AI Infrastructure: Deployment Types

This course provides a comprehensive guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud. Through a series of lessons and practical demonstrations, you’ll explore diverse deployment strategies, ranging from highly customizable environments using Google Compute Engine (GCE) to managed solutions like Google Kubernetes Engine (GKE). Specifically, you’ll learn how to create clusters and deploy GKE for inference

• Describe the process of creating a GPU-accelerated cluster
• Provision a GPU-accelerated cluster on Google Compute Engine
• Provision a GPU-accelerated cluster on Google Kubernetes Engine
• Deploy AI inference workloads on GKE

• Basic familiarity with cloud computing concepts
• Readiness to perform hands-on configuration tasks