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JITA Learning · Certification

AI-103 · Developing AI Apps and Agents on Azure

Learn what each publication is designed to do, how the two guides work together, and choose the guide that matches your next step.

AI-103 study guide and exam preparation resources

Preparing for Developing AI Apps and Agents on Azure (AI-103)? JITA Learning provides a complementary Field Guide and Exam Preparation Guide designed to build practical understanding first, then test decision-making through certification-focused scenarios and changed-fact reasoning.

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Microsoft · Artificial Intelligence

AI-103 · Developing AI Apps and Agents on Azure

Professional·Field Guide + Exam Preparation Guide
Choose your learning path

Each publication has a different job. Start with the guide that matches what you need now, or use them in sequence for the most complete JITA learning experience.

Field Guide

Build working judgment for Azure AI application and agent development.

This Field Guide develops a working mental model of Azure AI application and agent development. You will connect choose the appropriate Foundry services, models, retrieval, grounding, memory, tools, and multimodal capabilities, design RAG and agent patterns that match workload, data, and interaction requirements, reason about prompt, model, retrieval, tool, and orchestration failure boundaries, and apply responsible AI, content-safety, identity, and access controls. You are not just memorizing feature names; you are learning what owns the requirement, what can fail, and how to verify the outcome.

You’ll learn to distinguish:
  • model problem vs retrieval or grounding problem
  • RAG workflow vs agent/tool orchestration
  • successful generation vs evaluated and operationally safe response
Exam Preparation Guide

Prove your AI-103 judgment across Azure AI application and agent development under exam-style conditions.

This Exam Preparation Guide tests whether your understanding of Azure AI application and agent development survives realistic decision pressure. You will practice separating model problem vs retrieval or grounding problem, RAG workflow vs agent/tool orchestration, and successful generation vs evaluated and operationally safe response. Each scenario is designed to make you identify the governing fact, reject the nearest plausible alternative, and explain the evidence that keeps the correct answer correct.

You’ll learn to distinguish:
  • model problem vs retrieval or grounding problem
  • RAG workflow vs agent/tool orchestration
  • successful generation vs evaluated and operationally safe response
How the guides complement each other

Understand it first. Then prove you can apply it.

The Field Guide builds the understanding. Use it when you need the architecture, mechanics, dependencies, tradeoffs, failure paths, and verification logic behind the certification.

The Exam Preparation Guide tests the judgment. Use it when you need to practice under exam-style conditions, distinguish close answers, and understand why the correct answer survives changed facts.

Recommended sequence: Field Guide → Exam Preparation Guide → return to the Field Guide for targeted remediation where needed.