What This Exam Validates
The Microsoft Azure AI Fundamentals certification exam covers artificial intelligence concepts, capabilities, and the implementation of AI solutions by using Microsoft Foundry. Certified by Microsoft, this examination tests your fundamental understanding of fairness, reliability, safety, privacy, security, and prompt engineering principles across modern cloud workloads, requiring a passing score of 700 on a scale ranging from 1 to 1000.
Who Should Take This Exam
This exam is suited for individuals at the beginning of their career in AI solution development. Candidates need conceptual knowledge of AI solutions in Azure, along with familiarity with Python coding syntax, programming techniques, and Azure resources.
Skills You Should Be Ready to Demonstrate
- Fairness considerations
- Reliability and safety
- Privacy and security
- Prompt creation
- Model deployment
- Chat client application
How to Prepare
Review the official study guide and practice assessments on AI Skills Navigator carefully. Gain extensive hands-on experience using the Foundry portal to deploy models, interact with prompts, and build lightweight chat client applications by utilizing the Foundry SDK successfully during your preparation process for the 700 score.
Domain Study Guidance
Identify AI concepts and capabilities: Study Guidance
This specific domain evaluates your detailed knowledge of artificial intelligence concepts and capabilities, focusing explicitly on design considerations for fairness, reliability, safety, privacy, and security in modern AI solutions.
- Describe considerations for fairness in an AI solution
- Describe considerations for reliability and safety in an AI solution
- Describe considerations for privacy and security in an AI solution
Implement AI solutions by using Microsoft Foundry: Study Guidance
This practical domain tests your core implementation skills for building AI solutions by using Microsoft Foundry, covering system and user prompts, model deployment procedures, and custom chat client applications.
- Create effective system and user prompts for generative AI models
- Deploy a model and interact with it in the Foundry portal
- Create a lightweight chat client application by using the Foundry SDK
Exam-Day Guidance
Check with Microsoft for scheduling details through Pearson Vue or Certiport. Register using a personal account rather than an organizational account to ensure your records are preserved properly on exam day.
Frequently asked questions
What is the passing score?
A passing score of 700 or greater is strictly required to pass the exam on a scale ranging from 1 to 1000 for all candidates.
How much does the exam cost?
The exam price is based on the specific country or region in which the examination is proctored according to official guidelines established by Microsoft for all registered candidates.
Who certifies this exam?
This certification exam is officially offered and administered by Microsoft for individuals starting out in their professional artificial intelligence development career path today across global markets.
Where can I take a practice assessment?
You can easily take a free practice assessment by navigating directly to the AI Skills Navigator certification page while signed into your Microsoft account to prepare properly.
Sources and Verification
Verified 2026-09-13
How this page was made
This comprehensive reference page was thoroughly constructed using verified official Microsoft exam documentation, study guides, and content hashes to ensure accuracy.
Exam Domains
1.0 Identify AI concepts and capabilities
42%
- 1.1Describe considerations for fairness in an AI solution
- 1.2Describe considerations for reliability and safety in an AI solution
- 1.3Describe considerations for privacy and security in an AI solution
- 1.4Describe considerations for inclusiveness in an AI solution
- 1.5Describe considerations for transparency in an AI solution
- 1.6Describe considerations for accountability in an AI solution
- 1.7Describe how generative AI models work
- 1.8Identify an appropriate AI model, based on capabilities
- 1.9Identify appropriate model deployment options and configuration parameters
- 1.10Identify scenarios for common AI workloads, including generative and agentic AI, text analysis, speech, computer vision, and information extraction
- 1.11Describe common text analysis techniques, including keyword extraction, entity detection, sentiment analysis, and summarization
- 1.12Identify features and capabilities of speech recognition and speech synthesis
- 1.13Identify features and capabilities of computer vision and image-generation models
- 1.14Identify techniques to extract information from text, images, audio, and videos
2.0 Implement AI solutions by using Microsoft Foundry
58%
- 2.1Create effective system and user prompts for generative AI models
- 2.2Deploy a model and interact with it in the Foundry portal
- 2.3Create a lightweight chat client application by using the Foundry SDK
- 2.4Create and test a single-agent solution in the Foundry portal
- 2.5Create a lightweight client application for an agent
- 2.6Build a lightweight application that includes text analysis
- 2.7Respond to spoken prompts by using a deployed multimodal model
- 2.8Build a lightweight application by using Azure Speech in Foundry Tools
- 2.9Interpret visual input in prompts by using a deployed multimodal model
- 2.10Create new visual outputs by using generative models
- 2.11Build a lightweight application that includes vision capabilities
- 2.12Extract information from documents and forms by using Azure Content Understanding in Foundry Tools
- 2.13Extract information from images by using Content Understanding
- 2.14Extract information from audio and video by using Content Understanding
- 2.15Build a lightweight application with information extraction capabilities by using Content Understanding
- 2.16Last updated on 07/13/2026
- 2.17Purpose of this document
- 2.18Updates to the exam
- 2.19Skills measured as of April 15, 2026
- 2.20Study resources
- 2.21High contrast
- 2.22AI Disclaimer
- 2.23Previous Versions
- 2.24Contribute
- 2.25Privacy
- 2.26Consumer Health Privacy
- 2.27Terms of Use
- 2.28Trademarks
- 2.29© Microsoft 2026