Amazon Web Services (AWS)
Data & AI · Expert
The AWS Machine Learning Specialty is for practitioners who build and operate ML systems on AWS: framing the problem, engineering features, choosing and training models, deploying them, and governing the data and models involved. It is the ML counterpart to the professional architect exams.
Certifications
ML business problem framing
Data engineering and feature engineering
Model training, tuning and evaluation
Model deployment and responsible AI governance
A proctored exam of scenario-based multiple-choice items across the ML specialty blueprint, covering the full lifecycle from framing through deployment.
AWS recommends preparation through the developer and data-analytics associate or professional exams; these are recommendations rather than enforced prerequisites.
Subject- and topic-filtered practice across the Data & AI domains this certification covers
A daily plan that blends new practice with FSRS spaced revision of what you have already attempted
Per-topic ability estimates (IRT theta and BKT mastery) that surface your weakest domains first
A rationale on every attempt, reactive to the specific mistake you made
No verified question bank yet
No verified AWS ML Specialty question bank exists yet, so no practice sessions or mock exams are published for this certification. The syllabus and exam information here are published now; the bank is listed as soon as its questions pass verification.
Amazon Web Services (AWS) sets the exam content, timing and policy. Those details are restated from the issuer's published material and can change between versions — treat the issuer's own page as the authority for your attempt.
Certifications
PMP
Project Management Professional (PMP)
PMI-ACP
Agile Certified Practitioner (PMI-ACP)
PRINCE2 Practitioner
PRINCE2 Project Management (Practitioner Level)
PMI-RMP
Risk Management Professional (PMI-RMP)
AWS SAA
AWS Certified Solutions Architect – Associate
AWS SAP
AWS Certified Solutions Architect – Professional
Azure AZ-104
Microsoft Certified: Azure Administrator Associate (AZ-104)
Azure AZ-305
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Questions
Not yet. No verified AWS ML Specialty question bank exists today, so no practice session is advertised — an empty screen is worse than an honest wait. The syllabus, exam pattern and eligibility are published here now, and the bank is listed as soon as it is verified.
AWS Certified Machine Learning – Specialty is examined across these areas: ML business problem framing; Data engineering and feature engineering; Model training, tuning and evaluation; Model deployment and responsible AI governance. A proctored exam of scenario-based multiple-choice items across the ML specialty blueprint, covering the full lifecycle from framing through deployment.
Amazon Web Services (AWS) sets it, and it changes between policy versions. AWS recommends preparation through the developer and data-analytics associate or professional exams; these are recommendations rather than enforced prerequisites.