If you've searched for AI-102 training recently and found conflicting information, here's the clear answer: AI-102 (Designing and Implementing a Microsoft Azure AI Solution) has already been retired by Microsoft, replaced by AI-103. This isn't a simple rename — the exam content shifted meaningfully, and that matters for how India and GCC enterprises should think about their AI hiring and training bar right now.

Why this isn't just a rebrand

AI-102 was built around Azure's earlier AI services landscape. In the time since it launched, the pace of change in applied AI — particularly around generative AI and Azure AI Foundry-based development — moved fast enough that Microsoft rebuilt the exam around current tooling rather than incrementally updating the old one. AI-103 reflects what an Azure AI engineer actually builds with today, not what they built with when AI-102 was first published.

What this means for hiring managers in India and the GCC

If your job descriptions or vendor requirements still reference AI-102 by name, that's worth fixing now — you're screening against a retired credential. More importantly, a candidate who passed AI-102 some time ago was tested on an older service surface; that doesn't mean their skills are outdated, but it does mean AI-103 is now the accurate signal for current capability, and it's worth knowing which one you're actually looking for.

Who should sit AI-103

  • Developers and engineers building applied AI solutions on Azure — not data scientists building models from scratch, but engineers integrating AI services into real applications
  • Teams in India's growing AI/ML services sector needing a current, recognized credential to back client-facing engagements
  • GCC government and enterprise digital transformation teams standardizing on Microsoft's AI stack

The realistic path if you already hold AI-102

Your AI-102 credential doesn't disappear from your transcript — it's simply no longer the current version of this specialization. If you're actively working in Azure AI engineering, the honest recommendation is to sit AI-103 within a reasonable window, both because the underlying tooling has moved on regardless of the exam, and because AI-103 is what current job postings and RFPs increasingly reference by name.

For current AI-103 training schedules and pricing specific to your region, see our live course catalogue — sessions are delivered by MCT-certified trainers already working with the current Azure AI Foundry tooling this exam is built around.