Michael Pogrebinsky | Software Architecture, System Design, Java Expert, Top Developer Academy LLC

    Distributed Systems & Cloud Computing with Java

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    Software Engineering · Online Course

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    Mastering distributed systems and cloud computing with Java is a critical milestone for modern software engineers aiming to build enterprise-grade applications. Led by industry expert Michael Pogrebinsky, this course provides a deep dive into the architecture and implementation of highly scalable, parallel Java systems. Designed for developers of all levels, the curriculum bridges the gap between theoretical distributed algorithms and practical cloud deployments. You will explore core concepts such as low-latency communication, fault tolerance, high availability, load balancing, and horizontal scaling. Throughout the lectures, you will build actual distributed programs, learning how to coordinate multiple nodes, handle network partitions, and design robust software architectures that survive real-world failures. Whether you are aiming to transition into a system architect role or looking to optimize your existing Java microservices for cloud environments like Amazon Web Services (AWS) or Google Cloud Platform (GCP), this training delivers the practical skills needed. By the end of this course, you will confidently design and deploy distributed systems capable of handling millions of concurrent requests and processing petabytes of enterprise data efficiently.

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    Michael Pogrebinsky | Software Architecture, System Design, Java Expert, Top Developer Academy LLC

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    Michael Pogrebinsky | Software Architecture, System Design, Java Expert, Top Developer Academy LLC
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    Michael Pogrebinsky is a veteran software engineer and system architect specializing in the design and implementation of highly scalable, distributed enterprise systems. As the founder of Top Developer Academy LLC, Michael has dedicated his career to demystifying complex technical concepts for developers worldwide. With extensive professional experience in Java ecosystem engineering, microservices, and cloud infrastructure, he brings a highly practical, engineering-first perspective to education. Michael's teaching philosophy is built on bridging the gap between theoretical computer science and real-world industrial application. Instead of just lecturing on abstract patterns, his courses—such as his flagship programs on cloud computing patterns, microservices, and…Show more

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    Program Overview

    Online Course

    Learning format

    Software Engineering

    Subcategory

    $69.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Design and implement highly scalable, parallel Java applications using advanced multi-threading and distributed computing principles.
    • Architect fault-tolerant and highly available cloud software systems that automatically recover from node failures and network partitions.
    • Master distributed coordination, leader election, and service discovery mechanisms using modern tools and algorithms.
    • Optimize cloud infrastructures for low-latency performance to process millions of concurrent user requests and petabytes of data.
    • Build, package, and globally deploy distributed systems on major cloud platforms like AWS or Google Cloud.
    • Apply key software architecture patterns specifically designed for modern cloud-native environments and microservices.

    Best For

    • Java developers looking to advance into senior software engineering or system architecture roles.
    • Engineers transitioning from monolithic applications to cloud-native microservices architecture.
    • Back-end developers who need to design systems for high availability and horizontal scalability.
    • Software professionals wanting to bridge the gap between Java multi-threading and distributed cloud deployments.

    Not For

    • Absolute beginners who have not yet mastered core Java programming and basic multi-threading concepts.
    • Developers looking for a high-level overview of cloud platforms without writing complex, distributed code.
    • Students seeking a theoretical course on distributed algorithms that does not focus on practical Java implementation.

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