AI - 3004 : Create computer vision solutions with Azure AI Vision
This course introduces Azure AI Vision services for building computer vision solutions. Learn how to implement visual perception tasks using various Azure AI Vision services to handle common computer vision scenarios.
Instructor
AI - 3004 : Create computer vision solutions with Azure AI Vision Training
AI - 3004 : Create computer vision solutions with Azure AI Vision
AI-3004: Create Computer Vision Solutions with Azure AI Vision certification is a hypothetical credential that would demonstrate expertise in implementing computer vision solutions using Microsoft Azure AI services. This certification would cover concepts such as analyzing images and videos for insights, automating image-processing tasks, and building and deploying vision-based AI models. Industries use this certification to validate the skills of professionals who develop applications that can interpret visual data, which is increasingly important in fields like retail for inventory management, manufacturing for quality control, and security for surveillance systems. It showcases a practical understanding of Azure's computer vision tools and how to apply them to solve real-world problems.
Audience Profile:
This course is intended for AI Engineers and Developers looking to build solutions using Azure AI services, such as Azure Computer Vision, Azure Face, and Azure AI Video Indexer.
Prerequisites:
Familiarity with Azure and the Azure portal
Experience programming with C# or Python
For those with no programming experience, it is recommended to complete "Take your first steps with C#" or "Take your first steps with Python" learning paths before starting this course
Course Outline:
Module 1: Analyze Images
Provision an Azure AI Vision resource.
Analyze an image.
Generate a smart-cropped thumbnail.
Module 2: Image Classification with Custom Azure AI Vision Models
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
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
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.
AI-3004: Create Computer Vision Solutions with Azure AI Vision certification is a hypothetical credential that would demonstrate expertise in implementing computer vision solutions using Microsoft Azure AI services. This certification would cover concepts such as analyzing images and videos for insights, automating image-processing tasks, and building and deploying vision-based AI models. Industries use this certification to validate the skills of professionals who develop applications that can interpret visual data, which is increasingly important in fields like retail for inventory management, manufacturing for quality control, and security for surveillance systems. It showcases a practical understanding of Azure's computer vision tools and how to apply them to solve real-world problems.
Audience Profile:
This course is intended for AI Engineers and Developers looking to build solutions using Azure AI services, such as Azure Computer Vision, Azure Face, and Azure AI Video Indexer.
Prerequisites:
Familiarity with Azure and the Azure portal
Experience programming with C# or Python
For those with no programming experience, it is recommended to complete "Take your first steps with C#" or "Take your first steps with Python" learning paths before starting this course
Course Outline:
Module 1: Analyze Images
Provision an Azure AI Vision resource.
Analyze an image.
Generate a smart-cropped thumbnail.
Module 2: Image Classification with Custom Azure AI Vision Models
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
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
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
Describe Azure Video Indexer capabilities.
Extract custom insights.
Use Azure Video Indexer widgets and APIs.
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Live Online Training (Duration : 8 Hours)
