Current
Intermediate
Manage AI-Ready Infrastructure on Azure
Microsoft Learn (AI & Azure AI) · Microsoft · Updated March 2026
Platform rating
4.7/5
AI Tutor Rating
8.7/10
Duration
5 hours 58 minutes
Classes
16
Learn to manage GPU clusters, AI workload scheduling, and infrastructure for training and deploying AI models at scale on Azure.
What you'll get
Manage GPU compute infrastructure on Azure
Schedule AI training workloads efficiently
Implement cost-effective AI infrastructure
Monitor and optimize AI compute resources
Fit
Best for
Software Engineers
DevOps/MLOps Engineers
Data Engineers
Platform Engineers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Azure fundamentals
Pricing
Free
Certification
Certificate
Growth Leverage: Completing this course opens career pathways into roles such as AI Infrastructure Engineer, Cloud Solutions Architect, or Machine Learning Engineer. It also prepares individuals for certifications like Azure AI Engineer Associate, enhancing job prospects in industries leveraging AI technologies.
Skills Value: The skills learned provide direct value in managing cost-effective AI infrastructure, solving scalability issues, and optimizing resource allocation, which are critical for businesses. Professionals with these competencies can command salaries upward of $120,000 due to high demand in tech-driven sectors focusing on AI deployment.
Azure
GPU Infrastructure
MLOps
Cloud AI
HPC