Mizzou AI, Cloud and DevOps Hands-On Training Workshop Series

Mizzou AI, Cloud and DevOps Hands-On Training Workshop Series

Want to learn how to use AI, Cloud & DevOps technologies in real-world applications? Interested in learning concepts and tools of microservices, containerized workloads and clusters across multiple clouds? If so, join us in the Mizzou AI, Cloud & DevOps Workshop Series! Open to online students in roles of course instructors, undergraduate/graduate students, cloud engineers, system administrators and other learners.

Previous Workshops

Workshop 11: MLOps Using MLFlow on AWS for AI-based Scientific Workflows

Sept. 8, 2025

Workshop 10: Confidential Computing to Secure Data Processing in Scientific Workflows

May 16, 2025

Workshop 9: Automation of AI-based App Development on the Cloud

April 4, 2025

Workshop 8: Running Computing Clusters on the Cloud for Scientific Workflows

March 21, 2025

Workshop 7: Running AI-based Scientific Workflows on Cloud

Dec. 6, 2024

Workshop 6: Edge Computing with K3s

Dec. 1, 2023

Workshop 5: Prometheus/Grafana for Monitoring and Alerting

Dec. 9, 2022

Workshop 4: Ansible

Aug. 26, 2022

Workshop 3: VMare Tanzu

Aug. 19, 2022

In Collaboration with:

Supported by:

NSF CyberTraining Grant #OAC-2417826

Overview

Mizzou AI, Cloud & DevOps is a free, online learning platform that consists of an educational catalog of hands-on laboratory exercises based on various DevOps technologies, cloud platforms, and real-world applications. At the Mizzou AI, Cloud & DevOps workshop, you will learn how to use the online learning platform and conduct various hands-on learning on trending technologies (e.g., Docker, Kubernetes, Jenkins) for cutting-edge applications (e.g., container orchestration for video processing, cloud networking for cyber defense, edge computing for distributed workflows, data pipeline automation for knowledge discovery).

Expected outcomes

The ultimate goal of the workshop is to get students excited about AI, Cloud & DevOps and to provide guidance on how to get started with basics of accessing cloud infrastructure and tools, and how to integrate relevant technologies in real-world application use cases. Students after the workshop will obtain skills assessment based on their learning outcomes, and gain insights to apply the tools and technologies in other real-world application scenarios.

Workshop outcomes

The workshop is organized and led by Professor Prasad Calyam, faculty in the Department of Electrical Engineering and Computer Science, executive director of Mizzou AERI and interim associate dean for research in the College of Engineering.

Workshop activities

• Introduction to Cloud & DevOps
• Access to Mizzou Cloud and DevOps web portal, cloud platforms
• Labs featuring learning of cutting-edge Cloud and DevOps technologies integrated with real-world applications
• Skill assessment, badges allocation and peer ranking
• Join the learning community of Mizzou AI, Cloud and DevOps

Requirements

Workshop participants are required to have the following to attend the workshop for hands-on experience:

• A personal computer with Internet access and SSH utilities (MacOS: terminal; Win10: PuTTY/MobaXTerm)
• A GitHub account to use the Mizzou Cloud and DevOps web portal

Questions

If you have any questions regarding the workshop, please contact Roshan Neupane at neupaner@missouri.edu.