Microsoft Applied Skills- Build an Azure AI Vision solution

Microsoft Applied Skills: Build an Azure AI Vision solution, available at $19.99, has an average rating of 3.95, with 36 lectures, 1 quizzes, based on 38 reviews, and has 283 subscribers.

You will learn about Create a computer vision resource Analyze images Create a custom image analysis model Train and evaluate the model Consume a custom model This course is ideal for individuals who are This is for you if you want Artificial Intelligence to analyse images, and return captions, tags, text, common objects and locations of people or This course will guide you through the skills required for the Microsoft Applied Skills credential Build an Azure AI Vision solution. It is particularly useful for This is for you if you want Artificial Intelligence to analyse images, and return captions, tags, text, common objects and locations of people or This course will guide you through the skills required for the Microsoft Applied Skills credential Build an Azure AI Vision solution.

Enroll now: Microsoft Applied Skills: Build an Azure AI Vision solution

Summary

Title: Microsoft Applied Skills: Build an Azure AI Vision solution

Price: $19.99

Average Rating: 3.95

Number of Lectures: 36

Number of Quizzes: 1

Number of Published Lectures: 36

Number of Published Quizzes: 1

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 37

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Create a computer vision resource

Analyze images

Create a custom image analysis model

Train and evaluate the model

Consume a custom model

Who Should Attend

This is for you if you want Artificial Intelligence to analyse images, and return captions, tags, text, common objects and locations of people

This course will guide you through the skills required for the Microsoft Applied Skills credential Build an Azure AI Vision solution.

Target Audiences

This is for you if you want Artificial Intelligence to analyse images, and return captions, tags, text, common objects and locations of people

This course will guide you through the skills required for the Microsoft Applied Skills credential Build an Azure AI Vision solution.

This course goes through all of the skills required for the Microsoft Applied Skills: Build an Azure AI Vision solution.

This can also help with Microsoft AI-102 “Designing and Implementing a Microsoft Azure AI Solution” exam, with “Implement computer vision solutions”.

In this 2? hour course we’ll cover the skills that you need for the APL-3004 Microsoft Applied Skills credential for Azure AI Vision.

The tasks that you need to perform to get this skill are:

Create a computer vision resource and analyze images. We’ll create a computer vision resource in a free Azure subscription, and use it to analyze images. We’ll create captions and dense captions, looking at the results in text and in JSON format, before looking at other features.

Create, train, evaluate and consume a custom image analysis model. After that, we’ll create a custom image analysis model. We will train it to recognise three different types of products, and then test it so that it can identify them in new photos.

Programming in C#. Finally, we’ll find out how to analyse images in code. We’ll use Visual Studio and customise code to connect to both the computer vision and the custom image resources, and use them to analyse images and return the analysis.

We’ll go through several practical examples, so you can see how you can analyse your own images.

By the end of the course, you’ll be much more confident about using building an Azure AI Vision solution and perhaps even take the official Microsoft assessment. That would look great on your CV or resume.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Welcome to Udemy

Lecture 3: How to get the best out of your Udemy course

Lecture 4: Do you want auto-translated subtitles in more languages?

Lecture 5: Curriculum

Lecture 6: Resources

Chapter 2: Creating a computer vision resource and analyzing images

Lecture 1: Creating an Azure account, and exploring Azure interface

Lecture 2: 2. Creating a Computer vision resource

Lecture 3: 1, 3. Adding captions and dense captions to images

Lecture 4: 1, 3. Other Image Analysis models

Lecture 5: Practice Activity 1

Lecture 6: Practice Activity 1 – The Solution

Chapter 3: Creating and training a custom image analysis model

Lecture 1: Creating a Custom Vision Resource

Lecture 2: 8, 10. Creating a custom image analysis model

Lecture 3: 11, 12, 13, 14. Training, evaluating and consuming the custom model

Lecture 4: Practice Activity 2

Lecture 5: Practice Activity 2 – The Solution

Chapter 4: Other AI Vision features

Lecture 1: Face detection

Lecture 2: Video analysis

Lecture 3: Create a custom image analysis model in Vision Studio

Chapter 5: Analyzing images using C#

Lecture 1: Downloading Visual Studio Community

Lecture 2: Downloading the NuGet package

Lecture 3: Creating a new project, looking around VS, and downloading a NuGet package

Lecture 4: 6. Implementing the ImageAnalyzer in C#

Lecture 5: Investigating the ImageAnalyzer

Lecture 6: Investigating the ImageAnalyzerResult

Lecture 7: 7. Implementing the ImageAnalyzerResult object in C#

Lecture 8: 7. Using the ImageAnalyzer and ImageAnalyzerResult in Python

Lecture 9: Downloading NuGet in Visual Studio Code

Lecture 10: Using C# in Visual Studio Code

Chapter 6: Analyzing images using a custom model using C# and Python

Lecture 1: 15, 16, 17. Using Custom Models in C#

Lecture 2: 15, 16, 17. Using Custom Models in Python

Lecture 3: Deleting unneeded resource groups

Chapter 7: Congratulations for completing the course

Lecture 1: Whats Next?

Lecture 2: Congratulations for completing the course

Lecture 3: Bonus Lecture – AI Microsoft Applied Skills

Instructors

Phillip Burton
Best Selling Instructor – over 800,000 students so far

I Do Data Limited
Improve your skills in SQL, Office, Tableau, Power BI + more

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 9 votes

4 stars: 14 votes

5 stars: 14 votes

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