Compute, storage, IAM, monitoring, networking, cost, and governance — the core building blocks of AWS, Azure, GCP, and DigitalOcean for builders new to multi-cloud.
This is the entry point to the DevOps track. You will learn the mental model for cloud computing, install and use the four major CLI tools, provision real resources on every cloud, and develop the judgment to pick the right platform for each workload. By the end you will be able to deploy a three-tier application on any cloud, monitor it, lock it down, and predict its monthly bill.
Built by Lakshya Kumar
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Sign in to applyComplete all modules, then submit the required number of capstone projects. Each must earn a passing rating from an admin reviewer.
Deploy a resilient three-tier application (load balancer, app servers, managed database) simultaneously on AWS, Azure, GCP, and DigitalOcean using only CLI tooling. Each deployment must use the cloud's native IAM, object storage, and VPC. Build a cost dashboard for each cloud and document a written recommendation: which cloud would you pick for production, and why? The recommendation must cite at least three concrete pricing or feature differences observed during your build.
Paste this into any AI chat. Fill in the bracketed parts with your context — you'll get back a straight answer on whether this belongs on your plate.
I'm considering 'Multi-Cloud Foundations' — the entry course in the DevOps track. Covers compute, storage, networking, IAM, monitoring, cost, and governance across AWS, Azure, GCP, and DigitalOcean. 10 modules × 10 tasks each. Context: 1. My current role: [e.g. "backend dev", "frontend dev who deploys via Vercel", "junior SRE", "founder", "QA"] 2. My cloud experience: [e.g. "none — never used AWS", "AWS only", "Heroku/Vercel only", "deployed once but it scared me"] 3. My goal: [e.g. "deploy my first multi-cloud app", "pass AWS Cloud Practitioner", "save my company money on cloud bills", "prepare for an SRE interview"]
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