Computer Vision in Microsoft Azure

Microsoft surveys managed Azure capabilities for analyzing images, detecting objects and working with face, text or receipt data. The course is a service-based route into computer vision rather than a sequence on training every model from scratch. Check the current service landscape when comparing its exercises.

What you will learn

• Identify managed services for image analysis.
• Explain a custom object-detection workflow.
• Compare image, text and document-processing capabilities.

Who this suits

Beginners with basic computer literacy; general programming experience can help according to Microsoft.

Before you enroll

Check current Azure service names, availability and access restrictions, especially for face-related features. Use permitted sample images and review cloud-usage charges outside enrollment.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Design a receipt-processing experiment using fictional receipts. Define the fields to extract and check the output against a manually prepared answer sheet.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

How YellowCourse describes and checks learning resources.