Program profile · official sources
Exam AI-300: Operationalizing Machine Learning and Generative AI Solutions
Microsoft Exam AI-300: Operationalizing Machine Learning and Generative AI Solutions assesses MLOps and GenAIOps work on Azure. It covers MLOps infrastructure, the machine-learning model lifecycle, GenAIOps infrastructure, generative-AI observability and performance optimization. Expected background includes data science, Python, entry-level DevOps, GitHub Actions, command-line interfaces, Azure Machine Learning, Microsoft Foundry and infrastructure as code using Bicep or Azure CLI. A score of 700 or greater is required to pass. It earns Microsoft Certified: Machine Learning Operations Engineer Associate; the proctored English exam lasts 120 minutes, priced by proctoring region. Microsoft states that its associate, expert and specialty certifications expire annually and can be renewed by passing a free online Microsoft Learn assessment.
Facts checked 5 Oct 2026
- Price
- See pricing
No accepted US price: the Microsoft exam page, as shown in the United States on 5 October 2026, says "Price based on the country or region in which the exam is proctored." and no amount appears on the captured page. Preparation and repeat attempts are separate.
- Provider link
See price and enroll at Microsoft Learn (official site) ↗
Official site. No commission.
- Time
- 120 minutes to complete the exam assessment; not preparation time
- Level
- Intermediate
- Credential
- industry certification
Microsoft states that its associate, expert and specialty certifications expire annually and can be renewed by passing a free online assessment on Microsoft Learn; its renewal FAQ adds that the renewal option applies to certifications available for more than six months and that the renewal window opens six months before expiry.
- Format
- Proctored certification exam
- Prerequisites
- Expected background includes data science, Python, entry-level DevOps, GitHub Actions, CLIs, Azure Machine Learning, Microsoft Foundry and infrastructure as code with Bicep or Azure CLI.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
- Duration · https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-300/
- Official program page · https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-300
- Credential details · https://learn.microsoft.com/en-us/credentials/certifications/renew-your-microsoft-certification-faq
- Credential details · https://learn.microsoft.com/en-us/credentials/support/view-use-share-certificates-achievements
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Design and implement MLOps infrastructure
- Machine-learning model lifecycle and operations
- Design and implement GenAIOps infrastructure
- Generative-AI quality assurance and observability
- Optimize generative-AI systems and model performance
Prerequisites: Expected background includes data science, Python, entry-level DevOps, GitHub Actions, CLIs, Azure Machine Learning, Microsoft Foundry and infrastructure as code with Bicep or Azure CLI.
What topics are covered on the Exam AI-300?
The Exam AI-300 covers five main domains focused on operationalizing machine learning and generative artificial intelligence on Azure. The largest section is managing the machine learning model lifecycle and operations, comprising 25 to 30 percent of the exam. Building GenAIOps infrastructure accounts for 20 to 25 percent, while designing and implementing MLOps infrastructure makes up 15 to 20 percent. The remaining sections test generative AI quality assurance and observability, at 10 to 15 percent, and optimizing generative AI systems and model performance, also at 10 to 15 percent.
What background knowledge is expected before taking the AI-300 exam?
Candidates taking the Exam AI-300 should have prior experience in data science, Python programming, and entry-level DevOps. Microsoft expects practitioners to be familiar with setting up MLOps and GenAIOps on Azure, which includes training, optimizing, deploying, and maintaining traditional machine learning models. Candidates must also have experience deploying, evaluating, monitoring, and optimizing generative AI applications and agents using Microsoft Foundry. Technical proficiency with GitHub Actions, command-line interfaces, Azure Machine Learning, and infrastructure as code utilizing Bicep or the Azure CLI is also expected.
How much does the AI-300 exam cost and what is the required passing score?
To pass Exam AI-300, candidates must achieve a score of 700 or greater, according to the Microsoft study guide. The Microsoft exam page, as shown in the United States on 5 October 2026, names the credential earned as Microsoft Certified: Machine Learning Operations Engineer Associate and lists a 120-minute proctored exam in English, scheduled through Pearson VUE. That page shows no fee amount; it says the price is based on the country or region in which the exam is proctored, so no US exam price is recorded here. The study guide adds that Microsoft associate, expert and specialty certifications expire annually and can be renewed by passing a free online assessment.
What you actually do
- Design and implement MLOps infrastructure · Exam domain; 15–20%. · Source
- Machine-learning model lifecycle and operations · Exam domain; 25–30%. · Source
- Design and implement GenAIOps infrastructure · Exam domain; 20–25%. · Source
- Generative-AI quality assurance and observability · Exam domain; 10–15%. · Source
- Optimize generative-AI systems and model performance · Exam domain; 10–15%. · Source
What the credential is
- Credential type
- industry certification · learn.microsoft.com / ai-300
- Credential
- Microsoft Certified: Machine Learning Operations Engineer Associate · learn.microsoft.com / ai-300
- Issuer
- Microsoft · learn.microsoft.com / ai-300 learn.microsoft.com / ai-300 learn.microsoft.com / renew-your-microsoft-certification-faq learn.microsoft.com / view-use-share-certificates-achievements
- Sharing
- Share through your Microsoft Learn profile, including on LinkedIn, in social media posts or as a link in an email signature; digital certificates can be downloaded and printed. Microsoft says the Learn profile must be in public view for shared credentials to be verified (Microsoft Learn credential support page, as shown in the United States on 5 October 2026). · learn.microsoft.com / view-use-share-certificates-achievements
- Expiry and renewal
- Microsoft states that its associate, expert and specialty certifications expire annually and can be renewed by passing a free online assessment on Microsoft Learn; its renewal FAQ adds that the renewal option applies to certifications available for more than six months and that the renewal window opens six months before expiry. · learn.microsoft.com / ai-300 learn.microsoft.com / renew-your-microsoft-certification-faq
- Exam requirement
- Pass Exam AI-300; a score of 700 or greater is required. The Microsoft exam page for AI-300 is the page of the Microsoft Certified: Machine Learning Operations Engineer Associate certification. · learn.microsoft.com / ai-300 learn.microsoft.com / ai-300
Who should skip it
- Skip it if you need a beginner introduction; the audience profile expects data-science, Python and entry-level DevOps experience. · Source
- Skip it if you need vendor-neutral operations coverage; the measured skills use Azure Machine Learning and Microsoft Foundry. · Source
- Confirm the fee for your country or region when you schedule; Microsoft prices this exam by where it is proctored and the captured page shows no amount. · Source
Alternatives in the registry
Programs from other providers, a comparison and a guide.
- AWS Certified Machine Learning - Specialty (Amazon Web Services)
- NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) (NVIDIA)
- Comparison: Microsoft AI-901 vs AWS AI Practitioner: Azure implementation or AWS foundations?
- Guide: Vendor AI Certifications Compared: AWS, Google Cloud, NVIDIA, and Microsoft
Change log
- : Initial recorded review of official exam, scope, price and credential facts. · Source