Azure•Foundational•AI-900

Microsoft Certified: Azure AI Fundamentals

Demonstrate fundamental AI concepts related to the development of software and services of Microsoft Azure to create AI solutions. Understand machine learning, computer vision, natural language processing, and generative AI workloads.

Note: This syllabus summary was last updated in November 2025. For the most current and detailed syllabus information, please visit the official certification provider's website.

Exam Summary

TIME

Minutes

TOTAL

Questions

PRICE

$99

USD

VALID

999

Years

PASS

700

/1000

Exam Domains & Topics

Domain 1

20%

Describe Artificial Intelligence Workloads and Considerations

Identify features of common AI workloads

Identify guiding principles for responsible AI

Understand machine learning concepts

Understand AI solution development lifecycle

Identify fairness, reliability, and safety considerations

Understand privacy and security principles

Describe inclusiveness in AI systems

Domain 2

25%

Describe Fundamental Principles of Machine Learning on Azure

Identify common machine learning types

Describe core machine learning concepts

Identify core tasks in creating a machine learning solution

Describe capabilities of no-code machine learning with Azure Machine Learning

Understand regression and classification models

Identify features of deep learning techniques

Understand automated machine learning (AutoML)

Domain 3

20%

Describe Features of Computer Vision Workloads on Azure

Identify common types of computer vision solution

Identify Azure tools and services for computer vision tasks

Understand image classification and object detection

Identify capabilities of Azure Computer Vision service

Understand facial recognition and analysis

Describe optical character recognition (OCR)

Identify capabilities of Custom Vision

Domain 4

20%

Describe Features of Natural Language Processing (NLP) Workloads on Azure

Identify features of common NLP workload scenarios

Identify Azure tools and services for NLP workloads

Understand text analysis and sentiment analysis

Identify capabilities of Azure Language service

Understand speech recognition and synthesis

Describe translation services

Identify capabilities of conversational AI

Domain 5

15%

Describe Features of Generative AI Workloads on Azure

Identify features of generative AI solutions

Identify capabilities of Azure OpenAI Service

Understand natural language generation

Describe code generation capabilities

Identify capabilities of image generation

Understand responsible AI practices for generative AI

Describe prompt engineering techniques

Azure•Foundational•AI-900

Microsoft Certified: Azure AI Fundamentals

Note: This syllabus summary was last updated in November 2025. For the most current and detailed syllabus information, please visit the official certification provider's website.

Exam Summary

TIME

Minutes

TOTAL

Questions

PRICE

$99

USD

VALID

999

Years

PASS

700

/1000

Exam Domains & Topics

Domain 1

20%

Describe Artificial Intelligence Workloads and Considerations

Identify features of common AI workloads

Identify guiding principles for responsible AI

Understand machine learning concepts

Understand AI solution development lifecycle

Identify fairness, reliability, and safety considerations

Understand privacy and security principles

Describe inclusiveness in AI systems

Domain 2

25%

Describe Fundamental Principles of Machine Learning on Azure

Identify common machine learning types

Describe core machine learning concepts

Identify core tasks in creating a machine learning solution

Describe capabilities of no-code machine learning with Azure Machine Learning

Understand regression and classification models

Identify features of deep learning techniques

Understand automated machine learning (AutoML)

Domain 3

20%

Describe Features of Computer Vision Workloads on Azure

Identify common types of computer vision solution

Identify Azure tools and services for computer vision tasks

Understand image classification and object detection

Identify capabilities of Azure Computer Vision service

Understand facial recognition and analysis

Describe optical character recognition (OCR)

Identify capabilities of Custom Vision

Domain 4

20%

Describe Features of Natural Language Processing (NLP) Workloads on Azure

Identify features of common NLP workload scenarios

Identify Azure tools and services for NLP workloads

Understand text analysis and sentiment analysis

Identify capabilities of Azure Language service

Understand speech recognition and synthesis

Describe translation services

Identify capabilities of conversational AI

Domain 5

15%

Describe Features of Generative AI Workloads on Azure

Identify features of generative AI solutions

Identify capabilities of Azure OpenAI Service

Understand natural language generation

Describe code generation capabilities

Identify capabilities of image generation

Understand responsible AI practices for generative AI

Describe prompt engineering techniques

Microsoft Certified: Azure AI Fundamentals

Exam Summary

Exam Domains & Topics

Describe Artificial Intelligence Workloads and Considerations

Describe Fundamental Principles of Machine Learning on Azure

Describe Features of Computer Vision Workloads on Azure

Describe Features of Natural Language Processing (NLP) Workloads on Azure

Describe Features of Generative AI Workloads on Azure

Cloud Practice Test

Microsoft Certified: Azure AI Fundamentals

Exam Summary

Exam Domains & Topics

Describe Artificial Intelligence Workloads and Considerations

Describe Fundamental Principles of Machine Learning on Azure

Describe Features of Computer Vision Workloads on Azure

Describe Features of Natural Language Processing (NLP) Workloads on Azure

Describe Features of Generative AI Workloads on Azure