1 - Day 1
IntroductionIntroduction to Machine Learning and the ML PipelineIntroduction to Amazon SageMakerProblem Formulation
2 - Day 2
Problem Formulation (continued)Preprocessing
3 - Day 3
Model TrainingModel Evaluation
4 - Day 4
Feature Engineering and Model TuningDeployment
Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Who is it For?
Anyone who wants to learn about the ML pipeline via Amazon SageMaker, even if you have little to no experience with machine learning
Basic knowledge of Python
Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
Basic understanding of working in a Jupyter notebook environment