AWS Certified Machine Learning – Specialty (MLS-C01) Certification Guide 2nd Edition

Capture your next career milestone with AWS Certified Machine Learning – Specialty (MLS-C01) Certification Guide, 2nd Edition by Somanath Nanda — a focused, up-to-date roadmap designed to help data scientists, ML engineers, and cloud practitioners master the skills AWS demands.

This revised edition aligns closely with the latest MLS-C01 exam objectives and breaks complex concepts into practical, exam-ready lessons. You’ll find clear explanations of core AWS services for machine learning — including SageMaker, S3, Lambda, IAM, Glue, and streaming/data-store integrations — together with step-by-step workflows for data preparation, feature engineering, model training, evaluation, and deployment. Real-world examples and scenario-based questions sharpen analytical thinking for both the test and on-the-job challenges.

Why this guide stands out: concise concept maps, targeted exam tips, and hands-on case studies that translate theory into production-ready solutions. Whether you’re preparing in North America, Europe, Asia, or anywhere the AWS ecosystem is growing, this book delivers the practical knowledge employers seek and the confidence exam candidates need.

Gain actionable skills to design scalable ML pipelines, optimize model performance, and implement secure, cost-effective AWS solutions. If you want a single, authoritative reference that balances deep technical detail with accessible instruction, Somanath Nanda’s 2nd Edition is an essential companion on your path to the MLS-C01 certification.

Ready to advance your cloud-ML career? Add this comprehensive certification guide to your study plan and take the next step toward AWS mastery.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.