Java: From Intermediate to Advanced
Advanced Java is largely the study of what happens when many things occur at once and when the machine runs out of patience. Concurrency bugs that appear only under load, garbage collection pauses that show up as tail latency, and the memory model rules that explain why a variable another thread wrote is not the variable you read — these are the problems that separate a competent Java developer from the one the team calls at 3am.
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What this path covers
Sample curriculum
An example outline for going from intermediate to advanced in Java. Your generated course adapts this to your experience, target level and available study time.
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Concurrency Foundations
Threads, the executor framework, synchronisation, and the Java memory model explained through the visibility bugs it exists to prevent.
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Concurrent Data Structures and Async
ConcurrentHashMap, atomic types, CompletableFuture for composing async work, and choosing lock-free approaches when contention is the bottleneck.
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Streams and Functional Java
The stream pipeline, lazy evaluation, collectors, Optional used correctly, and where a parallel stream helps against where it quietly costs you.
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Inside the JVM
Class loading, the JIT compiler and why benchmarks lie before warmup, heap layout, and reading a thread dump or heap dump when something goes wrong.
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Garbage Collection in Practice
Generational collection, comparing G1 and ZGC by workload, diagnosing pause-time problems, and the allocation patterns that cause them.
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Patterns and Architecture
The patterns that earn their place in modern Java, dependency injection without the framework magic, and structuring a codebase that stays modifiable at scale.
Java intermediate-to-advanced questions
How much concurrency do I need if a framework handles threads for me?
More than the framework suggests. Spring or a servlet container manages the thread pool, but shared mutable state in your own code is still yours to get right — and it fails under load rather than in tests.
Is knowing JVM internals practical or academic?
Practical the first time a service has unexplained latency spikes. Knowing that the JIT needs warmup, or that a pause is the collector rather than your code, turns a week of guessing into an afternoon.
Do modern streams replace loops entirely?
No, and treating them that way produces unreadable pipelines. The useful judgement — which this path emphasises — is knowing which reads more clearly and which allocates less in a hot path.
Where to go next
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