Turn your AI-900 study material into flashcards with AI
Upload the PDFs, slides, or notes you study from and get flashcards covering machine learning, computer vision, NLP, and generative AI.
How to build AI-900 exam flashcards from your own notes
Most people preparing for the AI-900 exam cover the same core ground: machine learning types, responsible AI principles, and which Azure service fits which workload. AI-900 exam flashcards built from your own course notes let you drill those terms until recall feels automatic.
- Make one deck per exam area, such as AI workloads, machine learning on Azure, and generative AI.
- Pair service names with the workloads they match, for example Azure AI Language for sentiment analysis.
- Use short answer cards for definitions and quizzes for scenario questions.
- Review for a few minutes daily instead of cramming the night before the exam.
Built from your material
Upload PDFs, DOCX or PPTX slides, plain notes, or photos of pages. Text recognition reads the images.
Spaced repetition
Cards return at increasing intervals, so your review time goes to the terms you are about to forget.
Quizzes and mind maps
Multiple choice, true/false, and short answer quizzes with explanations, plus mind maps that show how topics connect.
How it works
Upload your notes
Add the course slides, study guide, or Microsoft Learn notes you are working from.
Generate your cards
DeckOwl turns the material into flashcards you can review right in your browser.
Review on a schedule
Study a little each day and let spacing show which AI-900 terms need more practice.
Ready-made decks exist, but they may not match the study guide or lectures you are actually using. Generating cards from your own material keeps the wording and emphasis aligned with what your course covers.
Spacing matters most for definitions you mix up, such as classification versus regression or the difference between computer vision and natural language processing. Review those cards more often than the ones you already know.
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Frequently asked questions
How many flashcards should I make for the AI-900 exam?
There is no fixed number. A good start is one card per key term in each exam area, then add cards for any terms you keep missing.
Which topics should AI-900 flashcards cover?
Focus on AI workloads and considerations, fundamental machine learning principles on Azure, computer vision, natural language processing, and generative AI workloads on Azure.
Can I export my flashcards to Anki?
Yes. Anki export is included on the Plus plan, which also covers PDF, DOCX, and CSV export.
Is there a free way to start?
The free plan includes 3 generations per month and lets you study in the browser. No credit card is needed to start.
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