Azure AI-103 Explained: The Exam Replacing AI-102 — Format, Skills, and How to Prepare (2026)


Microsoft's flagship Azure AI certification has changed hands. The long-running AI-102 exam — the path to the Azure AI Engineer Associate badge — retired on June 30, 2026, and its successor, AI-103, now leads to a new credential: Microsoft Certified: Azure AI Apps and Agents Developer Associate. The word "agents" in the title is not decoration; the exam has been rebuilt around generative AI and agent development. Here is what AI-103 covers, how it differs from AI-102, and how to prepare, based on Microsoft's official pages.

What Is AI-103?

AI-103 is an intermediate (Associate-level) exam for developers who build AI applications and AI agents on Azure. It replaces AI-102, but it is not a light revision. Where AI-102 surveyed Azure's many AI services broadly, AI-103 is redesigned around Microsoft's Foundry platform, generative AI, and agentic solutions — and Python is now the stated development language.

Exam Basics

  • Credential: Microsoft Certified: Azure AI Apps and Agents Developer Associate
  • Level: Intermediate (Associate)
  • Length: 120 minutes — 20 minutes longer than AI-102's 100
  • Format: Proctored; may include interactive components
  • Languages: Ten, including English, Japanese, Korean, German, French, and Spanish
  • Retakes: First retake allowed 24 hours after a failed attempt

Exam fees vary by country. Associate-level Microsoft exams have typically run around $165 in the US, but check the price shown on the official registration page for your region before booking.

What the Exam Covers — Agents Take Center Stage

According to the official study guide (updated August 11, 2026), the skills measured are:

  • Plan and manage an Azure AI solution
  • Implement generative AI and agentic solutions
  • Implement computer vision solutions, now including image generation
  • Implement text analysis solutions
  • Implement information extraction solutions

The headline change is weight. Agentic solutions made up roughly 5–10% of AI-102; in AI-103 they are reported at 30–35% — the largest single domain. Classical natural language processing has largely disappeared, and the old "knowledge mining" area has been reframed as retrieval-augmented generation (RAG) for grounding model outputs.

Already Hold AI-102? Here's What Happens

An Azure AI Engineer Associate certification earned before the retirement stays in the Active section of your transcript until it expires. But it can no longer be renewed. If you want a current credential after yours lapses, the path forward is taking AI-103 fresh. There is no bridge exam, so note your expiration date and plan accordingly.

Who Should Take It

  • Developers building chatbots, RAG applications, or agents on Azure
  • AI-102 holders whose certification is approaching expiration
  • Python developers who want a recognized credential for generative AI work

If you rarely write code, an entry-level AI certification is a more natural starting point than this one.

How to Prepare

Start with the official study guide to confirm the current outline, then work through the free Microsoft Learn paths mapped to the exam. Because agents dominate the blueprint, hands-on practice matters: build a small agent end to end rather than only reading. A free Azure trial account is enough for most of the exercises, and time spent wiring up a working RAG pipeline will pay off across several domains at once. Expect scenario-style and interactive questions rather than pure recall, so practice deciding which service fits a requirement, not just what each service does.

FAQ

Can I still use AI-102 study materials?

Partially. Fundamentals carry over, but the agent and RAG domains are new territory — use AI-103-specific materials for those.

Is there a prerequisite exam?

No formal prerequisite. Microsoft assumes Python development experience and familiarity with Azure AI services.

Does my expired AI-102 count for anything?

It remains on your transcript as a past certification, but only AI-103 leads to the current Associate credential.

Related on AI Learning Lab: Microsoft Overhauled Its AI Certifications · AWS, Microsoft, or Google Cloud? Comparing the Big Three's Entry AI Certifications · How to Study for Certification Exams with AI


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