Getting ready for the AWS Certified Machine Learning – Specialty (MLS-C01) exam in 2025? This course gives you the closest thing to the real exam—fully updated for the latest MLS-C01 guide, domains, and question formats.
This isn’t a theory-heavy lecture series. It’s hands-on, practice-focused training designed to help you measure your readiness and sharpen your skills with challenging, scenario-based questions that reflect the complexity of the real test.
You’ll cover every core exam domain, including:
Data Engineering
Exploratory Data Analysis (EDA)
Modeling
Machine Learning Implementation and Operations
Each practice exam includes timed sessions, a mix of question types (single/multiple choice, matching, and scenario-based), and in-depth explanations. You won’t just see the correct answer—you’ll learn why it’s correct, how AWS expects you to approach ML problems, and the traps to avoid.
By the end, you’ll be ready to:
Select the right AWS services for data collection, storage, and preprocessing
Apply feature engineering and EDA techniques effectively
Choose, train, and tune ML models using Amazon SageMaker and related services
Deploy, monitor, and maintain ML models in production at scale
Implement secure, cost-optimized, and highly available ML workflows on AWS
Our practice questions are continuously updated to reflect new AWS ML/AI services, emerging trends in machine learning, and evolving question patterns used in the exam.
Whether you’re a data scientist, ML engineer, solutions architect, or developer, this prep course ensures you walk into the exam ready—not just memorizing answers, but thinking like an AWS-certified machine learning specialist.
Join thousands of professionals who have passed MLS-C01 with focused, exam-based preparation—and take your AWS ML skills to the next level.
