Accelerate Cloud Adoption for Research IT with CLASS Advanced Beginning October 16

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The Fall 2023 CLASS Advanced program, Internet2’s advanced workforce development and cloud training tailored for research IT, begins October 16, 2023. This two-week intensive learning experience empowers the research and higher education community to leverage cloud platforms for research workflows.

Kate Birney, MS, CISSP, CCSP, operating systems/network analyst, Infrastructure Services, Oregon State University, credits CLASS Advanced with providing her an opportunity to learn from experts and connect with peers while finding new ways to leverage the power of cloud computing.

“Learning from experts in the field of cloud computing, with extensive experience supporting research environments, was incredibly helpful for me in terms of acquiring hands-on, practical knowledge about how to best support the researchers in higher education settings,” Birney explained. “Additionally, making connections with so many peers who work in similar settings as I do has been invaluable and also extraordinarily rewarding.”

“I would absolutely recommend CLASS Advanced training to folks who are looking to learn more about cloud computing within research and higher education settings,” she continued. “The process of working with peers and finding new ways to utilize the power of cloud computing is very empowering.”

Leveraging the Power of Cloud Computing

Participants will learn how to effectively build and manage cloud computing resources for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). CLASS Advanced is unique in that it offers vendor-neutral solutions to address problems specific to higher education.

Learning from Experts

In the first week, participants will learn cloud-native technologies from Sujee Maniyam, a Big Data expert and technical instructor at Elephant Scale. Examples of topics to be covered include multi-cloud deployment using Terraform, container orchestration in the cloud using Kubernetes, and building cloud-native machine learning workflows for big datasets. 

Connecting with Peers

In the second week, participants will put what they learn to the test by working together in small groups on a proposed project relevant to the challenges the research IT community faces. For example, a project can focus on how administrators configure the network for multi-cloud workloads and cloud bursting. The goal of these projects is to build reproducible and scalable solutions that the cohort will share openly on Github [see previous a CLASS Advanced project] and collate into an open-source playbook that will be made widely available to the R&E community. 

More information, including how and why to reserve your space today, is available on the CLASS Advanced website. For further questions, send us an email at class@internet2.edu. We look forward to seeing you in CLASS!

ICYMI

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