Develop computer vision solutions in Azure

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:

• Familiarity with Azure and the Azure portal.
• Experience programming with C# or Python.

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.

• Introduction
• Provision an Azure AI Vision resource
• Analyze an image
• Exercise - Analyze images
• Module assessment
• Summary

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).

• Introduction
• Explore Azure AI options for reading text
• Read text with Azure AI Vision Image Analysis
• Exercise - Read text in images
• Module assessment
• Summary

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.

• Introduction
• Plan a face detection, analysis, or recognition solution
• Detect and analyze faces
• Verify and identify faces
• Responsible AI considerations for face-based solutions
• Exercise - Detect and analyze faces
• Module assessment
• Summary

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.

• Introduction
• Azure AI Custom Vision
• Train an image classification model
• Create an image classification client application
• Exercise - Classify images
• Module assessment
• Summary

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.

• Introduction
• Use Azure AI Custom Vision for object detection
• Train an object detector
• Develop an object detection client application
• Exercise - Detect objects in images
• Module assessment
• Summary

Analyze video

Azure Video Indexer is a service to extract insights from video, including face identification, text recognition, object labels, scene segmentations, and more.

• Introduction
• Understand Azure Video Indexer capabilities
• Extract custom insights
• Use Video Analyzer widgets and APIs
• Exercise - Analyze video
• Module assessment
• Summary

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.

• Introduction
• Deploy a multimodal model
• Develop a vision-based chat app
• Exercise - Develop a vision-enabled chat app
• Module assessment
• Summary

Generate images with AI

In Azure AI Foundry, you can use image generation models to create original images based on natural language prompts.

• Introduction
• What are image-generation models?
• Explore image-generation models in Azure AI Foundry portal
• Create a client application that uses an image generation model
• Exercise - Generate images with AI
• Module assessment
• Summary