Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)

Cloud
Azure
AI
ML
Building and deploying AI apps and agents on Azure — Azure AI Foundry, generative AI, OpenAI, RAG pipelines, multi-agent orchestration, computer vision, speech, and document intelligence.
Published

June 23, 2026

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Skills covered

  • Planning and managing Azure AI solutions with Azure AI Foundry — model selection across LLMs, SLMs, and multimodal models; infrastructure design, CI/CD integration, quota management, and cost footprint control
  • Building generative AI applications — deploying and consuming models, implementing retrieval-augmented generation (RAG) with semantic, hybrid, and vector search, and evaluating outputs for relevance, quality, and safety
  • Designing and deploying agents — function-calling, conversation memory, tool integration (APIs, knowledge stores, search), autonomous workflows with approval controls, and multi-agent orchestration
  • Computer vision and multimodal workflows — image and video generation, visual Q&A, alt-text generation, and Content Understanding pipelines for object and region identification
  • Text analysis and speech — entity extraction, sentiment, summarisation, translation, and speech-to-text/text-to-speech for agentic modalities
  • Information extraction — OCR, layout analysis, and field extraction using Content Understanding to produce grounded structured outputs for RAG and agent tools
  • Applying responsible AI across the full solution — safety filters, guardrails, risk detection, trace logging, provenance metadata, and agent oversight controls

Issued

Microsoft — 2026-06-23