Master the essential concepts and hands-on skills needed to understand cloud computing from multiple perspectives. This comprehensive course takes you from cloud computing history and definitions through advanced database technologies, providing both theoretical foundations and practical implementation experience.

Cloud Computing Fundamentals
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Cloud Computing Fundamentals
This course is part of Cloud Computing for Data Science Specialization

Instructor: Dmitriy Babichenko
Included with
Recommended experience
What you'll learn
Configure and deploy virtual machines to simulate cloud environments and understand IaaS, PaaS, and SaaS service models.
Differentiate between databases, data warehouses, and data lakes while applying Star and Snowflake schemas for optimal performance.
Compare MySQL, MongoDB, and Neo4j database technologies based on ACID and BASE properties to select optimal solutions for use cases.
Apply cloud computing principles through hands-on projects using Python, GitHub, and virtualization tools in real-world scenarios.
Skills you'll gain
Details to know

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February 2026
14 assignments
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Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 4 modules in this course
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Build toward a degree
This course is part of the following degree program(s) offered by University of Pittsburgh. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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