AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide: The ultimate guide to passing the MLS-C01 exam on your first attempt
This comprehensive exam guide is designed to help professionals and students prepare confidently for the AWS Certified Machine Learning Specialty (MLS-C01) certification. Aligned with the latest exam syllabus, the book covers essential machine learning concepts and their practical application on the AWS cloud infrastructure. Readers will gain proficiency in identifying appropriate ML frameworks, applying the CRISP-DM methodology to build pipelines, and utilizing various AWS services to construct robust AI/ML solutions. The text also details critical data preparation techniques, including handling missing data, outliers, and performing transformations like one-hot encoding and text mining. Beyond theoretical knowledge, the guide emphasizes practical skills necessary for real-world projects, such as creating training and inference pipelines with Amazon SageMaker. It walks readers through the entire machine learning lifecycle, from data understanding and visualization to evaluating, optimizing, and deploying models in production environments. Specific attention is given to diverse tasks like classification, regression, clustering, forecasting, and image processing. The book ensures a deep understanding of how to combine AWS services for both batch and real-time data processing, making it a valuable resource for mastering AWS machine learning capabilities. To reinforce learning and ensure exam readiness, the book includes access to a suite of web-based tools. These supplementary resources feature mock exams with timers, detailed solutions, interactive flashcards, and exam tips, all accessible on PCs, tablets, and smartphones. By integrating these study aids with in-depth content on model deployment and monitoring, the guide provides a complete pathway for achieving certification. Whether you are looking to pass the MLS-C01 exam or simply enhance your expertise in AWS machine learning services, this book offers the structured approach needed for success.
About the Authors
Somanath Nanda, Weslley Moura
