JITA Learning · Microsoft · Field Guide
AI-901 · Microsoft Azure AI Fundamentals
Build working judgment for Azure AI fundamentals.
What you should expect
Build working judgment for Azure AI fundamentals.
This Field Guide develops a working mental model of Azure AI fundamentals. You will connect distinguish machine learning, generative AI, computer vision, language, speech, and information extraction workloads, recognize where Azure AI and Foundry capabilities fit common solution requirements, understand foundational model, prompt, agent, and application concepts, and apply responsible AI principles to business and technical scenarios. 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
- distinguish machine learning, generative AI, computer vision, language, speech, and information extraction workloads
- recognize where Azure AI and Foundry capabilities fit common solution requirements
- understand foundational model, prompt, agent, and application concepts
- apply responsible AI principles to business and technical scenarios
- 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
learners building foundational judgment about AI workloads, Azure AI services, generative AI, agents, and responsible AI
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
- machine learning workload vs generative AI workload
- vision vs language or speech requirement
- AI capability fit vs responsible-use constraint
Why JITA is different
Microsoft explains the platform. JITA teaches the decision.
Microsoft Learn explains the services, features, and documented behavior that support Azure AI fundamentals. 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.