Course
Live
Intermediate
Dr. Omics
Specialised Course of AWS for Genomics: Cloud Architecture & Bioinformatics Workflows.
Master AWS cloud architecture and bioinformatics workflows to efficiently manage, process, and analyze large-scale genomic data in the cloud.
- 5.0/5
- English
- Updated Sep 2026
About this course
Build practical cloud computing skills for modern genomics with our Specialised Course of AWS for Genomics: Cloud Architecture & Bioinformatics Workflows. This course introduces AWS cloud concepts and their application to bioinformatics and genomic data analysis. Participants will learn how to work with cloud storage, computing resources, data transfer, workflow execution, and scalable analysis environments. Through hands-on exercises, learners will understand how genomic datasets and bioinformatics pipelines can be deployed, processed, and managed efficiently using AWS cloud infrastructure.
What you will learn
Understand fundamental AWS cloud concepts and architecture.
Learn how cloud computing supports modern genomics and bioinformatics.
Set up and manage cloud-based computing environments.
Store, organize, and manage genomic datasets in the cloud.
Run bioinformatics tools and workflows using AWS resources.
Understand scalable and reproducible genomic data analysis.
Apply cloud-based approaches to NGS and large-scale genomic datasets.
Develop an understanding of cost, security, and resource management in AWS.
Build a foundation for deploying bioinformatics workflows in the cloud.
Skills you will gain
AWS fundamentals
cloud computing
AWS architecture
cloud storage
cloud-based computing
genomic data management
NGS data processing
bioinformatics workflows
workflow deployment
scalable data analysis
cloud resource management
data transfer
cloud security fundamentals
reproducible bioinformatics
computational genomics
Certification
Available
Issued by Dr. OmicsCourse curriculum
1 moduleWhat you need to start
- Basic computer and internet skills.
- Basic understanding of bioinformatics or genomics.
- Familiarity with NGS concepts is helpful but not mandatory.
- Basic Linux/command-line knowledge is an advantage.
- No prior AWS experience required.
Who this course is for
- B.Sc./M.Sc. students in Bioinformatics, Biotechnology, Microbiology, Genetics, and Life Sciences.
- Bioinformatics and computational biology students.
- PhD scholars and researchers working with genomic or NGS data.
- Bioinformatics professionals interested in cloud computing.
- Data analysts and computational researchers entering genomics.
- Beginners interested in AWS applications in bioinformatics.
