Do you need to customize a SageMaker environment but don’t have 40, 20, or even 10 hours to spend on training? I see plenty of other courses that teach how to create ML models in SageMaker, but NOT how to set it up and customize it.
Introducing, d8aland’s new mini course on how to customize SageMaker
Our mini courses are designed to be under two hours so you can get to the information you need quickly. They are created for specific use-cases instead of just a lengthy, high level tech overview. In other words, “how do I. . .?”
For example: How do I . . .
Launch an AWS EC2 instance?
Build design and load an AWS RDS or Aurora database?
Create scheduled jobs with AWS Glue and Managed Apache Airflow?
There are some explainer videos, but only enough to understand what we are doing in the demonstrations and why. In this case, how to create a Studio domain, launch JupyterLab and, configure lifecycle scripts and custom images.
I hope you find great value in this course. Please shoot me an email if you have suggestions for this course or any other mini course you would like to see us make.
- Data scientist and analyst who build models in SageMaker but want to learn SageMaker customization
- AWS Cloud Platform Enginners who wants to set up a custom SageMaker environment
- Engineers who work on a cloud platform other than AWS and need to learn about the SageMaker service
