AWS for Genomics: Cloud Architecture & Bioinformatics Workflows

This comprehensive course empowers life science professionals to transition from local computing to cloud-native genomic analysis on Amazon Web Services (AWS). You will learn to design secure, scalable cloud architectures specifically optimized for high-throughput sequencing (HTS) and large-scale multi-omics datasets. The curriculum focuses on automating bioinformatics workflows using AWS Batch, S3 for data storage, and AWS Step Functions for orchestration. Beyond infrastructure, you will integrate artificial intelligence and machine learning services—such as Amazon SageMaker—to enhance variant calling, genomic data mining, and predictive modeling. Participants will gain practical experience in cost-optimization strategies, high-performance computing (HPC) configuration, and deploying containerized applications with Docker and Nextflow. By the end of this program, you will be equipped to architect resilient, reproducible, and automated cloud environments that drastically reduce the time from raw data to actionable biological discovery.