6 practice tests, 1,500 questions with detailed explanations for the AI-300 MLOps Engineer exam 2026
Sub Category
- IT Certifications
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Objectives
- Work through 1,500 exam-style AI-300 questions across 6 full-length practice tests of 250 questions each, with detailed explanations for every item
- Design and implement MLOps and GenAIOps infrastructure on Azure using Bicep, the Azure CLI, and GitHub Actions for repeatable, automated deployments
- Manage the machine learning model lifecycle with Azure Machine Learning and MLflow: training, registration, deployment, and monitoring in production
- Build and optimize generative AI systems with Microsoft Foundry, RAG, and fine-tuning, applying AI evaluation and observability for quality assurance
Pre Requisites
- A data-science background with hands-on experience training and evaluating machine learning models
- Working knowledge of Python and familiarity with Azure Machine Learning
- Entry-level DevOps skills, including basic CI/CD, source control, and the command line
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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