Role-Based Programme
RB1591

AI-Powered Quality Inspection & Testing

Intelligent Inspection Analytics, Defect Detection & Quality Control Automation

IMAGE REQUIRED
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across quality inspection, testing, defect detection, sampling, measurement analysis, and quality reporting.
  • Use AI to analyse inspection records, test results, defect data, specifications, acceptance criteria, checklists, and quality-control documentation.
  • Build repeatable AI-assisted workflows for inspection planning, test-result review, defect classification, exception handling, escalation, and reporting.
  • Apply AI to identify recurring defects, abnormal test results, inspection trends, process variation, and areas requiring deeper technical investigation.
  • Design responsible AI-enabled Quality Inspection & Testing workflows with appropriate controls for measurement accuracy, traceability, specification compliance, evidence integrity, and human oversight.

Tools covered

Generative AI AssistantsDocument AISpreadsheet & Data AnalysisQuality Inspection AnalyticsStatistical Quality ToolsVisual AIDefect Classification ToolsTest Data AnalysisReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Quality Inspectors
  • Quality Control Engineers
  • Quality Engineers
  • Quality Assurance Professionals
  • Testing & Inspection Professionals
  • Quality Control Managers
  • Inspection Engineers
  • Product Quality Professionals
  • Process Quality Professionals
  • Manufacturing Quality Professionals
  • Laboratory Quality Professionals
  • Test Engineers
  • Supplier Quality Professionals
  • Quality Analysts
  • Quality Inspection & Testing Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of quality inspection, testing, Quality Control, Quality Assurance, or manufacturing / service quality
  • Familiarity with specifications, inspection plans, acceptance criteria, test results, defects, or measurement data
  • Basic proficiency with spreadsheets, documents, numerical data, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, Visual AI, and workflow automation
  • Mapping AI opportunities across inspection, testing, defect analysis, and quality reporting
  • Understanding AI assistance versus qualified inspection and technical judgement
  • Recognising risks involving inaccurate measurements, weak evidence, and unvalidated AI outputs
Practical activities
  • Mapping an existing inspection and testing workflow
  • Comparing manual and AI-assisted quality inspection activities
  • Creating a Quality Inspection AI opportunity matrix

Scenarios

Inspection Failure to Quality Disposition

Inspection Plan → Measurement / Test → AI-Assisted Result Analysis → Defect Classification → Non-Conformity → Investigation → Disposition Review → Corrective Action → Closure

Participants use AI-assisted techniques to evaluate a simulated failed inspection, organise measurement evidence, classify defects, structure investigation questions, and prepare a controlled quality-disposition workflow.

Inspection Data to Continuous Quality Control Workflow

Inspection Results + Test Data + Defects + Rework + Measurement Records → AI Analysis → Recurring Patterns → Abnormal Results → Automated Alerts → Corrective Actions → Dashboard → Quality Review

Participants design an AI-enabled inspection and testing workflow that consolidates quality data, identifies recurring defects and abnormal measurements, improves escalation and action tracking, and strengthens management visibility while retaining final quality decisions with authorised professionals.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.