Disclaimer: I am not an AI engineer, and I have passed beta AI-900 just for fun. I want to share the minimum level of knowledge that is required to pass this exam. The beta exam has 53 questions. My score was 800.
It will be a small post because AI-900 is a pretty simple fundamentals exam. I know that you could download the required exam skills outline, but I want to share the minimum set of skills:
- Basic knowledge in Machine Learning (You have to know the difference between regression, k-mean and classification so on)
- Guiding principles for responsible AI (fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability).
- You should understand AI Azure Services (witch one responsible for what, without practical experience).
I have used for learning next resources:
- ML - https://www.coursera.org/learn/machine-learning
- The topics are covered in Online Learning paths on the exam page.
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