edX
edXIntroduction to Cloud Computing
412 studentsBEGINNEREnglish
Korshub's take
Build Cloud Applications from Day One
Instead of learning cloud concepts in isolation, this course has you ship actual projects from week one: a static website, a containerized application, a serverless data pipeline, and a machine learning service. Each project forces you to confront real design tradeoffs.
You'll progress from simple serverless hosting through containerization with Kubernetes to full ML engineering with AutoML and edge deployments. The hands-on approach surfaces the practical questions that tutorials gloss over: when should you containerize? Where do microservices actually pay off? How do you debug a cloud pipeline?
By the end, you'll own a portfolio of working systems—and the judgment to know which architecture fits which problem.
About this course
Build foundational cloud computing infrastructure, including serverless websites and virtual machines, using Agile development techniques. ,Design cloud-native systems with virtual machines, containers, and microservices using technologies like Flask and Kubernetes. ,Apply data engineering to real-world projects using cloud computing concepts, software development best practices, and cloud-native technologies. ,Develop machine learning engineering applications using AutoML, MLOps, Edge Machine Learning, and AI APIs. ,Create a portfolio of cloud-native solutions, including a statically hosted website, a containerized Flask app, a serverless data engineering pipeline, and a Flask web app serving ML predictions.
Price
$2,892
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