AI Center of Excellence

  • Learning Path
  • 3 Modules

At a glance

Learn about the AI Center of Excellence (AI CoE) and how it can help your organization adopt AI workloads. This learning path covers the key components of an AI CoE, including stakeholders, workload governance, AI workload operations best practices, and how you can leverage Azure landing zones for complex AI workloads.

Prerequisites

Familiarity basic Artificial Intelligence and operations concepts

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.

Modules in this learning path

Introduction to AI Center of Excellence

Overview of the purpose of an AI Center of Excellence. Includes how a center of excellence can assist with adopting AI, deployment, operations, and governance of AI applications. Also how an AI Center of Excellence can determine appropriate organizational roles to assist with AI workloads, function as a hub for learning resources and skilling, and provide a knowledge base for AI best practices.

Guide AI workload operations with an AI Center of Excellence

Learn how comprehensive operations guidance from an AI Center of Excellence can help an organization to effectively deploy, manage, and maintain AI workloads.

Introduction to AI Landing Zones

In this module, you learn how to use Azure landing zones with AI workloads

Start