Azure AI Fundamentals (AI-901) study guide
Azure AI Fundamentals (AI-901) · Work through your exam, one topic at a time.
Microsoft Certified: Azure AI Fundamentals is an entry-level Microsoft Certification earned by passing exam AI-901. Microsoft describes the candidate as someone at the beginning of a career in AI solution development who has conceptual knowledge of AI solutions in Azure plus the foundational technical skills to work with them. Familiarity with Python coding syntax and programming techniques, Azure resources, and REST APIs, SDKs, and CLIs is expected. The exam assesses two areas: identifying AI concepts and capabilities (40–45%) and implementing AI solutions by using Microsoft Foundry (55–60%). Topics on this exam: Identify AI concepts and capabilities and Implement AI solutions by using Microsoft Foundry. The Azure AI Fundamentals (AI-901) study guide has 2 sections and about 865 words.
01AI Concepts and Capabilities
Artificial intelligence is software that performs tasks we associate with human cognition: perceiving, understanding language, reasoning, and generating content. Machine learning is the dominant approach: instead of hand-coding rules, you supply data and the system learns patterns. Deep learning uses layered neural networks and underpins most modern language and vision systems. Generative AI specifically produces new content (text, images, code, audio) rather than only classifying or predicting a label.
391 words, about 2 min02Implementing AI Solutions by Using Microsoft Foundry
Microsoft Foundry is the unified Azure platform for building AI apps: you create a Foundry resource/project , deploy models (including models from the model catalog), and consume them through the Foundry Models inference endpoint. Foundry also provides agent building, evaluation , tracing/observability , and connections to supporting Azure services. Generative apps typically use the Azure AI OpenAI-compatible chat completions API shape. Deployment : a model must be deployed before you call it; the deployment has a name you reference in code, and a hosting option (for example standard pay-per-token versus provisioned throughput).
474 words, about 2 min