JITA Learning · Microsoft · Field Guide
AI-200 · Developing AI Cloud Solutions on Azure
Build working judgment for Azure cloud application development for AI-enabled workloads.
What you should expect
Build working judgment for Azure cloud application development for AI-enabled workloads.
This Field Guide develops a working mental model of Azure cloud application development for AI-enabled workloads. You will connect choose among App Service, Functions, Container Apps, AKS, and container registry deployment patterns, connect application code to Azure data services, caching, messaging, and APIs, reason about identity, secrets, configuration, networking, and service dependencies, and design deployment and runtime behavior for resilient cloud applications. You are not just memorizing feature names; you are learning what owns the requirement, what can fail, and how to verify the outcome.
What you will learn
- choose among App Service, Functions, Container Apps, AKS, and container registry deployment patterns
- connect application code to Azure data services, caching, messaging, and APIs
- reason about identity, secrets, configuration, networking, and service dependencies
- design deployment and runtime behavior for resilient cloud applications
- recognize why one technically plausible alternative loses under the stated requirement
- apply Changed Fact reasoning and verify the design or implementation through operational evidence
Decision skills you will practice
- identify the governing requirement
- compare the nearest plausible alternative
- apply Changed Fact reasoning
- trace prerequisites, dependencies, and failure paths
- verify configured state, effective state, runtime outcome, and negative-path evidence
Who this is for
developers building cloud-native Azure applications that combine compute, data, integration, containers, serverless services, and AI-enabled functionality
Use this when you need to learn the architecture, mechanics, dependencies, tradeoffs, failure paths, and verification logic behind the certification.
Decisions you will learn to distinguish
- serverless vs containerized application hosting
- application failure vs data or network dependency failure
- deployment success vs healthy runtime behavior
Why JITA is different
Microsoft explains the platform. JITA teaches the decision.
Microsoft Learn explains the services, features, and documented behavior that support Azure cloud application development for AI-enabled workloads. JITA connects those capabilities into decisions: what owns the requirement, what the nearest alternative is, what changes when one fact changes, and what evidence proves the implementation worked.
How to choose:
Use the Field Guide to build understanding. Use the Exam Preparation Guide to test whether that understanding survives exam-style decisions.