Hybrid Cloud Architecture

Descripción

Hybrid AI infrastructure requires more than basic cloud familiarity—it demands evaluating trade-offs, defending architecture decisions, and enforcing cross-environment governance. This course builds the skills to lead architecture reviews and design hybrid cloud solutions for enterprise AI workloads. You'll apply the Azure Well-Architected Framework to assess multicloud setups, compare hub-and-spoke and Virtual WAN topologies, and provision GPU resources via Terraform with spot-instance cost controls. You'll enforce service mesh security using Istio across AKS, EKS, and GKE, while implementing data sovereignty controls with Azure Policy and Microsoft Purview. By the end of this course, you'll be ready to lead Well-Architected Framework reviews, produce portability assessments, define GPU scaling strategies, and direct data sovereignty policies balancing compliance, latency, and cost. Designed for platform engineers operating hybrid AI infrastructure. You should understand cloud networking (VNets, peering, routing) and have hands-on experience with infrastructure automation tools.