AI & ML fundamentals
Core concepts and terminology; AI vs ML vs Deep Learning; ethical and responsible AI; common business scenarios.
Requirements, measured skills, exam format, resources, and a proven study path to pass the Microsoft AI-900 certification.
Core concepts and terminology; AI vs ML vs Deep Learning; ethical and responsible AI; common business scenarios.
What each capability does and when to use it for images/video, text, and voice with Cognitive Services.
Basics of recommendations and anomaly detection; foundations of Azure ML for experiments and models.
Note: format may change—always verify on the official booking page.
A step-by-step verification of prerequisites, study flow, and booking.
Clear definitions of entities/concepts and common questions.
Practice with exam-style questions and scenarios.
Take the official course and book your exam with confidence.
Students, non-technical roles, and entry-level professionals seeking solid AI literacy on Azure.
No. The exam focuses on concepts and service capabilities rather than coding.
About one hour with multiple-choice/scenario questions; always confirm current details on the official page.
Follow a structured 2–4 week plan, do guided exercises, and validate with mock tests.