AI-103 Microsoft Certified Azure AI Apps and Agents Developer Associate

Domain 1 Plan and manage an Azure AI solution (25-30%)

Choose appropriate models (LLMs, small and multimodal models) and Foundry services for generative tasks, grounding, vector search, agent workflows and multimodal processing

Choose retrieval and indexing methods and memory, tool and knowledge integration services for agents

Design Azure infrastructure, choose deployment options, configure model and agent deployments, and integrate Foundry projects with CI/CD pipelines

Manage quotas, scaling, rate limits and cost, and monitor model performance, drift, safety events and grounding quality

Configure security including managed identity, private networking, keyless credentials and role policies

Implement responsible AI: safety filters, guardrails, content moderation, evaluators, audit trace logging and agent oversight controls

Domain 2 Implement generative AI and agentic solutions (30-35%)

Deploy and consume LLMs, small, code and multimodal models, and implement retrieval-augmented generation (RAG)

Design tool-augmented flows and multistep reasoning pipelines, and evaluate models and apps for fabrications, relevance, quality and safety

Integrate generative workflows using Foundry SDKs and connectors, and connect an application to a Foundry project

Define agent roles, goals and tool schemas, and build agents integrating retrieval, function-calling and conversation memory

Implement orchestrated multi-agent solutions and autonomous workflows with safeguards and approval controls

Optimize with prompt engineering, model parameters, reflection and self-critique loops, and set up observability with tracing, token analytics and safety signals

Domain 3 Implement computer vision solutions (10-15%)

Generate images and videos from text prompts and reference media, and configure image and video editing workflows

Build multimodal understanding: analyze visual context, produce captions, and enable question-answering grounded in visual evidence

Generate accessible alt-text and image descriptions, and extract visual characteristics with Azure Content Understanding in Foundry Tools

Implement video analysis and identify objects, components or regions within images and video

Implement responsible AI for multimodal content: filter unsafe visuals, detect indirect prompt injection in images, and enforce visual policy rules

Domain 4 Implement text analysis solutions (10-15%)

Extract entities, topics, summaries and structured JSON using generative prompting and Foundry Tools

Configure detection of sentiment, tone, safety issues and sensitive content

Translate text using Azure Translator in Foundry Tools or LLM-powered translation flows

Customize language model outputs for domain tasks such as compliance summarization and domain extraction

Implement speech-to-text and text-to-speech, custom speech models, multimodal reasoning from audio, and speech translation

Domain 5 Implement information extraction solutions (10-15%)

Ingest and index documents, images, audio and video, and configure semantic, hybrid and vector search for grounding

Implement enrichment skills and configure RAG ingestion flow including optical character recognition (OCR)

Connect retrieval pipelines directly to workflows and agent tools

Extract information using multimodal pipelines combining OCR, layout analysis and field extraction

Produce clean, grounded representations and structured or markdown outputs with Content Understanding