Pearson – Exam AI-900 Microsoft Azure AI Fundamentals

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Introduction

001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction

Lesson 1 Identify Features of Common AI Workloads

001. Learning objectives

002. 1.1 Identify features of anomaly detection workloads

003. 1.2 Identify computer vision workloads

004. 1.3 Identify natural language processing workloads

005. 1.4 Identify knowledge mining workloads

Lesson 2 Identify Guiding Principles for Responsible AI

001. Learning objectives

002. 2.1 Describe considerations for fairness in an AI solution

003. 2.2 Describe considerations for reliability and safety in an AI solution

004. 2.3 Describe considerations for privacy and security in an AI solution

005. 2.4 Describe considerations for inclusiveness in an AI solution

006. 2.5 Describe considerations for transparency in an AI solution

007. 2.6 Describe considerations for accountability in an AI solution

Lesson 3 Identify Common Machine Learning Types

001. Learning objectives

002. 3.1 Identify regression machine learning scenarios

003. 3.2 Identify classification machine learning scenarios

004. 3.3 Identify clustering machine learning scenarios

Lesson 4 Describe Core Machine Learning Concepts

001. Learning objectives

002. 4.1 Identify features and labels in a dataset for machine learning

003. 4.2 Describe how training and validation datasets are used in machine learning

Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio

001. Learning objectives

002. 5.1 Automated machine learning

003. 5.2 Azure Machine Learning designer

Lesson 6 Identify Common Types of Computer Vision Solution

001. Learning objectives

002. 6.1 Identify features of image classification solutions

003. 6.2 Identify features of object detection solutions

004. 6.3 Identify features of optical character recognition solutions

005. 6.4 Identify features of facial detection and facial analysis solutions

Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks

001. Learning objectives

002. 7.1 Identify capabilities of the Computer Vision service

003. 7.2 Identify capabilities of the Custom Vision service

004. 7.3 Identify capabilities of the Face service

005. 7.4 Identify capabilities of the Form Recognizer service

Lesson 8 Identify Features of Common NLP Workload Scenarios

001. Learning objectives

002. 8.1 Identify features and uses for key phrase extraction

003. 8.2 Identify features and uses for entity recognition

004. 8.3 Identify features and uses for sentiment analysis

005. 8.4 Identify features and uses for language modeling

006. 8.5 Identify features and uses for speech recognition and synthesis

007. 8.6 Identify features and uses for translation

Lesson 9 Identify Azure Tools and Services for NLP Workloads

001. Learning objectives

002. 9.1 Identify capabilities of the Language service

003. 9.2 Identify capabilities of the Speech service

004. 9.3 Identify capabilities of the Translator service

Lesson 10 Identify Considerations for Conversational AI Solutions on Azure

001. Learning objectives

002. 10.1 Identify features and uses for bots

003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service

Summary

001. Exam AI-900 Microsoft Azure AI Fundamentals Summary

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