JITA Learning · Microsoft · Field Guide
AB-410 · Building Intelligent Applications
Build working judgment for intelligent application architecture.
What you should expect
Build working judgment for intelligent application architecture.
This Field Guide develops a working mental model of intelligent application architecture. You will connect choose where models, APIs, tools, data, and application logic should own behavior, design grounding, retrieval, context, and integration paths for intelligent applications, reason about authentication, authorization, data exposure, and trust boundaries, and evaluate latency, cost, reliability, and failure behavior when AI becomes part of an application path. 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 where models, APIs, tools, data, and application logic should own behavior
- design grounding, retrieval, context, and integration paths for intelligent applications
- reason about authentication, authorization, data exposure, and trust boundaries
- evaluate latency, cost, reliability, and failure behavior when AI becomes part of an application path
- 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
application architects and developers who need to combine AI capabilities with secure, observable, production-ready applications
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
- model capability vs application orchestration responsibility
- retrieval or grounding issue vs prompt or model issue
- successful API call vs verified business or user outcome
Why JITA is different
Microsoft explains the platform. JITA teaches the decision.
Microsoft Learn explains the services, features, and documented behavior that support intelligent application architecture. 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.