Operationalize Machine Learning and Generative AI Solutions

Course Number: AI-300

learners to design, implement, and operate MLOps and GenAIOps solutions on Azure.

• Vendor: Microsoft
• Category: AI Courses
• List Price
• Upcoming Classes

Description

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.

Who Should Attend?

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.

List Price

$2495.00

Upcoming Classes

Available classes for Operationalize Machine Learning and Generative AI Solutions

Start Date	End Date	Class Status	Days	Location	Start Time
01/18/2027	01/21/2027	Seats Available	Consecutive days	Live Online	6:00am	Enroll