Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI includes multiple services that support common computer vision scenarios.
Prerequisites
Before starting this learning path, you should already have:
Modules
Analyze images
With the Azure AI Vision service, you can use pre-trained models to analyze images and extract insights and information from them.
Read text in images
The Azure AI Vision Image Analysis service uses algorithms to process images and return information. This module teaches you how to use the Image Analysis API for optical character recognition (OCR).
Detect, analyze, and recognize faces
The ability for applications to detect human faces, analyze facial features and emotions, and identify individuals is a key artificial intelligence capability.
Classify images
Image classification is used to determine the main subject of an image. You can use the Azure AI Custom Vision services to train a model that classifies images based on your own categorizations.
Detect objects in images
Object detection is used to locate and identify objects in images. You can use Azure AI Custom Vision to train a model to detect specific classes of object in images.
Analyze video
Azure Video Indexer is a service to extract insights from video, including face identification, text recognition, object labels, scene segmentations, and more.
Develop a vision-enabled generative AI application
A picture says a thousand words, and multimodal generative AI models can interpret images to respond to visual prompts. Learn how to build vision-enabled chat apps.
Generate images with AI
In Azure AI Foundry, you can use image generation models to create original images based on natural language prompts.
Develop computer vision solutions in Azure
28.8.2025 Online ILO, Online, Online Online
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