Microsoft Cognitive Services for Developers: 3 Language
Offered By: LinkedIn Learning
Course Description
Overview
Get started with Microsoft Cognitive Services for language. Discover how to work with the Bing Spell Check API, the Text Analytics API, Language Understanding (LUIS), and more.
Syllabus
Introduction
- Welcome
- What you should know
- Using the exercise files
- Introduction
- Set up a Node.js project
- Add TypeScript debugging support
- Add helper code and debugging
- Set up your Node.js project
- Register Text Analytics API in Azure
- Detect language using text analytics
- Detect key phrases
- Detect sentiment
- Register in Azure and set up the Node.js project
- Bing spell check using GET requests
- Bing spell check using POST requests
- Set up the project
- Set up the Translator Text API in Azure and update the project
- Write code for getting supported languages
- Get supported languages running and refactor the code
- Get supported languages using an access token
- Get supported languages using access token
- Get language names
- Write code for translating between languages
- Translations between multiple languages
- Breaking apart longer sentences
- Translate lots of content using TranslateArray
- Get languages for Speak
- Performing text-to-speech
- LUIS basics
- Create a new LUIS app
- Add keys from Azure into LUIS applications
- Adding a prebuilt model, train, and publish the app
- Test the application in the LUIS portal
- Call the LUIS app from code
- Delete the LUIS app
- Set up the project with the correct keys and configuration
- Define the application domain
- Creating business objects
- Write code for parsing the model
- Create the structure of the main program
- Write code to create a LUIS app
- Write code to add intents into the application
- Write code to add entities in the application
- Write code to add utterances
- Run the application and get the model created and running
- AI in action with fuzzy commands
- Next steps
Taught by
Sahil Malik
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