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Core
Concurrency and Thread Safety
When multiple threads touch shared mutable state, interleavings cause race conditions: lost updates, torn reads, corrupted data. Thread safety means correctness under any interleaving. Locks/mutexes enforce mutual exclusion (pessimistic); optimistic concurrency checks for conflicts at commit and retries (compare-and-swap, version columns). Atomic operations avoid locks for simple updates. Deadlock arises when locks are acquired in conflicting orders. Applied-AI interviews probe it because inference servers, batching queues, and shared caches are all concurrent, and the classic double-increment bug still shows up in production.
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COURSES COVERING THIS TOPIC
No lesson covers this one directly yet. These teach the surrounding topic from the beginning.
Applied AI Engineering·The interviewPremium14mDriving the design conversationA design round is a conversation you are expected to lead, not a question you answer. This lesson is the shape that works, the four moments that decide the outcome, and the two classic ways strong candidates lose one.Applied AI Engineering·The interviewPremium12mTurning this course into a study planA concrete four-week plan mapping the seven modules onto the question bank, plus what to do differently if your interview is next week rather than next month.
RELATED CONCEPTS
PRACTICE THIS IN REAL QUESTIONS
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COMPANIES THAT ASSUME THIS
