Microsoft Azure Cognitive Services Crash Course
4.9 (13 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
122 students enrolled

Microsoft Azure Cognitive Services Crash Course

Build Smart Applications in Minutes
Highest Rated
4.9 (13 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
122 students enrolled
Created by Reza Salehi
Last updated 6/2020
English
English [Auto]
Current price: $48.99 Original price: $69.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 4.5 hours on-demand video
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Create smart software with Azure Cognitive Services.
  • Prepare for Microsoft Exam AI-100: Designing and Implementing an Azure AI Solution
  • Understand when to use Azure Cognitive Service
  • Understand when Azure Cognitive Services shines comparing to custom Machine Learning
  • You don't need any prior knowledge of AI or Machine Learning!
Requirements
  • Basic familiarity with the Azure Portal is helpful
  • Experience with one programming language
  • High level understanding of HTTP REST APIs
  • We will use Postman, a popular HTTP client for the demos, You can use other clients
Description

This course is a one-stop shop to gain a solid understanding of Azure Cognitive Services.

  • Know all services under Azure Cognitive Services. You will list them all.

  • Decide if any of these APIs can help with your business scenario. If not, know where to look next.

  • Understand what each of these APIs do.  Microsoft documentation is referenced for further research.

  • Gain hands-on experience following the demos.

Taking this course will help with the Microsoft Exam AI-100: Designing and Implementing an Azure AI Solution.

Who this course is for:
  • Software Developers
  • Software Architects
  • Project managers
  • IT Managers
  • Chief Technology Officers (CTOs)
  • Machine Learning Experts
Course content
Expand all 54 lectures 04:27:08
+ Overview
1 lecture 06:39

Before jumping into individual Cognitive Services APIs, I would like to give a high level overview of this course. After watching this clip, you will understand the difference between low-level Machine Learning (ML) and Azure Cognitive Services approaches to develop your smart application. You will clearly find out the beauty of using Azure Cognitive Services .

Preview 06:39

In this quiz, we will go over the key concepts covered in this module.

Module Quiz
6 questions
+ Azure Cognitive Services: Vision
13 lectures 01:13:55

After watching this clip, you will have a good understanding of the topics we will cover in this section.

Preview 01:13

In this demo, we will create a new Azure Cognitive Services resource in the Azure Portal. This resource will be used in most demos in the rest of this course.

Preview 03:52

In this lecture, we will talk about the Computer Vision API capabilities and APIs.

Vision: Computer Vision Service
05:47

In this lecture, we will work with the Computer Vision API in action. Various APIs will be tested in Postman.


The attached Postman collection includes requests for ALL demos in this section.

Demo: Computer Vision Service
10:57

In this lecture, we will learn about the Face API and its capabilities.

Vision: Face Service
03:46

In this demo, we will see the Face API in action. Postman is used to call these REST APIs.

Demo: Face Service
07:23

In this clip, we will learn when to use the Custom Vision API.

Vision: Custom Vision Service
04:13

In this demo, we will use the Custom Vision portal to create a custom image classifier.

Demo: Custom Vision Service
12:33

In this lecture, we will learn all about three Vision services:

  1. Video Indexer

  2. Form Recognizer

  3. Ink Recognizer


Vision: Video Indexer, Ink Recognizer and Form Recognizer Services
04:45

In this demo, we will see the Video Indexer service in action.

Demo: Video Indexer Service
06:34

In this lecture, we will work with the Form Recognizer service.

Demo: Form Recognizer Service
04:15

In this lecture, we will learn about the Ink Recognizer service. This service allows you to capture and process digital ink input (Stylus, touch and mouse strokes)

Demo: Demo: Ink Recognizer Service
07:40

Congratulations! Now you have a solid understanding of Azure Cognitive Services Vision APIs. Keep up the great work.


If you like the course, please support it by reviewing and rating it. This makes a bug difference and will encourage me to create more quality content for this platform.


Thanks again and keep on learning!

Reza

Congratulations
00:57

Please take this quiz for a better understanding of the topics covered in the Vision section.

Vision Quiz
6 questions
+ Azure Cognitive Services: Speech
9 lectures 31:20

In this introductory clip, we will go over the topics to discuss in this section.

Preview 01:32

In this clip we will learn all about the Speech to Text service.

Speech: Speech to Text Service
01:27

In this demo, we will use the speech-to-text service to transcript a voice file into text.


The attached Postman collection includes requests for ALL demos in this section.

Demo: Speech to Text Service
07:04

In this clip, we will go over the capabilities of the text-to-speech service.

Speech: Text to Speech Service
01:33

In this demo, we will use the text-to-speech service to create a human-sounding voice from text.

Demo: Text to Speech Service
08:44

In this clip, we will learn about the Speech Translation service capabilities.

Speech: Speech Translation Service
01:38

In this demo, we will use the Speech Translation service to translate my recorded voice.

Demo: Speech Translation Service
04:52

In this lecture, we will go over the Speaker Recognition API and its use cases.

Speech: Speaker Recognition Service
01:21

In this clip, we will see a high-level demo of the Speaker Recognition service. The Microsoft's live demo page is used.

Demo: Speaker Recognition Service
03:09

Please take this quiz for a better understanding of the topics covered in the Speech section.

Speech Quiz
5 questions
+ Azure Cognitive Services: Language
15 lectures 01:25:33

In this introductory clip, we will have an overview of the topics to cover in this section.

Preview 03:12

In this clip we will go over the capabilities of the Text Analytics service.

Language: Text Analytics Service
02:36

In this demo, we will use the Text Analytics service to extract meaning from some text.


The attached Postman collection includes requests for ALL demos in this section.

Demo: Text Analytics Servcie
11:17

In this clip, we will go over the Translator Text service and its use cases.

Language: Translator Text Service
01:54

In this clip, we will see the Translator Text API in action.

Demo: Translator Text Service
06:01

In this demo, we will create a Custom Translator by training a custom model.

Demo: Custom Translator Text (Create and Train)
10:02

In this demo, we will use the Custom Translator which we created in the previous clip.

Demo: Custom Translator Text (Deploy and Use)
04:44

In this clip, we will go over the QnA Maker service.

Language: QnA Maker Service
01:59

In this clip, we will create a QnA Maker knowledge base.

Demo: QnA Maker Service
09:20

In this clip, we will learn about the Language Understanding (LUIS) service.

Language: Language Understanding (LUIS) Service
02:18

In this lecture, we will create a LUIS model for a pizza delivery shop.

Demo: LUIS (Create and Train)
10:16

In this clip, we will use the LUIS model we created in the previous demo.

Demo: LUIS (Deploy and Use)
03:34

In this clip, we will go over the Immersive Reader service.

Language: Immersive Reader Service
02:52

In this demo, we will create an Immersive Reader instance and configure the permissions using Azure Active Directory.

Demo: Immersive Reader (Configuring)
07:34

In this demo, we will improve our website accessibility using the Immersive Reader service we created in the previous module.

Demo: Immersive Reader (Using)
07:54

Please take this quiz for a better understanding of the topics covered in the Language section.

Language Quiz
4 questions
+ Azure Cognitive Services: Decision
8 lectures 41:13

In this clip, we will go over the topics we are covering in this section.

Preview 00:55

In this clip, we will go over the use cases of the Content Moderator service.

Decision: Content Moderator Service
03:12

In this demo, we will use the Content Moderator service to extract some PIIs from text and image.


The attached Postman collection includes requests for ALL demos in this section.

Demo: Content Moderator Service
08:27

In this clip, we will go over the Anomaly Detector service and will review a few use cases.

Decision: Anomaly Detector Service
04:51

In this demo, we will use the Anomaly Detector service to detect anomalies in both Stream and Batch modes.

Demo: Anomaly Detector Service
08:36

In this lecture, we will go over the Personalizer service and its use cases.

Decision: Personalizer Service
01:17

In this clip, we will create and configure a Personalizer instance in Azure.

Demo: Personalizer Service (Theory and Create)
07:24

In this demo, we will use the Personalizer instance in the previous demo in a C# application.

Demo: Personalizer Service (Use)
06:31

Please take this quiz for a better understanding of the topics covered in the Decision section.

Decision Quiz
3 questions
+ Azure Cognitive Services: Web Search
4 lectures 19:00

In this clip, we will go over the services to cover in this section.

Preview 01:39

In this clip, we will go over all the services under the Web Search gategory.

Search: All Web Search Services
05:06

In this demo, we will provision a new Bing Search resource in the Azure Portal.


The attached Postman collection includes requests for ALL demos in this section.

Demo: Web Search Services (Create)
02:47

In this demo, we will try the following services:

  1. Azure Bing Web Search

  2. Azure Bing Image Search

  3. Azure Bing Autosuggest

  4. Azure Bing Spell Check

Demo: Web, Image, AutoSuggest and Spell Check
09:28
Web Search Quiz
3 questions
+ Congratulations!
4 lectures 09:28

Congratulations! You did it! Know you have a solid understanding of Azure Cognitive Services and its use cases.

Preview 02:15

Azure Cognitive Services can be used in many AL cases. If your case can't be addressed with Azure Cognitive Services, check out Azure Machine Learning.

Preview 02:05

Lets talk about exam AI-100. A great way to validate your Azure AI knowledge.

Microsoft Exam AI-100
03:48

Thanks for trusting me to be your instructor for this course. I hope I've delivered on my promises.  I tried to make this course as useful and easy to follow as possible.

If you liked the course, please comment and rate it. This is important for me and will entourage me to create even more useful content.

Please reach out to my LinkedIn and Twitter with your success stories.


Thank you!

Reza Salehi

Thank You
01:20