Course Preview | AI-103 | Develop AI apps and agents on Azure
Building an AI solution goes beyond calling a model. The focus is on creating production-ready AI applications and agents with Microsoft Foundry that can use enterprise data, interact with tools, process different content types, and collaborate to complete real tasks.
Core capabilities to know
| Area | What you should understand |
|---|---|
| Generative AI apps | Build conversational applications using models, APIs, and SDKs |
| Grounding | Connect models to your own data for relevant, fact-based responses |
| Agents + tools | Let agents retrieve information and take actions |
| Multi-agent systems | Orchestrate specialized agents to collaborate on workflows |
| Multimodal AI | Process text, documents, vision, and speech |
| Production | Deploy, publish, monitor, secure, and apply responsible AI safeguards |
Exam focus: Understand not just what these capabilities do, but when and why you would use them together in an Azure AI solution.
Think in solution flows
A useful mental model for AI-103 is:
User → AI App/Agent → Model → Data + Tools → Action/Response
For more complex solutions:
User → Orchestrator → Agent A + Agent B + Agent C → Tools/Data → Result
An agent therefore isn't simply a chatbot. It combines a model's reasoning capabilities with instructions, knowledge, and tools so it can perform useful work.
Preparing effectively
The course assumes working knowledge of Python, REST APIs/SDKs, Azure fundamentals, and generative AI concepts. Hands-on practice is important: build applications in Microsoft Foundry, connect models to data, add tools to agents, experiment with multimodal inputs, and create multi-agent workflows.
Key takeaway: Think beyond prompts and models. AI-103 is about assembling the components required for an end-to-end AI solution:
Models → Grounding → Tools → Agents → Orchestration → Production
Related Snipps
- What Microsoft Foundry Provides for Building AI Agents — Core Foundry capabilities for tools, conversations, models, security, storage, and monitoring.
- Microsoft Foundry SDK vs. Foundry Tools SDKs — Understand platform-level and specialized SDKs when developing Foundry solutions.
- Building Production-Ready AI Agents with Microsoft Agent Framework Course — Explores agent architecture, tools, workflows, memory, monitoring, and deployment.
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