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Quality engineering leaders mapping prevention automation observability and feedback across delivery
SQA, Test Automation & SDET · Course #042

Advanced Quality Engineering

Designed for applied learning, Advanced Quality Engineering shows how to design a socio-technical quality system that combines prevention, testability, automation, observability, risk and continuous improvement. It combines quality engineering beyond the test phase with product quality models, risk and customer outcomes, then extends the work through prevention. Learners assess a delivery system, map quality signals and bottlenecks, define engineering interventions, select meaningful measures and plan change across product, development, testing and operations. Participants examine both successful and weak examples, build reusable working habits and consider where human review is essential. The course frames quality engineering as an operating capability rather than a renamed test phase, with explicit ownership and feedback across the lifecycle.

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Overview

Designed for applied learning, Advanced Quality Engineering shows how to design a socio-technical quality system that combines prevention, testability, automation, observability, risk and continuous improvement. It combines quality engineering beyond the test phase with product quality models, risk and customer outcomes, then extends the work through prevention. Learners assess a delivery system, map quality signals and bottlenecks, define engineering interventions, select meaningful measures and plan change across product, development, testing and operations. Participants examine both successful and weak examples, build reusable working habits and consider where human review is essential. The course frames quality engineering as an operating capability rather than a renamed test phase, with explicit ownership and feedback across the lifecycle.

Course Highlights

Quality-engineering operating model

Prevention and testability

Layered automation strategy

Observability as quality evidence

Flow and risk measures

Modules & Curriculum

Quality engineering beyond the test phase

Product quality models, risk and customer outcomes

Prevention: requirements, design reviews and developer feedback

Testability architecture and controllable system state

Layered automation and the economics of feedback; environments, data and delivery-system constraints

Observability and production signals as quality evidence

Quality, flow and reliability measurement

Capability, roles and cross-functional ownership; transformation portfolio and improvement experiments

Learning Outcomes

  • Assess quality capability across product, engineering and operations.
  • Identify prevention and testability interventions earlier in delivery.
  • Design a layered evidence strategy combining static, dynamic and operational checks.
  • Select measures that connect quality, flow and customer impact.
  • Clarify shared ownership, decision rights and escalation paths.

Ready to Build Your Future-Ready Skills?

Build quality into the delivery system through evidence, testability and shared ownership.

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