Prepare for AI-200 while building Azure skills across containers, vector data, messaging, serverless apps, security, and observability. Apply exam-focused guidance to design, deploy, secure, and troubleshoot cloud solutions.
Key Features
- Broad AI-200 coverage spanning containers, data services, messaging, security, and monitoring
- Scenario-based guidance connecting exam objectives with practical Azure architecture decisions
- Focused exam tips and chapter reviews for checking knowledge across each major service domain
Book Description
Modern AI applications rely on far more than a model endpoint. They need secure deployment, resilient data layers, event-driven integration, careful configuration, and clear operational insight. This guide frames those demands through the Microsoft Azure services measured by AI-200, helping readers connect exam objectives with the decisions cloud developers face when building production-ready solutions. The journey starts with container images, ACR tasks, App Service, Container Apps, KEDA, and AKS, then moves into Cosmos DB, PostgreSQL, pgvector, Redis, and retrieval-augmented generation patterns. It continues through Service Bus, Event Grid, Azure Functions, Key Vault, App Configuration, OpenTelemetry, Azure Monitor, Application Insights, and KQL, with scenarios, reviews, and exam tips that clarify how the pieces work together. Readers finish with a practical view of how to choose services, secure identities and secrets, manage scale, design vector search, handle messages, deploy serverless APIs, and investigate logs and traces. By the end of this book, they can approach AI-200 questions with stronger judgment and apply the same reasoning to Azure development work.
What you will learn
- Manage container images with Azure Container Registry
- Deploy workloads across App Service, Container Apps, and AKS
- Design vector data solutions with Cosmos DB and PostgreSQL
- Build event-driven apps with Service Bus, Event Grid, and Functions
- Secure secrets with Key Vault and Azure App Configuration
- Monitor distributed apps with OpenTelemetry, Azure Monitor, and KQL
Who this book is for
Azure developers, cloud engineers, AI application developers, and certification candidates preparing for AI-200 will benefit most. The material suits readers with basic cloud and programming familiarity who want practical depth in containers, Python-based data access, vector search, messaging, serverless development, security, and observability.
