Deep Dive AI-901

Azure AI fundamentals. Identify AI concepts and learn how to implement solutions with Microsoft Foundry: agents, multimodal models, and information extraction.

The main study guides give you a quick summary ideal for reviewing right before the exam.
Here you'll find a deep exploration of every key concept.

D1Identify AI concepts and capabilities (40–45%)

Responsible AI — the 6 principles

Types of AI workloads

Text analysis — NLP

Computer vision and image generation

Foundry Tools: Language, Speech and Translator

D2Implement AI solutions with Microsoft Foundry (55–60%)

Microsoft Foundry — platform and model catalog

Apps and agents with Foundry — prompts, SDK, Portal Agents

Azure OpenAI in Foundry — models and deployments

Prompt Engineering — techniques and parameters

Implementing vision with Foundry

Content Understanding — extraction from documents, images, audio, and video

RAG and grounding with Generative AI

Responsible AI in GenAI — filters and guardrails

ExtraAdditional content (outside the current blueprint)

Classical Machine Learning fundamentals

Azure Machine Learning

AutoML and Designer — no-code ML

Conversational AI — CLU, QnA, and Bot Service

Tip: this section is for deep learning. Use the main guide to review right before the exam.

Go to the AI-901 main guide

Practice AI-901 with interactive simulations

Click-through labs: navigate a step-by-step portal simulation, with clear objectives and verification on every action — no real costs.

Demo labs available with a free account

Full access when you buy the exam

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