The Amazon SageMaker training course gives analysts insight into SageMaker as a fully-managed service that covers the entire Machine Learning workflow. The course begins with delegates learning the ability to label and prepare data, choosing an algorithm and training the algorithm. Next the course covers how to tune and optimize the algorithm for deployment, make predictions and take action. The course concludes with a lesson on forecasting.
This course includes a hands-on investigation of datasets as well as plotting data with Amazon SageMaker. Delegates should have a familiarity with programming in at least one programming language and a basic familiarity with AWS.
By attending SageMaker workshop, delegates will:
- Describe how Machine Learning differs from business analytics.
- Discern forecasting and how it is done in SageMaker.
- Apply skills learned to predictive analysis (price prediction).
This SageMaker course is for Analysts, Data Scientists, and Software Developers