Create Computer Vision Solutions with Azure AI Vision – Intensive Training («AI3X4»)

• Creating a custom Azure AI Vision classification model
• Understanding image classification, object detection, considerations and capabilities for face analysis and identification
• Training an image classifier in Vision Studio
• Implementing facial recognition
• Reading text from images using OCR
• Using the Azure AI Vision service Image Analysis with SDKs and the REST API
• Developing an application that can read printed and handwritten text
• Describing Azure Video Indexer capabilities
• Extracting custom insights
• Using Azure Video Indexer widgets and APIs

1 Analyze images
With the Azure AI Vision service, you can use pre-trained models to analyze images and extract insights and information from them.

2 Image classification with custom Azure AI Vision models
Classify images by training a custom model with Azure AI Vision.

3 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.

4 Read Text in images and documents with the Azure AI Vision Service
Azure's AI Vision 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).

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

The audience for this course includes AI engineers and developers.

• Familiarity with Azure and the Azure portal
• Experience programming with C# or Python
• If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this workshop

This workshop is integrated into the course AI-102: Designing and Implementing a Microsoft Azure AI Solution.