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About this tool
Turn an AI certification's published domain weights into a week-by-week study plan with hours per topic and a readiness check against your exam date.
AI Certification Study Planner divides a preparation-hours budget across an exam's published domain weights, so the topic worth 36% of the score gets 36% of your study time instead of an equal share. It covers the AWS AI Practitioner (AIF-C01), AWS Machine Learning Engineer Associate (MLA-C01) and Machine Learning Specialty (MLS-C01), Microsoft AI-900 and AI-102, and the Google Cloud Professional Machine Learning Engineer exam, reserving a fifth of the total for practice exams and revision. Enter your booked exam date and it reports whether your weekly hours actually reach the plan in time.
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Hours follow the vendor's own domain percentages, including a rescale when the guide publishes ranges.
20% of the total is set aside for practice exams and a final pass instead of being an afterthought.
The planner compares hours available before your exam date with the hours the plan requires.
It depends on the level. A fundamentals exam such as AI-900 typically needs 20-30 hours, an associate exam such as AI-102 or MLA-C01 needs roughly 60-100, and the MLS-C01 specialty exam commonly takes 90-140 hours for someone without daily hands-on experience. This planner scales its budget by your stated background: 1.5x for newcomers and 0.7x for people who work with the platform weekly.
AWS scales results from 100 to 1000: the AI Practitioner (AIF-C01) passes at 700, the Machine Learning Engineer Associate (MLA-C01) at 720 and the Machine Learning Specialty (MLS-C01) at 750. Microsoft exams including AI-900 and AI-102 pass at 700 on a 1-1000 scale. Google does not publish a passing score for its Professional Machine Learning Engineer exam.
Start at the fundamentals tier if the cloud platform is new to you — AI-900 takes 45 minutes and covers concepts rather than implementation, and the AWS AI Practitioner plays the same role. Move to AI-102 or MLA-C01 once you can build with the platform's SDKs, and treat MLS-C01 as a specialty exam that assumes real modelling experience.
They follow each vendor's published exam guide, with Microsoft's ranges reduced to their midpoint and rescaled to 100%. Vendors do revise these outlines — sometimes with a new exam code — so open the official skills-measured or exam-content-outline page before you book and adjust if the split has changed.