Learning Path

Cloud-Based Scientific Computing

Fundamentals of Cloud Computing → Case Study: Genomics Workflow on Cloud

14 Knowledge Nodes · 14 Learning Steps · v0 Active

This learning path equips researchers and practitioners with the knowledge to effectively use cloud infrastructure for scientific computing. It covers core cloud concepts, major providers (AWS and GCP), designing scalable and cost-optimized architectures, and implementing scientific workflows on the cloud. The path emphasizes practical skills for deploying, managing, and optimizing cloud-based scientific applications.

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14 nodes22 edges3 relationships

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Learning Route

14 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

5 steps

Phase 2

Core Concepts

5 steps

Phase 3

Advanced Topics

4 steps