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Java Concurrency Mastery: Threads, Pools, Virtual Threads
From race conditions to virtual threads: write correct, fast, scalable concurrent Java with hands-on examples
5.09 reviews323 learners
- Intermediate
- 3h 22m video
- 36 lectures
- English
- Updated 2026
Taught by ProgLang MainSt.
- 3h 22m of on-demand video
- 36 lectures across 5 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- English audio
Curriculum
5 sections36 lectures3h 22m total
- The End of the Free Lunch: Why Concurrency Went Mainstream5:46
- Creating Threads: Thread, Runnable, and Lambdas6:33
- The Race Condition, Caught in the Act7:36
- synchronized: The Lock You Already Have6:43
- volatile and the Visibility Problem7:20
- Atomic Variables and Lock-Free Counters6:12
- Concurrency vs Parallelism: The Distinction People Keep Confusing3:59
- Explicit Locks: ReentrantLock and tryLock4:42
- Condition Variables: await and signal4:37
- CountDownLatch: Waiting for a Group to Finish5:18
- Semaphore: Limiting Concurrent Access4:39
- CyclicBarrier and Phased Work5:46
- Shared Mutable State: The Root of All Concurrency Pain6:24
- From Raw Threads to Executors: Why Pools Win4:35
- Callable and Future: Getting Results Back6:08
- Choosing a Pool: Fixed, Cached, and Scheduled5:29
- Shutting Down Cleanly and Handling Task Failure6:43
- Sizing Pools and Avoiding Thread Starvation6:23
- The Java Memory Model in Plain English4:34
- Your First CompletableFuture: supplyAsync and thenApply6:53
- Chaining Dependent and Independent Work: thenCompose vs thenCombine5:00
- Fan-Out and Fan-In: allOf and anyOf6:35
- Async Error Handling: exceptionally, handle, and whenComplete6:50
- Custom Executors and a Realistic Async Pipeline5:42
- The Cost of Coordination: Amdahl, Contention, and Overhead3:53
- ConcurrentHashMap and Thread-Safe Maps5:29
- BlockingQueue and the Producer-Consumer Pattern6:29
- Parallel Streams: Easy Data Parallelism, with Caveats7:21
- The Fork/Join Framework and Work Stealing5:58
- Virtual Threads: Concurrency for the Loom Era6:18
- The Java Concurrency Toolbox: A Map of What's Ahead5:47
- Happens-Before: The Rule That Makes Concurrency Sane4:12
- Deadlock, Livelock, and Starvation3:50
- False Sharing and Mechanical Sympathy3:55
- Debugging Concurrency: Heisenbugs and the Tools That Catch Them4:48
- The Future: Loom, Structured Concurrency, and Beyond4:31
About this course
This course contains the use of artificial intelligence. Java concurrency is the skill that separates developers who can use modern multicore hardware from those who quietly leave most of their CPU idle. This course teaches it the way it actually clicks: by weaving short conceptual lectures together with hands-on code you can run yourself. Each coding section opens with a single plain-English concept lecture that frames the problem, and then every idea after it is something you build, run, and watch behave on real…
Before you start
- Solid working knowledge of core Java: classes, methods, generics, and collections
- Comfort writing, compiling, and running Java programs (JDK installed)
- Familiarity with using a terminal or command line and an IDE
- A computer running Windows, macOS, or Linux with JDK 17 or newer
- No prior experience with threads or concurrency required
Who it’s for
- Java developers who want to write correct, fast, and scalable concurrent code
- Backend engineers building multithreaded services and high-throughput systems
- Developers preparing for interviews on threads, the memory model, and executors
- Engineers modernizing toward CompletableFuture, parallel streams, and virtual threads
- Self-taught Java programmers who want to stop fearing race conditions and deadlocks
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