Azure AI Engineer Associate (AI-102) Cert Prep: Implement Natural Language Processing Solutions

Course details

With the rapid advancement of AI technologies, the demand for experienced and qualified AI engineers has never been higher. This course is one of a series of courses designed to help you prepare to tackle the Designing and Implementing a Microsoft Azure AI Solution (AI-102) certification exam. Explore the core topics covered in the Implement Natural Language Processing Solutions domain, including how to implement natural language processing within your applications to analyze text, detect sentiment, translate text to and from different languages, process and translate speech with Azure AI speech services, create Q&A solutions, and build natural language engagements, solutions for human-computer interaction with language understanding models, and much more.

Concepts

0. Introduction

01 - Introducing Azure AI Natural Language Processing
02 - Lab setup

1. Analyze Text

03 - Introducing text analysis
04 - Extract key phrases from text
05 - Extract entities from text
06 - Perform sentiment analysis
07 - Detect language in text
08 - Detecting personally identifiable information (PII) in text

2. Process Speech

09 - Introducing speech processing
10 - Convert text to speech
11 - Convert speech to text
12 - Implement Speech Synthesis Markup Language (SSML)

3. Perform Language Translation

13 - Introducing language translation
14 - Introducing translation options
15 - Translate text with the Azure AI Translator service
16 - Perform custom translation
17 - Speech to speech translation with Azure AI Speech
18 - Speech to text translation with the Azure AI Speech service
19 - Perform multi-language translation

4. Implement Language Understanding

20 - Introducing the language understanding model
21 - Create and manage intents and utterances
22 - Create entities
23 - Train, deploy, and test
24 - Consume the model from a client application
25 - Backup and recover your models

5. Create Q&A Solutions

26 - Introducing question and answering (Q&A) solutions
27 - Create your first project
28 - Add question-answer pairs manually
29 - Import sources
30 - Train and test a knowledge base
31 - Publish and export your knowledge base
32 - Create multi-turn conversations
33 - Manage alternate phrasing
34 - Add chit-chat to a knowledge base
35 - Create Q&A solutions for multi-language requirements

Conclusion

36 - Next steps