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AI-900microsoft

Microsoft Azure AI Fundamentals

Microsoft Azure AI Fundamentals official-source-aligned practice bank.

Official study guide
Free — no charge
5 modules360 practice questions

Describe Artificial Intelligence workloads and considerations

Study the official objectives for Describe Artificial Intelligence workloads and considerations.

15-20%
Identify features of common AI workloadsIdentify guiding principles for responsible AI

Identify features of common AI workloads

Intermediate20 min

Review the official skills for Identify features of common AI workloads and practice applying them to scenarios.

Identify computer vision workloads:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify natural language processing workloads:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify document processing workloads:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features of generative AI workloads:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Identify guiding principles for responsible AI

Intermediate20 min

Review the official skills for Identify guiding principles for responsible AI and practice applying them to scenarios.

Describe considerations for fairness in an AI solution:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe considerations for reliability and safety in an AI solution:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe considerations for privacy and security in an AI solution:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe considerations for inclusiveness in an AI solution:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe considerations for transparency in an AI solution:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe considerations for accountability in an AI solution:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Describe fundamental principles of machine learning on Azure

Study the official objectives for Describe fundamental principles of machine learning on Azure.

15-20%
Identify common machine learning techniquesDescribe core machine learning conceptsDescribe Azure Machine Learning capabilities

Identify common machine learning techniques

Intermediate20 min

Review the official skills for Identify common machine learning techniques and practice applying them to scenarios.

Identify regression machine learning scenarios:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify classification machine learning scenarios:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify clustering machine learning scenarios:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features of deep learning techniques:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features of the Transformer architecture:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Describe core machine learning concepts

Intermediate20 min

Review the official skills for Describe core machine learning concepts and practice applying them to scenarios.

Identify features and labels in a dataset for machine learning:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe how training and validation datasets are used in machine learning:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Describe Azure Machine Learning capabilities

Intermediate20 min

Review the official skills for Describe Azure Machine Learning capabilities and practice applying them to scenarios.

Describe capabilities of automated machine learning:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe data and compute services for data science and machine learning:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe model management and deployment capabilities in Azure Machine Learning:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Describe features of computer vision workloads on Azure

Study the official objectives for Describe features of computer vision workloads on Azure.

15-20%
Identify common types of computer vision solutionIdentify Azure tools and services for computer vision tasks

Identify common types of computer vision solution

Intermediate20 min

Review the official skills for Identify common types of computer vision solution and practice applying them to scenarios.

Identify features of image classification solutions:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features of object detection solutions:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features of optical character recognition solutions:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features of facial detection and facial analysis solutions:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Identify Azure tools and services for computer vision tasks

Intermediate20 min

Review the official skills for Identify Azure tools and services for computer vision tasks and practice applying them to scenarios.

Describe capabilities of the Azure AI Vision service:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe capabilities of the Azure AI Face detection service:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Describe features of Natural Language Processing (NLP) workloads on Azure

Study the official objectives for Describe features of Natural Language Processing (NLP) workloads on Azure.

15-20%
Identify features of common NLP Workload ScenariosIdentify Azure tools and services for NLP workloads

Identify features of common NLP Workload Scenarios

Intermediate20 min

Review the official skills for Identify features of common NLP Workload Scenarios and practice applying them to scenarios.

Identify features and uses for key phrase extraction:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features and uses for entity recognition:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features and uses for sentiment analysis:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features and uses for language modeling:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features and uses for speech recognition and synthesis:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify features and uses for translation:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Identify Azure tools and services for NLP workloads

Intermediate20 min

Review the official skills for Identify Azure tools and services for NLP workloads and practice applying them to scenarios.

Describe capabilities of the Azure AI Language service:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe capabilities of the Azure AI Speech service:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Describe features of generative AI workloads on Azure

Study the official objectives for Describe features of generative AI workloads on Azure.

20-25%
Identify features of generative AI solutionsIdentify generative AI services and capabilities in Microsoft AzureIn this article

Identify features of generative AI solutions

Intermediate20 min

Review the official skills for Identify features of generative AI solutions and practice applying them to scenarios.

Identify features of generative AI models:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify common scenarios for generative AI:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Identify responsible AI considerations for generative AI:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Identify generative AI services and capabilities in Microsoft Azure

Intermediate20 min

Review the official skills for Identify generative AI services and capabilities in Microsoft Azure and practice applying them to scenarios.

Describe features and capabilities of Azure AI Foundry:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe features and capabilities of Azure OpenAI service:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Describe features and capabilities of Azure AI Foundry model catalog:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Last updated on 2025-05-05:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

In this article

Intermediate20 min

Review the official skills for In this article and practice applying them to scenarios.

Light:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Dark:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
High contrast:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
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https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Previous Versions:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Blog:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Contribute:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
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https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
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https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Terms of Use:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
Trademarks:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900
© Microsoft 2026:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900