AI-901: Microsoft Azure AI Fundamentals for Business Professionals
Foundational, hands-on AI-901 prep for business professionals. Learn Responsible AI, Foundry models, prompts, agents, text, speech, vision, and Content Understanding — all in the Azure portal, no coding required.
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Exam Preparation Included
Practice with real exam-style questions for the AI-901 certification. AI-powered feedback helps you understand every answer.
About This Course
Course Curriculum
12 Lessons
Responsible AI Principles
Teaching lesson: Microsoft's six Responsible AI principles (fairness, reliability & safety, privacy & security, inclusiveness, transparency, accountability) and how they show up in Azure AI services and governance features.
Apply Responsible AI in the Portal
Hands-on lab (portal only): configure Content Safety, examine default guardrails in Foundry model deployments, and walk through Azure AI resource governance controls.
AI Models and Configurations
Teaching lesson: what large language models, small language models, and multimodal models are; tokens, context windows, temperature, top-p, and how model choice and configuration affect output quality, cost, and latency.
Explore Models in the Foundry Catalog
Hands-on lab (portal only): browse the Microsoft Foundry model catalog, compare GPT, Phi, and open-source models, examine model cards, and review deployment options in the Foundry portal.
AI Workloads Overview
Teaching lesson: the four Azure AI workload categories (generative AI, natural language, computer vision, document intelligence) and which Microsoft Foundry tools and Azure AI services map to each.
Tour Azure AI Workload Tools in Azure AI Foundry
Hands-on lab (portal only): tour every Azure AI workload area inside Azure AI Foundry — Language Playground (sentiment, key phrases, NER, PII, summarization), Speech AI Services (transcription, voice synthesis, speech translation), Vision AI Services (image captions, tags, object detection, OCR), Images Playground (gpt-image-1 image generation), and Content Understanding (structured document extraction). No code required — everything runs in the browser against pre-provisioned resources.
Prompt Engineering Fundamentals
Teaching lesson: prompt structure (system, user, assistant), few-shot prompting, grounding, chain-of-thought, and how prompt design drives output quality. Uses narrative examples rather than code.
Practice Prompt Engineering in the Foundry Playground
Hands-on lab (portal only): deploy a chat model in Microsoft Foundry and iterate on prompts in the Foundry playground — system prompts, few-shot examples, temperature, and grounding with your own data.
Deploy and Chat with Models in Foundry
Teaching lesson: model deployment options (serverless vs dedicated, PTU vs standard), deployment regions and quotas, and how to pick the right deployment for a business scenario.
Deploy a Chat Model and Use the Playground
Hands-on lab (portal only): create a Foundry project, deploy GPT-4o-mini, and hold a multi-turn conversation in the Foundry chat playground — adjust system prompt, temperature, and max tokens.
Single-Agent Solutions in Foundry
Teaching lesson: what an agent is (model + instructions + tools + knowledge), single-agent patterns, Foundry Agent Service, tools (functions, file search, code interpreter), and when to build an agent vs. a plain chat experience.
Build a Foundry Agent in the Portal
Hands-on lab (portal only): create a single-agent solution in Microsoft Foundry — configure the model, system instructions, attach file-search knowledge, and chat with the agent in the playground.