Machine Learning Operations Engineer Associate
The AI-300: Microsoft Machine Learning Operations Engineer Associate certification is an associate-level credential that validates your ability to design and implement MLOps and GenAIOps infrastructure on Azure, including model lifecycle management, quality assurance, and performance optimization, and requires annual renewal to maintain active status
Details
The AI-300: Microsoft Machine Learning Operations Engineer Associate certification is an associate-level credential designed to validate your skills in setting up infrastructure for machine learning operations (MLOps) and generative AI operations (GenAIOps) solutions on Azure, together referred to as AI operations (AIOps). This exam is ideal for data scientists and AI engineers who want to demonstrate their ability to train, optimize, deploy, and maintain machine learning models and generative AI applications on Azure. The certification covers five core areas: .
The AI-300 certification expires after one year and must be renewed. You can renew for free by passing an online renewal assessment during the six-month window before your certification expires. If your certification lapses, you must retake and pass the full AI-300 exam to regain it.
The AI-300 serves as a specialized credential for AI professionals working on the operational side of machine learning and generative AI, complementing certifications like Azure AI Engineer Associate or Azure Data Scientist Associate.
Learning Path
Study Plan
The Microsoft Certification Exam
The Machine Learning Operations Engineer Associate (AI-300) exam consists of approximately 50 questions (the exact number varies slightly from one test to another) and you have 120 minutes to complete it. You must achieve a passing score of 700 out of 1000 points to pass.
The exam mixes several question formats to assess your knowledge. You can expect the classic single-answer multiple-choice items, multiple-select questions where two or more options are correct, and drag-and-drop questions. There are also occasional yes/no questions.
You will also get case-study or scenario-based questions that present business problems requiring you to choose the best solution. And you can expect hands-on lab questions where you must perform specific tasks in a live Azure environment.