Develop an Azure AI Vision Solution (AI-3002)

What you'll learn

• Analyse images using the Azure AI Vision API: tags, captions, objects and smart crops.
• Perform OCR and text extraction from images and documents with Azure AI Vision Read.
• Detect and recognise faces using Azure AI Face service with responsible AI principles.
• Train custom image classification and object detection models with Custom Vision.
• Integrate Azure AI Vision into real applications using REST API and Python SDK.

Who should attend?

This training is ideal for developers, cloud engineers and AI practitioners who build applications using Azure AI Services. It targets those preparing for the Microsoft Applied Skills assessment for AI-3002 or integrating vision capabilities into enterprise applications.

Prerequisites

• Azure AI-900 recommended but not mandatory.
• Basic Python or C# programming skills.
• Familiarity with REST APIs and JSON responses.

Course curriculum

Module 1 – Azure AI Vision overview

Introduction to Azure AI Vision services, service tiers, regional availability, authentication and API fundamentals.

Module 2 – Image analysis & classification

Analysing images for tags, objects, captions and brands; building custom image classifiers with Custom Vision portal and SDK.

Module 3 – Object detection & spatial analysis

Detecting objects and their bounding boxes, spatial analysis use cases in retail and manufacturing environments.

Module 4 – OCR & Document Intelligence

Extracting printed and handwritten text with the Read API, integrating with Azure AI Document Intelligence for structured document processing.

Module 5 – Face detection & recognition

Detecting faces and analysing attributes, responsible AI constraints for face recognition, Azure Face API in practice.

Module 6 – Assessment preparation

End-to-end lab building a vision solution from scratch, review of Applied Skills assessment structure and scenarios.

Certification exam

• Assessment: Microsoft Applied Skills – Develop an Azure AI Vision Solution.
• Format: Lab-based applied skills assessment.
• Duration: 2 hours.
• Language: English.
• Credential: Official Microsoft Applied Skills badge.

Why this certification matters

• Add verified computer vision credentials to your Azure AI portfolio.
• Build real-world skills in OCR, face detection and image classification.
• Recognised by Microsoft as an official Applied Skills credential.
• Natural stepping stone toward AI-102 Azure AI Engineer Associate.

What's next?

After this credential, learners typically progress to AI-3003 (NLP), AI-102 Azure AI Engineer Associate, or AI-050 (Generative AI with Azure OpenAI), building a comprehensive Azure AI specialist profile.