This workshop introduces cloud computing, Amazon Web Solutions
infrastructure (including AWS Regions and Availability Zones), and the
types of workloads that are a good fit for AWS. This session includes a
hands-on lab where we will use a Jupyter notebook and AWS APIs to
launch a simple web application on AWS. The last 30 minutes of this
workshop are reserved for Q&A and continued practice with the
platform.
Advanced registration is REQUIRED for this workshop. UC Davis DataLab
Affiliates and UC students have priority registration. Register here.
Note that while this workshop is similar in lecture-content to the
“Introduction to AWS for Research,” it will not use the AWS GUI and
instead prior experience with Python and Jupyter notebooks is necessary
for the hands-on lab component.
Prerequisites:
- No prior experience with AWS is necessary. This workshop is a
stand-alone and does not build on the prior Intro to AWS for Research
workshop.
- You will need access to a computer with a ssh client (example for Windows and using PuTTY).
- Familiarity with running code in a Jupyter Notebooks
- Basic Python programming experience
