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OBJECTIVES

Participants will create and access cloud instances (renting and using a windows or linux machine), set security, configure storage, create snapshots, create images, up or down scaling the resources, monitoring resources, billing and perform routine tasks.

BACKGROUND

Cloud offers computers with one to hundreds of cores and megabytes to terabytes of memory, on a hourly basis, from pennies to dollars and on-demand, for anyone who can use a computer and internet. This democratizes the high performance computing that everybody can use.

Hands-on Skills/Tools Taught:

Cloud platform: Amazon Web Services (AWS)
Cloud platform: Google Cloud Platform
Cloud platform: Azure – Microsoft Cloud Platform
Computing: AWS Elastic Cloud Compute (EC2)
Computing: Secure Shell, Secure File Transfer (SSH/SFTP)
Computing: AWS Identity and Access Management (IAM)
Computing: AWS CPU, GPU, Cluster
Standards: GovCloud
Pricing: On-demand, spot, reserved
Storage: AWS Simple Storage Service (S3)
Storage: AWS Elastic Block Store (EBS)
Storage: AWS Volumes, Snapshots, Amazon Machine Images (AMI)
BigData: Hadoop, MapReduce, DynamoDB, Serverless computing
Monitoring: CloudWatch
Marketplace: MolBioCloud

HIGHLIGHTS

Participants will be provided with step-by-step walk through instructions to setup, configure, secure, monitor and access computing resources rented in public cloud infrastructures.
Training provided by active NIH researchers
Cookbook style manual for all exercises
Direct, after training support through exclusive forum membership

Discussion forums: Education:Training in Cloud Computing For Biomedical Researchers @ NIH

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