Cloud Computing and Modern Application Deployment

Most cloud learning leaves you fluent in one provider's console and helpless the moment someone asks *why*. Why this region? Why is the bill that high? What happens when that availability zone goes dark? This course is built around answering those questions out loud. You'll follow one small but real application — an API, a database, user file uploads, a background job — from "it needs to run in the cloud" all the way to a deployment you can defend in a review. Along the way the cloud stops being a sprawling catalog and becomes about a dozen building blocks: compute, storage, networking, managed databases, identity, a CDN, queues, observability. You learn each one as a decision — when to reach for it, and the trade-off it carries — not as a menu item to memorize. Then you actually deploy: containerize the app, define the infrastructure as code, push it through an automated pipeline, ship it with canary and rollback, and keep config and secrets out of your source with least-privilege access. The back half is judgment. You'll translate "nines" into real downtime, choose a disaster-recovery strategy by cost versus speed, find where a bill actually leaks (hint: data egress), estimate cost before you build, and pick a region by weighing latency, law, and price. It's provider-agnostic on purpose — taught with the real names from AWS, Azure, and Google Cloud so it transfers anywhere — and it deliberately never quotes a price or an SLA number as gospel, because those change. Whether you write the deployment yourself or sign off on someone else's, you'll leave able to make the call and explain it. </content>