Prerequisites and Course Preparation

Experience and Skills to Succeed in CLASS

All prospective participants must complete the CLASS Self-Assessment. Before submitting an application, you must be able to answer “yes” to most of these questions.

Completed Your Self Assessment?

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To be successful, participants must be familiar with:

• Using the command line (Linux/Unix) for day-to-day activities
• Programming or scripting
• Deploying and running containers (Docker, Singularity, or similar)
• Github/Git commands

In addition, participants must also have at least six months of experience with at least one cloud infrastructure (e.g. AWS, GCP, Azure, OpenStack, etc.), including deploying a virtual machine, creating a virtual private cloud, provisioning storage accounts, and utilizing identity and access management.  

Participants should have some experience supporting computational and data-intensive research and utilizing cloud computing, but this is not required. Specifically, the participant should have experience in a majority of the following areas:

•  Worked on a research computing project (either directly or indirectly).
• Developed or helped develop a research computing workflow or have automated the operation or administration of computing systems.
• Assisted researchers in troubleshooting performance, configuration, and other technical issues.

Note: Given the diversity of the backgrounds in the research computing and data profession, the required background and skills is not a strict set of prerequisites but rather represents many of the skills and experiences needed to be successful. Please reach out with questions on whether the CLASS Advanced is a good fit for your needs and skill level. 

Submit your applications today (opens in a new window)!