Cloud Computing Concepts: Part 2
Master advanced distributed computing concepts and algorithms for cloud systems. Build hands-on C++ implementation skills.
Master advanced distributed computing concepts and algorithms for cloud systems. Build hands-on C++ implementation skills.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Cloud Computing Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Master classical distributed algorithms and their implementation
Understand cloud system architecture and design principles
Implement concurrency control and replication strategies
Develop distributed system security mechanisms
Analyze and prevent real-world system failures
Skills you'll gain
This course includes:
9.1 Hours PreRecorded video
1 quiz, 6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course covers fundamental distributed computing concepts for cloud systems. Topics include classical distributed algorithms, leader election, mutual exclusion, concurrency control, replication, stream processing, graph processing, and system security. Students implement concepts using C++ through hands-on programming assignments. The course features case studies of real datacenter outages and interviews with industry experts, providing both theoretical knowledge and practical insights into cloud computing systems.
Week 1: Course Orientation and Classical Distributed Algorithms
Module 1 · 4 Hours to complete
Week 2: Concurrency and Replication Control
Module 2 · 2 Hours to complete
Week 3: Emerging Paradigms
Module 3 · 2 Hours to complete
Week 4: Classical Systems
Module 4 · 2 Hours to complete
Week 5: Real-Life Behaviors
Module 5 · 6 Hours to complete
Fee Structure
Instructor
Professor of Computer Science
Indranil Gupta, commonly known as Indy, is a Professor of Computer Science at the University of Illinois Urbana-Champaign, where he leads the Distributed Protocols Research Group. With a PhD from Cornell University obtained in 2004 and a bachelor's degree from the Indian Institute of Technology Madras in 1998, he has developed a robust expertise in large-scale distributed systems, including datacenters and cloud computing infrastructures. His recent industry experience includes a year at Google and internships at Microsoft Research and IBM Research.Professor Gupta's research focuses on enhancing the programmability and dynamism of computing and network infrastructures through technologies such as virtualization and software-defined networking. He has served as program co-chair for several leading conferences in distributed systems and has received multiple accolades, including the NSF CAREER award in 2005. In addition to his research contributions, he teaches popular courses on Coursera, such as "Cloud Computing Concepts," which attract tens of thousands of students globally. His commitment to education is reflected in his recognition as an excellent instructor by his students. Through his work, Indranil Gupta continues to influence both academia and industry by addressing real-world challenges in distributed systems.
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4.6 course rating
317 ratings
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