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Operationalize machine learning and generative AI solutions
Duration
4 Days
Course
MOC-AI-300T00-A
Available Formats
Classroom Training, Online Training
Course Description
Overview
This course prepares learners to design, implement, and operate Machine Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions on Azure. It covers building secure and scalable AI infrastructure, managing the full lifecycle of traditional machine learning models with Azure Machine Learning, and deploying, evaluating, monitoring, and optimizing generative AI applications and agents using Microsoft Foundry. Learners will gain hands-on knowledge of automation, continuous integration and delivery, infrastructure as code, and observability by using tools such as GitHub Actions, Azure CLI, and Bicep. The course emphasizes collaboration with data science and DevOps teams to deliver reliable, production-ready AI systems aligned with modern MLOps and GenAIOps best practices.Objectives
Skills earned upon completion
- Implement end-to-end machine learning operations (MLOps) with Azure Machine Learning.
Audience
This course is intended for data scientists, machine learning engineers, and DevOps professionals who want to design and operate production-grade AI solutions on Azure. It is suited for learners with experience in Python, a foundational understanding of machine learning concepts, and basic familiarity with DevOps practices such as source control, CI/CD, and command-line tools, who are preparing to implement MLOps and GenAIOps workflows using Azure-native services.
Prerequisites
- Programming experience with Python or R
- Experience developing and training machine learning models
- Familiarity with basic Azure Machine Learning concepts
- Before starting GenAIOps learning path, you should be familiar with fundamental generative AI concepts and services in Azure. Consider completing the Microsoft Azure AI Fundamentals: Generative AI learning path first.
Topics
- Operationalize machine learning models (MLOps)
- Operationalize generative AI applications (GenAIOps)
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title
Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.