AI-3004 | Build an Azure AI Vision solution with Azure AI services
 
To earn this Microsoft Applied Skills credential, learners demonstrate the ability to build computer vision solutions by using Azure AI Vision.
Candidates for this credential should have a solid understanding of working with Azure AI Vision models, both prebuilt and custom, through Vision Studio and in code. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.
 
Role
Developer
AI Engineer
App Maker
 
Tasks performed
Create a computer vision resource
Analyze images
Create a custom image analysis model
Train and evaluate the model
Consume a custom model
 
Course Outline
Module 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.
Introduction
Provision an Azure AI Vision resource
Analyze an image
Generate a smart-cropped thumbnail and remove background
Exercise - Analyze images with Azure AI Vision
Knowledge check
Summary
After completing this module, you'll be able to:
Provision an Azure AI Vision resource
Analyze an image
Generate a smart-cropped thumbnail
Module 2: Image classification with custom Azure AI Vision models
Classify images by training a custom model with Azure AI Vision.
Introduction
Understand custom model types
Create a custom project
Label and train a custom model
Exercise - Classify images with an Azure AI Vision custom model
Knowledge check
Summary
After completing this module, you'll be able to:
Create a custom Azure AI Vision classification model
Understand image classification
Understand object detection
Train an image classifier in Vision Studio
Module 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.
Introduction
Identify options for face detection analysis and identification
Understand considerations for face analysis
Detect faces with the Azure AI Vision service
Understand capabilities of the face service
Compare and match detected faces
Implement facial recognition
Exercise - Detect, analyze, and identify faces
Knowledge check
Summary
After completing this module, you'll be able to:
Identify options for face detection, analysis, and identification.
Understand considerations for face analysis.
Detect faces with the Computer Vision service.
Understand capabilities of the Face service.
Compare and match detected faces.
Implement facial recognition.
Module 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).
Introduction
Explore Azure AI Vision options for reading text
Use the Read API
Exercise - Read text in images
Knowledge Check
Summary
In this module, you'll learn how to:
Read text from images using OCR
Use the Azure AI Vision service Image Analysis with SDKs and the REST API
Develop an application that can read printed and handwritten text
Module 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.
Introduction
Understand Azure Video Indexer capabilities
Extract custom insights
Use Video Analyzer widgets and APIs
Exercise - Analyze video
Knowledge check
Summary
After completing this module, you'll be able to:
Describe Azure Video Indexer capabilities
Extract custom insights
Use Azure Video Indexer widgets and APIs
 
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Debido a las constantes actualizaciones de los contenidos de los cursos por parte del fabricante, el contenido de este temario puede variar con respecto al publicado en el sitio oficial, sin embargo, Netec siempre entregará la versión actualizada de éste.