1. Computer Vision Concepts
Understand how machines interpret visual information — the core Computer Vision tasks, how CNNs work conceptually, and the critical distinctions that AI-900 tests most often.
Understand how machines interpret visual information — the core Computer Vision tasks, how CNNs work conceptually, and the critical distinctions that AI-900 tests most often.
Azure Vision services in depth — Azure AI Vision, Custom Vision, Face API, and Document Intelligence — with capability tables, industry use cases, and exam-critical service selection scenarios.
Explore the four primary AI workload categories in the AI-900 exam: NLP, Computer Vision, Speech, and Generative AI — with definitions, capabilities, Azure service mappings, and a business problem decision table.