Learning Microsoft Cognitive Services for Developers

Course details

The Microsoft Cognitive Services APIs allow developers to embed AI in their applications to enable those apps to see, speak, understand, and interpret the needs of users. In this course, get started with Microsoft Cognitive Services, and discover how to work with the Vision, Speech, and Language APIs. Learn how the Vision API can recognize the details of a submitted image, how to add the necessary code to target the speech-to-text functionality of the Speech API, how to write code specific to the Bing Spell Check API—which helps users type with greater accuracy—and more. Upon completing this course, you'll have the skills and knowledge you need to leverage intelligent algorithms that can add value to your apps.

Learning objectives
Exploring the possibilities of the Vision API
Submitting an image to the Vision API for processing
Asking the Vision API to recognize faces
Working with the Speech API
Writing speech-to-text code
Working with the Language API
Getting languages for translation
Language Understanding (LUIS) concepts

Concepts

0. Introduction

01 - Welcome
02 - What you should know
03 - Using the exercise files

1. The Vision API

04 - Introduction to the Vision API
05 - Register your API
06 - Basic project structure
07 - Add TypeScript support
08 - Add debugging support
09 - Read image from disk
10 - Submit an image to the Vision API
11 - Analyze images
12 - Recognize landmarks and celebrities
13 - Recognize faces

2. The Speech API

14 - Introduction to the Speech API
15 - Set up your project
16 - Provision the Speech API in Azure
17 - Write speech-to-text code
18 - Run speech to text
19 - Authenticate against the speech
20 - Write the text-to-speech code
21 - Run text to speech

3. The Language API

22 - Introduction to the Language API
23 - Register Bing Spell Check in Azure
24 - Set up the project for the Bing Spell Check API
25 - Write code to target the Bing Spell Check API
26 - Demo - Spell Check API
27 - Register the Translator Text API in Azure portal
28 - Get languages for translation
29 - Demo - Translate English to German
30 - LUIS concepts
31 - Create a LUIS app
32 - Train, publish, and test the LUIS app
33 - Set up your LUIS project
34 - Call LUIS app from code

Conclusion

35 - Next steps