AWS Certified Machine Learning Specialty MLS-C01 [2025]

Learn about cloud based machine learning algorithms, how to integrate with your applications and Certification PrepWelcome to AWS Machine Learning Specialty Course. Experience AWS SageMaker: A Practical Course with Hands-On Learning, Practice Tests and Certification Preparation. ***NEW: In this course, you will gain practical experience with AWS SageMaker through hands-on labs that demonstrate specific concepts.

We will begin by setting up your SageMaker environment. If you are new to machine learning, you will learn how to handle mixed data types, missing data, and how to verify the quality of the model. These topics are essential for machine learning practitioners and the certification exam.

SageMaker uses containers to package algorithms and frameworks, such as Pytorch and TensorFlow. The container-based approach provides a standard interface for building and deploying your models, and it is easy to convert your model into a production application. Through a series of concise labs, you will train, deploy, and invoke your first SageMaker model.

Like any other software project, a machine-learning solution also requires continuous improvement. We will look at how to safely incorporate new changes in a production system, perform A/B testing, and even roll back changes when necessary, all with zero downtime to your application. We will also discuss emerging social trends in the fairness of machine learning and AI systems.