Java Performance & Concurrency: Threads, Streams, and Beyond

Learn the theory behind advanced concurrency, memory model, thread pools, and cutting-edge virtual threads

What you’ll learn
Understand Java’s threading model, synchronization, and classic concurrency pitfalls
Analyze the thread-per-request model and its impact on scalability and performance
Master the Java Memory Model, happens-before, and safe publication rules
Use modern concurrency utilities: locks, atomics, synchronizers, and collections
Apply thread pools, executors, Fork/Join, and work-stealing for parallelism
Leverage parallel streams and functional concurrency for data processing
Compose asynchronous workflows with CompletableFuture and handle exceptions
Understand reactive streams, Flow API, and backpressure for robust pipelines
Explore Project Loom, virtual threads, and structured concurrency in Java
Distinguish concurrency vs. parallelism, and tune for latency and throughput

Requirements
Basic understanding of Java syntax, classes, and object-oriented programming
Familiarity with fundamental programming concepts like variables and methods
No prior experience with advanced concurrency or parallel programming required

Description
This course contains the use of artificial intelligence.Are you ready to truly understand how Java handles concurrency, parallelism, and performance at every level? This comprehensive course is designed for developers and engineers who want to master the evolution of Java’s concurrency model—from the earliest days of threads and synchronized blocks to the cutting edge of virtual threads and structured concurrency.What You’ll Learn1. The Foundations of Java ConcurrencyGrasp the origins of Java’s threading model, including the role of the Thread class and the synchronized keyword.Understand the classic pitfalls: race conditions, deadlocks, and contention, and learn proven strategies to mitigate them.2. The Thread-per-Request Era and Its ChallengesDiscover why early Java applications struggled with scalability and responsiveness.Analyze the costs of thread lifecycle management, resource exhaustion, and debugging complexity in high-concurrency environments.3. The Java Memory Model (JMM) and JSR-133Learn how the JMM defines visibility and ordering guarantees, and why “happens-before” relationships are critical for safe concurrent programming.Explore the semantics of volatile, final, and synchronization, and how they ensure correctness across JVM implementations.4. Modern Concurrency UtilitiesDive into java. util. concurrent: locks, atomic variables, synchronizers, and concurrent collections.See how these tools improve safety, scalability, and maintainability over low-level primitives.5. Executors, Thread Pools, and Fork/JoinMaster the Executor framework, thread pool sizing, task queues, and rejection policies.Understand the Fork/Join framework and work-stealing for divide-and-conquer parallelism.6. Parallel Streams and Functional ConcurrencyLearn how parallel streams leverage the ForkJoinPool for data-parallel operations.Recognize the importance of statelessness, associativity, and avoiding shared mutable state for safe parallel processing.7. Asynchronous Programming with CompletableFutureCompose nonblocking, asynchronous workflows using CompletableFuture.Handle exceptions, combine futures, and manage threading for responsive, scalable applications.8. Reactive Streams and BackpressureUnderstand the Flow API and the mechanics of backpressure for resilient, event-driven systems.Explore the Publisher-Subscriber-Subscription model and its impact on throughput and stability.9. Project Loom: Virtual Threads and Structured ConcurrencyDiscover how virtual threads revolutionize thread-per-task models, making massive concurrency affordable and easy to reason about.Learn structured concurrency principles for predictable task lifecycles and cancellation.10. Core Concepts and Mental ModelsDistinguish between concurrency and parallelism, and understand their implications for system design.Analyze the trade-offs between latency and throughput, and how to tune for your application’s needs.11. Advanced TopicsDelve into granularity, synchronization costs, cache coherence, false sharing, memory subsystems, NUMA, OS scheduling, and JVM internals.Learn how these low-level details impact real-world performance and scalability.Why Take This Course?Depth and Breadth: This course covers the entire spectrum of Java concurrency, from the basics to the most advanced topics, with clear explanations and real-world relevance.Modern and Practical: Stay up to date with the latest Java features, including Project Loom and structured concurrency, and understand how to apply them in your own projects.No Hype, Just Insight: Every topic is grounded in the actual evolution of Java’s concurrency model—no filler, no exaggerated claims, and no promises of hands-on labs that aren’t included.Whether you’re a seasoned Java developer or just starting to explore concurrent programming, this course will equip you with the knowledge and confidence to design, analyze, and optimize concurrent Java applications for today’s multi-core, cloud-native world.

Who this course is for
Java developers seeking to master modern concurrency and parallelism techniques
Software engineers aiming to build scalable, robust, and high-performance systems

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