Learn how to use the machine learning (ML) pipeline with Amazon SageMaker with hands-on exercises and four days of instruction.
You will learn how to frame your business problems as ML problems and use Amazon SageMaker to train, evaluate, tune, and deploy ML models. Hands-on learning is a key component of this course, so you'll choose a project to work on, and then apply the knowledge and skills you learn to your chosen project in each phase of the pipeline. You'll have a choice of projects: fraud detection, recommendation engines, or flight delays.
This intermediate-level course is delivered through a mix of instructor-led training (ILT), hands-on labs, demonstrations, and group exercises.
Please note: students are required to bring their own laptop/tablet and power cable for this course.