Ace the AWS Certified Machine Learning Specialty (MLS-C01) Exam

Are you ready to prove your expertise in machine learning on AWS and stand out in one of the fastest-growing fields in tech? This course is your comprehensive guide to passing the MLS-C01 certification exam — with confidence.

What You’ll Learn

• Data Engineering (20%) – Design scalable data repositories, build pipelines with AWS Glue & Kinesis, and secure data with IAM & KMS.

• Exploratory Data Analysis (24%) – Prepare, clean, visualize, and engineer features for ML using AWS tools.

• Modeling (36%) – Select the right algorithm, train & tune models, perform hyperparameter optimization, and evaluate results.

• Machine Learning Implementation & Operations (20%) – Deploy models with Amazon SageMaker, monitor with CloudWatch, and follow MLOps best practices.

By the end of this course, you’ll be able to:

• Select the right ML approach for a given business problem.

• Identify the correct AWS services to implement ML solutions.

• Design and deploy scalable, cost-optimized, and secure ML workloads.

• Ace the MLS-C01 exam with practical tips, real exam-style Q&A, and expert insights.

Why Take This Course?

• Tailored for the MLS-C01 Exam – Every lecture maps directly to exam domains and task statements.

• Hands-On Guidance – Learn how AWS services like SageMaker, Glue, Athena, and Rekognition come together in real ML workflows.

• Instructor Expertise – Taught by Ibrahim Malick, AWS Certified Solutions Architect – Professional, AWS Certified Machine Learning Specialist, and AWS Certified AI Practitioner, with 30+ years of IT and teaching experience.

• Practical Case Studies – Churn prediction, fraud detection, recommendation systems, and real-world ML deployments on AWS.

Who This Course Is For

• Data Scientists and ML Engineers preparing for the MLS-C01 certification.

• Solutions Architects and Developers looking to specialize in AI/ML on AWS.

• Professionals with 2+ years of AWS experience running ML or deep learning workloads.

Exam Details

• Format: Multiple-choice & multiple-response

• Questions: 65 (50 scored, 15 unscored)

• Time: 180 minutes

• Passing Score: 750/1000

• Languages: English, Japanese, Korean, Simplified Chinese

Why Now?

The demand for AWS ML expertise has never been higher. Whether you want to boost your career, land new opportunities, or lead ML projects, this certification proves your skills at the highest level.