Amazon Web Services (AWS) is a private cloud computing platform and subsidiary of Amazon, founded in 2006. It is a globally recognized leader in cloud computing, offering a wide range of services such as computing power, storage solutions, machine learning, and data analytics. AWS stands out for its scalability, security, and reliability, serving millions of customers including startups, enterprises, and public sector organizations. Its innovative solutions power some of the world's most prominent applications, making it a cornerstone of modern technological infrastructure.

Machine learning is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. This course will teach you, an application developer, how to use Amazon SageMaker to simplify the integration of Machine Learning into your applications. Key topics include: an overview of Machine Learning and problems it can help solve, using a Jupyter Notebook to train a model based on SageMaker’s built-in algorithms and, using SageMaker to publish the validated model. You will finish the class by building a serverless application that integrates with the SageMaker published endpoint. Learn from AWS Training and Certification expert instructors through lectures, demonstrations, discussions and hands-on exercises* as we explore this complex topic from the lens of the application developer.