AI-102 Exam Guide: Azure AI Engineer

Advanced overview: measured skills, exam format, resources, and a study plan to design and implement Azure AI solutions.

Measured skills 2–4 week study plan Go to AI-102 course

Who it’s for & prerequisites

Ideal profiles

  • Developers and AI/ML engineers integrating Azure AI.
  • Technical leads designing end-to-end solutions on Azure.
  • Teams progressing from AI-900/DP-900 to advanced implementations.

Prerequisites

  • Solid Azure fundamentals and Cognitive Services familiarity.
  • Experience with model pipelines and deployment.
  • Recommended baseline: AI-900.

Measured skills (overview)

Designing Azure AI solutions

Requirements, architecture, and integration patterns; security, cost, and reliability trade-offs.

Integrating AI services

Vision, Language (NLP), Speech, and Decision: orchestration across apps and workflows.

Operations & MLOps

Monitoring, evaluation, lifecycle; responsible AI considerations in production.

Helpful comparisons

Exam format & booking

Format

  • Multiple-choice and scenario-based questions.
  • Indicative duration: ~60–120 minutes (variable).
  • Languages: check the current availability on the official page.

Note: details and scoring may change—always confirm on the official page before booking.

Booking

  • Microsoft account; choose online or test center.
  • Valid ID and compliant environment (for online proctoring).

Prepare with the AI-102 course

Study plan (2–4 weeks)

2 weeks (intensive)

  • Days 1–3: Azure AI architecture & requirements.
  • Days 4–7: Service integration (Vision, NLP, Speech, Decision).
  • Days 8–10: Security, cost, reliability.
  • Days 11–14: Labs and mock tests.

4 weeks (standard)

  • Week 1: Solution design & integration patterns.
  • Week 2: Azure AI services & orchestration.
  • Week 3: MLOps, monitoring, responsible AI.
  • Week 4: Hands-on labs, simulations, final review.

Open the detailed plan Read the FAQs

Recommended resources

FAQs & Glossary

Clear definitions and quick answers to common questions.

FAQs · Glossary

Certification comparisons

Understand adjacent paths to plan your roadmap.

Open comparisons

Labs & simulators

Guided exercises and mock tests to validate your readiness.

Open simulator

Ready to level up?

Join the advanced course and bring AI to production on Azure.

Enroll in AI-102 Back to Azure AI hub

FAQ

Who should take AI-102?

Developers, AI/ML engineers, and technical leads implementing Azure AI solutions.

What prerequisites are recommended?

Solid Azure fundamentals, experience with Azure AI services, and preferably AI-900.

What’s the structure of the exam?

Multiple-choice and scenario questions; always confirm current details on the official page.

How should I plan my study?

Follow a 2–4 week plan with labs and mocks; consolidate solution design and MLOps.