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Free live workshop · August 2026 · All levels

AWS for Genomics: Cloud Architecture & Bioinformatics Workflows

Stop waiting on a single server. Architect scalable, reproducible AWS pipelines that take high-throughput sequencing from raw data to discovery — and pay only for what you run.

Free to attend · Limited live seats
August 2026 All levels · Hands-on labs Live on Zoom
50,000+ learners trained
★★★★★ 4.9/5
Backed by DST · Illumina · AWS
Your pipeline · on AWS
ComputeStorageOrchestration
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Attending is free

Free to join. Add what you need afterwards.

The live workshop costs nothing — the course fee is ₹0. The certificate and recording are an add-on from ₹599, and the tiers below build on each other if you want the materials or a review of your own architecture.

Attend live
Free

No charges to attend the masterclass.

  • Live hands-on workshop
  • All five topics, with live AWS labs
  • Live Q&A with the trainer
Reserve free seat
Get certificate + recording
₹599

Proof of completion, plus the full replay.

  • Everything in Free
  • Certificate of completion
  • Session recording
Certificate + Recording
Most picked + Study material & dataset
₹999

Everything you need to rebuild it on your own account.

  • Everything in ₹599
  • Full study material
  • Reference pipeline & sample dataset
Get the bundle
+ Project template & 1:1
₹1,699

For anyone architecting this for a real lab or team.

  • Everything in ₹999
  • Project template
  • One 1:1 review of your cloud architecture
Book with review

Each tier includes Everything in the one before it. Add-ons are entirely optional — you can attend the full class without paying anything. See what we cover ↓

The curriculum

Five topics, from first login to an automated pipeline

Built for life-science researchers moving off a local machine — we start at core cloud concepts and finish with orchestrated, containerised genomics workflows.

01

Introduction to AWS

How the cloud actually works, the console and CLI, regions and availability zones, and setting up a free-tier account you can practise in safely.

Console · CLI · Free tier
02

Compute, storage & databases

EC2 instance types for heavy genomic processing, S3 for sequencing data at scale, storage classes, and when a database beats a flat file.

EC2 · S3 · EBS · RDS
03

Networking & security

VPCs, IAM roles and least-privilege access — how to keep patient and proprietary sequencing data properly locked down.

VPC · IAM · Security groups
04

Deployment strategies

Containerise tools with Docker, run them on AWS Batch, and use serverless and spot instances to cut cost without losing reproducibility.

Docker · AWS Batch · Lambda
05

Managing bioinformatics workflows

Orchestrate end-to-end pipelines with Nextflow and Step Functions, monitor runs, and bring AI/ML into variant interpretation with SageMaker.

Nextflow · Step Functions · SageMaker
Who it's for

For researchers whose data outgrew their laptop

If your analyses are queued for days, or your results can't be reproduced on someone else's machine, this workshop is aimed at you.

Bioinformaticians & research scientists

You want to scale your analysis beyond one server, without babysitting jobs or losing a week to infrastructure.

IT & infrastructure staff in biotech/pharma

You manage genomics infrastructure and need architectures that are secure, auditable, and predictable in cost.

Computational biology students & post-docs

You want cloud-native skills on your CV — and pipelines a reviewer can actually reproduce.

Data scientists & engineers

You're bringing AI/ML to life-science datasets and need the genomics context to go with the tooling.

What you'll learn

Architect it, automate it, afford it

  • Deploy and manage scalable cloud infrastructure built for heavy-duty genomic processing.
  • Use serverless and containers so every run is reproducible and reliable.
  • Apply AWS AI/ML services to speed up variant interpretation and pattern discovery.
  • Design cost-effective storage strategies for massive sequencing datasets.

Professional Certification in AWS for Genomics & Bio-AI

Complete all modules and the capstone project to earn the credential — issued by DrOmics.

Who's behind this

Taught by a working genomics lab — not a content channel

DrOmics is a molecular diagnostics and bioinformatics lab first. The training exists because we kept meeting researchers stuck on data they couldn't analyze.

Dr. Deepshikha Satish, PhD — Founder & CEO, DrOmics Labs
Founder

Dr. Deepshikha Satish, PhD

Founder & CEO · DrOmics Labs

DrOmics was founded by a translational bioinformatician who earned her PhD at the International Centre for Genetic Engineering and Biotechnology (ICGEB) and worked as a senior bioinformatics scientist before starting the lab. She built DrOmics around a gap she saw repeatedly: capable life-science researchers sitting on sequencing data with no practical way to analyze it.

That's the gap this masterclass is designed to close. The session itself is run by the DrOmics bioinformatics training team.

  • PhD, Translational Bioinformatics · ICGEB
  • 10+ international peer-reviewed publications
  • Woman Entrepreneur of the Year, 2024
  • CSIR-NET JRF qualified
Dr. Deepshikha on LinkedIn ↗
Research grants & funding from
DST AWS Illumina Pfizer–IIT Delhi
Skill-development collaborations
LSSSDC APSCHE
50,000+ students trained to date
What learners say

From "the cluster is busy" to results overnight

★★★★★

"We were queueing whole-genome runs for days. Fanning the same pipeline out on Batch cut it to a few hours — and I finally understand what we're paying for."

RN
Rohit N.Bioinformatician · Genomics core
★★★★★

"The Docker and Nextflow modules fixed our reproducibility problem. A collaborator ran our workflow and got identical output — first time that's ever happened."

MJ
Meera J.Post-doc · Computational Biology
★★★★★

"I came for the pipelines and left with the cost side too. Storage classes and spot instances took our monthly bill down by more than half."

AS
Arjun S.Infrastructure Lead · Biotech
Questions

Good things to know

Do I need an AWS account?+

Yes — you'll need a personal AWS account for the hands-on exercises. We walk you through setting up a free-tier environment before the session, so you won't be caught out by charges.

Is previous cloud experience required?+

No. The workshop is designed to take you from core concepts through to advanced architecture, so complete beginners on AWS are welcome.

Will we use container technology?+

Absolutely. Containerisation with Docker and Singularity is a core part of the reproducible-pipeline modules, and we deploy containers on AWS Batch during the labs.

What do I need to know beforehand?+

Foundational knowledge of NGS data types and file formats (FASTQ, BAM, VCF), basic Linux/Unix command line, and working knowledge of one scripting language — Python or R.

Is it really free?+

Yes — the course fee is ₹0 and attending the live workshop costs nothing. The certificate and recording are ₹599, study material and dataset ₹999, and the project template with a 1:1 review ₹1,699. None are required to attend.

What certificate do I get?+

Participants who complete all modules and pass the final capstone project earn the Professional Certification in AWS for Genomics & Bio-AI, issued by DrOmics — validating your expertise in architecting AI-integrated cloud solutions for life science research.

Free · Live · Hands-on labs

Build your first genomics pipeline on AWS

Join the free live workshop and leave with a working cloud architecture, an automated pipeline, and the cost know-how to run it for real. Certificate and materials are optional add-ons.

August 2026 · Free to attend · Limited seats