Module 3: Describe Features of Computer Vision Workloads on Azure (15–20%) – Overview of AI-900 Exam Preparation

Module 3: Describe Features of Computer Vision Workloads on Azure (15–20%)

This module talks about core computer vision concepts and computer vision solutions in Azure.

The module teaches you two lessons.

Lesson 1: Identify Common Types of Computer Vision Solutions
  • Identify features of image classification solutions
  • Identify features of object detection solutions
  • Identify features of optical character recognition solutions
  • Identify features of facial detection, facial recognition, and facial analysis solutions
Lesson 2: Identify Azure Tools and Services for Computer Vision Tasks
  • Identify capabilities of the Computer Vision service
  • Identify capabilities of the Custom Vision service
  • Identify capabilities of the Face service
  • Identify capabilities of the Form Recognizer service

Module 4: Describe Features of Natural Language Processing (NLP) Workloads on Azure (25–30%)

This module shows you how to build a natural language processing model on Azure and teaches you the basics of natural language processing.

The module teaches you three lessons.

Lesson 1: Identify Features of Common NLP Workload Scenarios
  • Identify features and uses for key phrase extraction
  • Identify features and uses for entity recognition
  • Identify features and uses for sentiment analysis
  • Identify features and uses for language modeling
  • Identify features and uses for speech recognition and synthesis
  • Identify features and uses for translation
Lesson 2: Identify Azure Tools and Services for NLP Workloads
  • Identify the capabilities of the language service
  • Identify the capabilities of the speech service
  • Identify the capabilities of the translator service certification
Lesson 3: Identify Considerations for Conversational AI Solutions on Azure
  • Identify features and uses for bots
  • Identify capabilities of the Azure Bot Service

Summary

In this chapter, we have learned about the core modules tested for the AI-900 exam and their weightage. We also learned about the exam overview, exam format, and how to register for the exam. In the next chapter, you will learn about the basics of AI and the main tasks that it is used for. We will also learn about the principles of responsible AI and how to use Microsoft Azure for the AI and AI services that Microsoft Azure offers.

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