AWS for Biologists — No Coding, No Jargon, Just Science [2/6]
Автор: AiBioSpark
Загружено: 2025-06-16
Просмотров: 71
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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.
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