Forum Discussion
AI-102 Delivery Completed — Preparing for AI-103: How Is Microsoft AI Training Evolving?
Completed another AI-102 training delivery — and already diving into the roadmap toward AI-103.
Recent discussions with learners covered several important areas:
- Azure AI Services
- Azure OpenAI
- RAG patterns & enterprise architectures
- Responsible AI
- Real-world implementation considerations
One thing is becoming increasingly clear:
AI capabilities are evolving rapidly, and technical learning paths must evolve just as quickly.
For trainers, architects, developers, and organizations, maintaining technical depth while adapting to continuous platform evolution is becoming both a challenge and an opportunity.
I'm curious to hear perspectives from the community:
What differences or shifts do you expect between AI-102 and AI-103?
Which Microsoft AI topics are currently proving most relevant — or most challenging — in your projects?
1 Reply
AI-102 AI-103 Azure AI Engineer Associate Azure AI Apps and Agents focus Traditional Azure AI services Azure OpenAI, Foundry, RAG, Agents Vision / NLP / Bots / Search heavy GenAI, retrieval, grounding, orchestration heavy Less emphasis on app evaluation Stronger emphasis on evaluation and optimization
