Dear CI professionals:

If you are interested in leveraging the cloud for your researchers and on your campus, there are two amazing (and fun!) upcoming learning opportunities from Internet2:

1. CLASS Advanced - Online | April 3-14, 2023 (Early bird discount till March 17: $2250, $2500 thereafter)

CLASS Advanced is one of the only learning programs existing that offers a well-rounded overview of tools and services from three public cloud-providers: AWS, GCP, and Azure. The program is developed by research professionals for the research community. Through a two-week immersive learning experience, participants will be empowered to leverage all three clouds for research workflows and utilize a project-based, cohort model for solving real-world challenges unique to the Research IT community.


The instructor is Sujee Maniyam, a Big Data expert and technical instructor at Elephant Scale/

  • Week 1 (April 3-7): Participants will learn cloud-native technologies and tools, including multi-cloud/hybrid deployment using Terraform, container orchestration in the cloud using Kubernetes, utilizing serverless computing for account monitoring, and build cloud-native AI/ML pipelines.
  • Week 2 (April 10-14): Participants will test their knowledge by working with groups on a project relevant to the challenges the research IT community faces. The goal is to build solutions that the cohort will share openly on Github and collate into an open-source playbook that will be made available to the R&E community.

Seating is limited. Apply today!

2. CLASS Essentials - Online | March 14, 15, 16 ($100 Internet2 Members, $150 non-members)

If you are not ready to tackle the cloud in-depth and need to dip your toes in the shallow end, CLASS Essentials is a good way to get started! There a few spots left for the upcoming iteration:

CLASS Essentials is also research focused. In a 4-hour session, you will learn how to (1) Login and navigate the cloud console (2) Create a virtual machine and cloud storage options (3) Run a simple analysis on the cloud using code that you've stored on Github (4) Monitor costs and (5) Clean up your resources and utilize best practices for developing research workflows on the cloud.

Please let me know if you have questions!


Amanda Tan (
Research Engagement Program Manager
CLASS | Internet2