Design AI Workloads on Azure
Intermediate
Solution Architect
Azure
Learn to design AI workloads using SaaS, PaaS, and IaaS solutions while aligning AI strategy with business goals and applying governance best practices.
Learning objectives
After completing this module, you'll be able to:
- Select SaaS, PaaS, or IaaS AI solutions based on business needs and required levels of control.
- Build an AI adoption plan that prioritizes use cases, skills, and delivery timelines.
- Design IaaS-based AI architectures by using the best compute, storage, and networking choices.
- Design PaaS AI solutions for generative and nongenerative workloads by using secure, scalable services.
- Apply AI governance and responsible AI practices across security, cost, data, and operations.
- Secure AI workloads by identifying risks, protecting resources and data, and detecting threats.
- Manage AI workloads across the lifecycle including deployment, cost, data, and continuity.
Prerequisites
- Basic understanding of AI concepts and Azure services.
- Familiarity with cloud computing models (SaaS, PaaS, IaaS).
Get started with Azure
Choose the Azure account that's right for you. Pay as you go or try Azure free for up to 30 days. Sign up.