Lesson 1
What flakiness actually means
A flaky test produces inconsistent outcomes without a meaningful product change, usually because the test or environment is nondeterministic.
All learning tracks
Modern Test AutomationPractical 75 min
Flaky Test Engineering
Diagnose instability using timing, state, environment and data evidence instead of hiding failures with retries.
ReliabilityDebuggingCI
Learning outcomes
Classify flake causes
Use evidence to diagnose failures
Know when retries are appropriate
Guided lessons
Learn the engineering thinking
Lesson 2
Timing and synchronization
Replace sleeps with observable conditions and understand eventual consistency where it genuinely exists.
Lesson 3
Shared-state failures
Parallel tests often fail because they share accounts, records, queues or environment state.
Lesson 4
Retries as evidence, not a cure
Retries can help classify transient problems but should not make unreliable tests appear healthy.
Lesson 5
Flake dashboards
Track repeated offenders and failure signatures so teams fix systemic instability rather than triage the same noise repeatedly.
Hands-on practice
Do something with what you learned
Do not just tick these mentally. Write the query, create the test matrix, refactor the code, or document the decision. Practical evidence is the point.