AWS Machine Learning Specialty Certification Guide

About this course

This comprehensive guide prepares you for the AWS Certified Machine Learning Specialty (MLS-C01) exam. You'll gain expertise in designing machine learning solutions and deploying models on the AWS cloud. Through detailed explanations of AWS services and machine learning concepts, you’ll build the knowledge necessary to succeed in real-world applications of machine learning. The course offers a practical approach to mastering AWS machine learning, covering everything from data preparation and transformation to model deployment using Amazon SageMaker. You'll also dive into machine learning algorithms, optimization techniques, and the implementation of AI/ML services on AWS. What sets this course apart is its focus on exam preparation combined with professional skills development. You’ll work through mock exams, self-assessment questions, and tips to ensure you're fully ready for the MLS-C01 certification, while also gaining hands-on experience with AWS services. This course is designed for students and professionals aiming to pass the AWS MLS-C01 exam or deepen their understanding of machine learning on AWS. Prior knowledge of machine learning and AWS services is recommended to make the most of this content. This course is based on the book AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide, by Samanath Nanda, and Weslley Moura.

Course objectives

• prepare for the AWS Certified Machine Learning Specialty exam
• develop professional skills in machine learning
• gain hands-on experience with AWS tools