Current
Intermediate
40% Off
Microsoft Azure: AI, Infrastructure, and Data Solutions
Coursera · LearnQuest · Updated March 2026
Platform rating
4.4/5
AI Tutor Rating
8.2/10
Duration
3-6 months
Classes
150
Learn Azure cloud infrastructure for AI including virtual networking, Databricks, data pipelines, and AI/ML deployment.
What you'll get
Use Azure AI services and Databricks
Build AI infrastructure on Azure cloud
Manage GPU clusters and distributed 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
Basic cloud knowledge
Pricing
Subscription
Certification
Certificate
Growth Leverage: Completing this course can lead to roles such as Azure Cloud Engineer, AI Solutions Architect, or Data Scientist specializing in Azure. It also prepares you for certifications like Microsoft Certified: Azure AI Engineer Associate, significantly enhancing your employability in the growing AI and cloud sectors.
Skills Value: The skills acquired enable individuals to design scalable AI infrastructures, manage GPU resources, and deploy ML models effectively, addressing common needs in data-driven organizations. Given the increasing demand for cloud and AI expertise, professionals can command salary premiums ranging from 10-20% over their peers.
Azure
Databricks
Spark
AI Infrastructure
Cloud