Mastering AWS: Genomics Using Cloud Computing
Don’t memorize biology — master its language with scalable cloud infrastructures. Deploy AI-driven bioinformatics pipelines and handle massive next-generation sequencing datasets using Amazon Web Services.
- 4.0/5
- English
- Updated Aug 2026
About this course
Unlock the massive scale of modern big data biology by taking your workflows to the cloud. "Mastering AWS: Genomics Using Cloud Computing" is a free international webinar by Dr.Omics Edu built to future-proof your dry-lab credentials. As shown in 23.png, this technical masterclass teaches you to stop memorizing biology and instead master its true, computational language. Throughout this intensive course, participants will dive deep into integrating Amazon Web Services (AWS) with automated next-generation sequencing (NGS) data pipelines. You will explore how artificial intelligence models and cloud-native machine learning tools accelerate variant calling and multi-omics analysis. Guided by live expert mentorship, you will learn to provision high-performance computing clusters and set up secure cloud buckets for massive datasets. We will break down the deployment of cloud-based workflow orchestrators to automate data curation smoothly. By moving your computational biology skills into the cloud ecosystem, you gain the high-demand, enterprise-level technical expertise required by leading global pharmaceutical and biotechnology institutions.
What you will learn
Skills you will gain
Certification
Available
Issued by Dr. OmicsCourse curriculum
1 moduleWhat you need to start
- A foundational understanding of general genomics concepts, sequence analysis, or basic command-line navigation.
- No prior cloud architecture or advanced AWS experience is necessary; all setup procedures will be demonstrated from scratch.
Who this course is for
- Bioinformaticians & Computational Biologists: Professionals wanting to scale their local scripting skills into multi-sample cloud architectures.
- Life Science Researchers & Scholars: Wet-lab or dry-lab scientists aiming to handle massive public genomic datasets without hardware limitations.
- IT & DevOps Engineers: Cloud professionals looking to specialize in biotechnology data infrastructure and clinical genomics pipelines.