Welcome to the AWS SageMaker course, where you'll learn utliize AWS's machine learning capabilities for building and hosting models efficiently. This course is designed for both AWS novices and AWS seasoned professionals, who are starting out on their journey to developing the ML skills to manage, deploy, and scale machine learning projects using SageMaker's features. Even if you have no ML or SageMaker experience, the course will jump start your ML learning. The course will follow a typical machine learning pipeline from data preparation all the way through to hosting and monitoring. Activities in the pipeline align to different personas and so the course follows the persona actions for each stage.
Alistair is a seasoned AWS consultant and instructor with over 20 years of experience in the IT industry. He has worked across a wide range of sectors, from startups to global enterprises, bringing a deep understanding of real-world infrastructure and cloud challenges.
For the past two years, Alistair has been focused on helping enterprise retail banks productionize their SageMaker platforms—working hands-on with data scientists and platform teams to build scalable, reliable ML solutions. This practical experience translates directly into the course, ensuring learners gain insights grounded in reality, not just theory.
Known for his clear, structured teaching style, Alistair excels at breaking down complex topics so they’re accessible to everyone, regardless of background.
He holds multiple AWS certifications, including: