Leveraging Seqera Platform on AWS Batch for machine learning workflows – Part 2 of 2

This blog post is a step-by-step guide on how to leverage Seqera Platform and AWS Batch for executing machine learning workflows, as a follow-up to Part 1 which introduced Nextflow and Seqera Platform.

Specifically, the article covers:

• Prerequisites: AWS account, IAM understanding, Seqera Cloud account
• Creating an Amazon S3 bucket for data storage
• Setting up IAM policies and roles for Seqera access
• Creating a Seqera Cloud account and workspace
• Setting up an AWS Batch Compute Environment in Seqera
• Adding an ML pipeline to Seqera Launchpad
• Running the ML pipeline on AWS Batch using Seqera
• Conclusion on benefits of Seqera Platform + AWS for data analysis and ML