Azure AI Service Architecture and Fundamentals
Description
Understanding Azure AI service ecosystem, architecture patterns, resource management, and service integration approaches
Learning Objectives
Learners will understand the overall Azure AI service ecosystem, resource provisioning, service tiers, regional availability, and architectural patterns for building scalable AI solutions. They will be able to design and implement comprehensive AI architectures using multiple Azure AI services.
Topics (6)
Learning about free tiers, standard tiers, consumption-based pricing, and cost management
Learning about global Azure regions, data sovereignty, GDPR compliance, and service availability
Learning about service orchestration, data flow, and integration patterns for complex AI solutions
Learning about throughput optimization, latency reduction, auto-scaling, and performance monitoring
Learning about Cognitive Services, Azure ML, Azure AI services, and their relationships
Learning about resource groups, subscriptions, access control, and resource lifecycle management