (3)

• 1

  Implement Custom Language Models

  Develop and deploy custom language models for specific NLP tasks.

• 2

  Process and Translate Speech

  Implement speech processing and translation features to handle audio data.

• 3

  Analyze and Translate Text

  Implement text analysis and translation features to process and understand text data.

Key Competencies (3)

• 1

  Implement an Azure Document Intelligence in Foundry Tools Solution

  Develop and deploy document intelligence solutions to extract data from documents.

• 2

  Extract Information with Azure Content Understanding in Foundry Tools

  Implement solutions to extract and process information from various content types.

• 3

  Implement an Azure AI Search Solution

  Develop and deploy search solutions to index and query data.