Cloud Systems & Infrastructure - Part 1
Gain expertise in cloud computing fundamentals, from virtualization and containers to cloud services from top providers like Amazon, Google, and Microsoft.
Gain expertise in cloud computing fundamentals, from virtualization and containers to cloud services from top providers like Amazon, Google, and Microsoft.
This comprehensive course provides a deep dive into modern cloud computing technologies and infrastructure. Students explore virtualization concepts, container technologies like Docker and Kubernetes, and various service models including IaaS, PaaS, and serverless architectures. The curriculum covers cloud economics, software-defined architectures, and detailed comparisons of offerings from major cloud providers. Students also gain practical knowledge of cloud storage solutions such as HDFS, Ceph, Swift, and Amazon S3. The course features both theoretical foundations and practical applications, preparing learners for designing and implementing effective cloud-based solutions for enterprise computing systems. As part of a two-course series, it lays essential groundwork for understanding how cloud computing is revolutionizing the IT landscape.
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What you'll learn
Understand cloud computing economics and business value propositions
Master virtualization concepts and container technologies like Docker and Kubernetes
Compare infrastructure offerings from major cloud providers (AWS, Google Cloud, Azure)
Implement and manage Platform as a Service (PaaS) and Metal as a Service (MaaS)
Utilize web middleware technologies including REST, RPC, JSON and load balancing
Design cloud storage solutions using systems like HDFS, Ceph, Swift and Amazon S3
Skills you'll gain
This course includes:
10.6 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course explores the foundations and applications of cloud computing technologies that are transforming enterprise IT. Students begin with cloud computing concepts, economics, and software-defined architectures before diving into virtualization and container technologies, including detailed explorations of Docker, Kubernetes, and the JVM. The course compares infrastructure offerings from Amazon, Google, and Microsoft, then progresses to higher-level services including PaaS, MBaaS, and serverless architectures. Web middleware technologies like RPC, REST, and JSON are covered as fundamental building blocks. The final sections focus on cloud storage solutions, examining big data systems (HDFS, Hive), object stores (Swift, S3), virtual block storage, and practical APIs like Dropbox. Throughout, students gain both theoretical knowledge and practical insights applicable to real-world cloud deployments.
Course Orientation
Module 1 · 1 Hours to complete
Introduction to Cloud Computing
Module 2 · 2 Hours to complete
Foundations: Containers, Virtual Machine, JVM
Module 3 · 4 Hours to complete
MAAS, PAAS, Web Services
Module 4 · 3 Hours to complete
Storage: Ceph, SWIFT, HDFS, NAAS, SAN, Zookeeper
Module 5 · 2 Hours to complete
Course Conclusion
Module 6 · 25 Minutes to complete
Fee Structure
Instructors
Data Engineering Manager at Capital One, Adjunct Research Assistant Professor of Computer Science
Dr. Reza Farivar is a Data Engineering Manager at Capital One and an Adjunct Research Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign. He earned his PhD in Electrical and Computer Engineering from the University of Illinois in 2012, where his research focused on cloud computing, big data platforms, and iterative algorithms. His expertise extends to customized algorithms for computational accelerators like GPUs.In addition to his academic role, Dr. Farivar co-founded Accelerated Genomics, a startup dedicated to developing GPU-accelerated big data algorithms in bioinformatics. He has also worked as a Senior Software Development Engineer at Yahoo, contributing to the development of their big data platforms and frameworks such as Apache Storm and Spark.Dr. Farivar teaches several courses on Coursera, including "Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure" and "Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud." His work in both industry and academia reflects a strong commitment to advancing the fields of cloud computing and big data, making significant contributions through research, teaching, and practical applications.
Professor of Computer Science
Roy H. Campbell is a distinguished Professor of Computer Science at the University of Illinois Urbana-Champaign, where he leads the System Software Research Group and serves as the Sohaib and Sara Abbasi Professor. He is also the director of the NSA Designated Center of Excellence and the Center for Advanced Research in Information Security (CARIS). With a Ph.D. obtained from Newcastle University in 1976, Campbell has made significant contributions to the fields of operating systems, cloud computing, and security.Throughout his career, Campbell has been actively involved in research focusing on cloud computing systems and applications, particularly in relation to security and distributed systems. He has received numerous accolades for his work, including the NSF CAREER award in 2005. His teaching includes popular courses such as "Cloud Computing Applications," which covers both cloud systems and big data applications. Additionally, he has played a pivotal role in shaping educational programs related to information assurance and security.Campbell's extensive experience includes serving as program co-chair for leading conferences in distributed systems and contributing to various initiatives aimed at enhancing cybersecurity education. His commitment to research and education continues to influence both students and professionals in the field of computer science.
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