Distributed Systems & Cloud Computing with Java
Distributed Systems & Cloud Computing with Java Coupon Code. Learn Distributed Java Applications at Scale, Parallel Programming, Distributed Computing & Cloud Software Architecture
Distributed Systems & Cloud Computing with Java
Distributed Systems & Cloud Computing with Java Course. Master the theory of Distributed Systems, Distributed Computing and modern Software Architecture, Gain the practical skills necessary to build Distributed Applications and Parallel Algorithms, focusing on Java based technologies, Deploy groups of distributed Java applications on the Cloud, Scale Distributed Databases to store petabytes of data, Build Highly Scalable and Fault Tolerant Distributed Systems
What you’ll learn
- Design and build massively Parallel Java Applications and Distributed Algorithms at Scale
- Create efficient Cloud-based Software Systems for Low Latency, Fault Tolerance, High Availability and Performance
- Master Software Architecture designed for the modern era of Cloud Computing
- Globally deploy Distributed Programs on the Cloud serving millions of users, billions of requests, & petabytes of data
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Who this course is for:
- Students who want to build modern, Distributed Systems at scale
- Students who want to acquire new practical skills in Distributed Computing & Cloud Technologies
- Students proficient in Java who want to take their Software Engineering skills to a new level
Instructors
Michael Pogrebinsky – Michael Pogrebinsky is an experienced software architect and engineer and an accredited Certified Professional for Software Architecture trainer by the International Software Architecture Qualification Board (iSAQB). As an official Udemy Instructor Partner, Michael has helped hundreds of thousands of engineers learn in-demand skills, get promoted, and land their dream job.
In his professional career, working for some of the top tech companies, like Google, Intel, Rubicon Project, DAQRI (Acquired by Snap Inc.), and others, Michael has led numerous flagship products. His expertise spans high-performance, scalable distributed systems, video/audio streaming, augmented reality, and more. Michael’s teaching philosophy emphasizes understanding the core fundamentals and developing the right way of thinking and good practices.
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