Winter Boot Camp 2020
7th Annual Interdisciplinary Quantitative Biology Bootcamp
Cloud Technologies Best Practices
January 13th-17th 2020
Rutgers Institute for Quantitative Biomedicine
174 Frelinghuysen Road, Piscataway, NJ 08854
On-demand, cloud-based storage and computing resources are becoming increasingly common in all areas of basic and applied research. Acquiring and efficiently utilizing cloud services presents a variety of challenges for researchers and students across the sciences. The Rutgers Institute for Quantitative Biomedicine is delighted to focus its 7th Annual Interdisciplinary Quantitative Biology Bootcamp on Cloud Technologies Best Practices. This immersive full-time 5-day program (9am-5pm) will focus on machine/deep learning and data-intensive computing tools and services available on the Amazon and Google Cloud platforms.
The 2020 Bootcamp curriculum will cover strategies for developing new workflows and migrating existing workflows in these application areas by taking advantage of the latest infrastructure available within the Amazon and Google cloud computing environments. Instruction will be provided by training professionals from Amazon and Google presented with a hands-on emphasis.
The Bootcamp will also feature a special contribution from the National Institutes of Health (NIH) Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative. By partnering with the STRIDES Initiative, NIH-funded investigators can more easily leverage the cloud to analyze, store, and share their research data and tools, and begin to create a robust, interconnected data ecosystem that breaks down research silos. A key component of the NIH STRIDES mission is promoting access to biomedical research-specific cloud training. With support from the NIH Office of the Director and STRIDES, the Rutgers Institute for Quantitative Biomedicine is able to offer an entire week of cloud computing training with the aim of empowering researchers to better understand and take advantage of the many benefits that the cloud has to offer.
As a Bootcamp participant, you will embark on a journey that lays the foundation for understanding cloud computing and provides hands-on experience that will allow you to apply these concepts and methods within your research program.
The Bootcamp begins with back-to-back foundational modules provided by Google Cloud Platform (GCP) on Day 1 and Amazon Web Services (AWS) on Day 2. These introductory modules will expose you to the terminology, concepts, and nuances between cloud and on-premises computing that set the stage for engaging with more advanced subject matter on Days 3-5.
The final three days of the Bootcamp will cover a variety of topics in both cloud platforms. You will be choose the training path that best suits your research needs.
Interested in Machine/Deep Learning and AI? You can spend Days 3-5 immersed in AWS and/or GCP modules covering:
- Preparing a dataset for training
- Training and evaluating a machine/deep learning model
- Using AI to tune a machine/deep learning model
- Preparing a machine/deep learning model for production
- Thinking critically about machine/deep learning model results
- And more!
Or maybe you want to learn about developing data intensive cloud computing applications. You can spend Days 3-5 immersed in AWS and/or GCP modules covering:
- Best practices for application development
- How to choose the appropriate data storage option for your application data
- Implementation of federated identity management
- Development of loosely coupled application components or microservices
- Integrating application components and data sources
- How to debug, trace, and monitor applications
- And more
You will also be able to get hands-on experience in containerization and running container-enabled microservices; as well as data engineering and practical aspects of data science. Flexibility has been key to designing Days 3-5 of the Bootcamp curriculum. You will be able to mix and match modules from either major topic or either cloud platform, or a combination—whichever training path best suits your needs.
Space is LIMITED and you MUST register. Registration will be open December 2nd–13th 2019. The Bootcamp is open to:
- Rutgers Grad Students (register for 16:848:601, 1 credit pass/fail)
- Rutgers Junior/Senior Undergrads (register for 01:556:480, 1 credit pass/fail)
- Federally-funded faculty members from Rutgers and other universities and their research staff/postdoctoral fellows
- Biopharmaceutical industry researchers
Equipment needed:
- All participants are expected to bring their own laptops
- Loaner laptops will NOT be available for participant use
- Windows Laptop users must have administrative rights
- Windows Laptops will require an ssh client such as putty or cygwin
- For Google training Google Chrome is the preferred browser
Parking
Visitors MUST register their vehicles to park on campus or they will get ticketed.
Rutgers students, staff, and faculty must park according to their permits.
Parking will be available in Busch Lots A & B on Hoes Lane West, Piscataway, NJ 08854.
