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This certification is being retired on 30 June 2026

Microsoft is retiring Azure AI-102 on 30 June 2026. It is replaced by Microsoft AI-103: Azure AI App and Agent Developer Associate. The syllabus below is kept for reference so you can see how the two tracks compare. If you are studying now, start on the replacement exam instead.

See the AI-103 labs Browse every current track
Intermediate

Microsoft Azure AI-102: Designing and Implementing an AI Solution

Master the skills to design and implement AI solutions using Azure Cognitive Services, Azure Bot Service, and Azure Machine Learning.

12 hands-on labs 40 hours 6–8 weeks AI Engineers & Solution Architects

Syllabus

Module 1

Provisioning Azure OpenAI Resources

Learn to create, configure, and manage Azure OpenAI Service resources including model deployments and access controls.

  • Lab 1: Deploy an Azure OpenAI Instance
    45m
  • Lab 2: Configure Model Endpoints & API Keys
    30m
  • Lab 3: Implement Content Filtering Policies
    40m
Module 2

Implementing Computer Vision Solutions

Build and deploy production-grade image analysis, object detection, and OCR solutions with Azure AI Vision.

  • Lab 4: Analyze Images with Azure AI Vision
    45m
  • Lab 5: Custom Object Detection Pipeline
    60m
  • Lab 6: OCR & Document Intelligence
    50m
Module 3

Natural Language Processing with Azure

Implement text analytics, language understanding, and conversational AI using Azure AI Language services.

  • Lab 7: Sentiment Analysis & Entity Recognition
    40m
  • Lab 8: Build a Custom CLU Model
    55m
  • Lab 9: Question Answering with Knowledge Bases
    45m
Module 4

Building Conversational AI Bots

Design multi-turn dialogue flows, integrate knowledge bases, and deploy enterprise-grade bots.

  • Lab 10: Create a Bot with Azure Bot Framework
    50m
  • Lab 11: Integrate QnA Maker Knowledge Base
    40m
  • Lab 12: Deploy & Monitor in Production
    35m