April 3-14, 2023
Course Information for CLASS Advanced Spring 2023 Cohort
The Spring 2023 Advanced CLASS Cohort will be held from April 3, 2023 – April 14, 2023.
The CLASS Advanced program has two parts:
Week 1: April 3-7: Intensive Training including hands-on labs, case studies, and best practices
| Note: Each day will begin at 8 a.m. PT / 11 a.m. ET and end at 2 p.m. PT / 5 p.m. ET. |
| Course Outline example only, and not limited to: |
| Introduction to the cloud (~ 1 hour) –Patterns of moving to the cloud (lift and shift vs. native architectures), objectively evaluating cloud platforms, Cloud best practices |
| IAM user management (~ 4 hours) — Users, groups and roles, Cloud security principles, tie in with enterprise authentication systems, security case studies, and best practices |
| Cloud storage and databases (~ 3 hours) — Introduction to Cloud storage fundamentals, SQL/NoSQL data stores, tiers of Cloud storage, data migration, performance, and cost considerations |
| Networking and data movement (~ 2 hours) — Networking fundamentals: VPC, firewall rules |
| Containerization (4 hours) — Docker, Kubernetes, container orchestration, container lifecycle management |
| Computing, elasticity, and scaling ( — Virtual machines, images, snapshots, Serverless compute, load balancers, auto-scaling with load balancing, load testing tools |
| Cost management (~ 4 hours) — Deep dive into cost models of clouds, exploring billing dashboards, Well-architected Frameworks |
| AI, Deep Learning, Machine Learning (~ 4 hours) — Intro to AI / ML / DL native systems on the cloud, Jupyter notebook environments, end-to-end ML on a cloud system |
| Multi-cloud Infrastructure-as-code (IaC) (~ 4 hours) — IAS tools overview and deployment (Terraform, etc.), CI/CD |
Week 2 (April 10 – April 14): Hands-on, small-group projects
| Participants will be invited to submit project topics that interest them. Each project will have 4 – 5 cohort participants and one subject matter expert (SME). Examples of project ideas: |
| — Using Terraform for multi-cloud and/or hybrid workloads |
| — Deployment of Jupyter Notebooks using Kubernetes on AWS, Azure, and GCP and analyzing out-of-the-box solutions (e.g. Sagemaker, Lightsail, etc.) vs. custom builds |
| — Utilizing containers and serverless deployments for event-driven applications |
| — Network configuration for on-premise and across all three cloud providers |
Meet Your Instructor |
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| The instructor for the CLASS Advanced training is Sujee Maniyam of Elephant Scale. Sujee has over 10 years of consulting and technical teaching experience and specializes in big data, machine learning, cloud, and emerging technologies. |
The goal of the projects is to build reproducible and scalable solutions that the cohort will share openly on Github. There will also be a final presentation on April 14, 2023.
For more information, contact class@internet2.edu
SPRING COURSE INFORMATION | PREREQUISITES AND COURSE PREPARATION | PROGRAM FEES AND REGISTRATION