AWS for Biologists — No Coding, No Jargon, Just Science [2/6]

Welcome back to the mini-series that brings cloud computing down to earth for biologists, researchers, and curious minds alike! In Part 2, we zoom in on the essential AWS tools every biologist should know — including S3, EC2, Lambda, Batch, Amazon Omics, and SageMaker. You’ll learn: ✅ What AWS services are actually useful for life sciences ✅ How Amazon HealthOmics simplifies omics pipelines ✅ The difference between EC2, Lambda, and Batch (explained with real-world lab analogies!) ✅ Why SageMaker is a game-changer for biology + machine learning Whether you're doing RNA-seq, variant calling, or exploring AI in biology, this video will give you the essential roadmap — without the tech overwhelm. 🔖 Chapters 0:00 – Intro 0:23 – Recap of Part 1 2:05 – What AWS? 5:43 – AWS Services 10:17 – AWS account setup walkthrough 11:34 – What is Amazon HealthOmics? 14:19 – What we learned so far 📌 FREE hands-on walkthrough video here → [   • AWS for beginners  ] It shows you how to: • Create an AWS account • Set up an IAM user securely • Add billing alerts • Get access to the AWS Console 📌 Next up: Learn SageMaker for biology in Part 3 → [Coming soon — subscribe to be notified!] 🧠 Takeaway: AWS gives you the digital freezer (S3), workbench (EC2), lab assistant (Lambda), scheduler (Batch), and even a sequencing core (HealthOmics). All in your browser.