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Develop computer vision solutions in Azure

This course is intended for software developers wanting to build AI infused computer vision applications that leverage Microsoft Foundry and Azure Vision. Audience Profile This course was designed...

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By Request
$675 USD
Duration 1 day
Course Code AI-3004
Available Formats Classroom

Overview

This course is intended for software developers wanting to build AI infused computer vision applications that leverage Microsoft Foundry and Azure Vision. 

Audience Profile

This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Microsoft Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build solutions on Azure.

Prerequisites

Before starting this learning path, you should already have:

  • 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 one.

Course Details

Outline

  • Analyze images
    • Provision an Azure Vision resource
    • Analyze an image
    • Exercise - Analyze images
    • Module assessment
  • Read text in images
    • Explore Azure AI options for reading text
    • Read text with Azure Vision Image Analysis
    • Exercise - Read text in images
    • Module assessment
  • Detect, analyze, and recognize faces
    • 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
  • Classify images
    • Azure AI Custom Vision
    • Train an image classification model
    • Create an image classification client application
    • Exercise - Classify images
    • Module assessment
  • Detect objects in images
    • 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
  • Analyze video
    • Understand Azure Video Indexer capabilities
    • Extract custom insights
    • Use Video Analyzer widgets and APIs
    • Exercise - Analyze video
    • Module assessment
  • Develop a vision-enabled generative AI application
    • Deploy a multimodal model
    • Develop a vision-based chat app
    • Exercise - Develop a vision-enabled chat app
    • Module assessment
  • Generate images with AI
    • What are image-generation models?
    • Explore image-generation models in Microsoft Foundry portal
    • Create a client application that uses an image generation model
    • Exercise - Generate images with AI
    • Module assessment
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Schedule

Upcoming Course Dates

There are currently no scheduled dates for this course. If you are interested in this course, contact us with the form below.

Contact Information
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FAQ

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Reviews

had a good time with the course, however some topics were left out due to the compact amount of time for training.

The exit certified aws course provided a good introduction to the tools available on aws.

Great company -- easy to sign up and very organized. Loved my teacher and class overall.

The platform is very intuitive and easy to navigate. Great tool for learning

Provided good amount of material and a great instructor to teach the material.