Global Learning for Operational Leaders
Classroom
12 sessions
Scroll for more
Online / Live
12 sessions
Scroll for more
Introduction
Course overview
Artificial intelligence is enabling new approaches to quality management, from computer vision inspection to analysing complaints and predicting defects before they occur. Quality professionals need to understand where AI adds value and how to control its risks.
This Aractech course explains AI and machine learning concepts for quality professionals, applications in inspection, process monitoring, root cause analysis, supplier quality and document management, generative AI for quality work, validation and governance of AI tools, and implementation planning.
Demonstrations and case studies make the content practical without requiring programming skills.
What you will achieve
Learning objectives
- Explain AI concepts relevant to quality management
- Identify AI use cases across quality processes
- Understand AI-based visual inspection
- Use generative AI responsibly for quality tasks
- Validate and govern AI tools in quality systems
- Plan AI implementation in quality functions
Who should attend
Target audience
- Quality managers and engineers
- Inspection supervisors
- Continuous improvement professionals
- Regulated industry quality staff
- Digital transformation teams
- Auditors
Methodology
Learning approach
- Concept sessions
- Demonstrations
- Case studies
- Use-case workshops
- Governance discussions
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
AI for Quality Professionals
- AI and machine learning basics
- Data in quality
- Opportunities
- Risks
- Coffee break
- Risks (continued)
- Market overview
- Exercise: Quality data inventory
Day 2
AI in Inspection
- Computer vision
- Defect detection
- Training data
- Accuracy and false rejects
- Coffee break
- Accuracy and false rejects (continued)
- Deployment
- Case study: AI visual inspection
Day 3
AI in Process and Supplier Quality
- Process monitoring
- Predictive quality
- Root cause analytics
- Supplier risk analytics
- Coffee break
- Supplier risk analytics (continued)
- Complaint analysis
- Exercise: Use-case scoring
Day 4
Generative AI for Quality Work
- Drafting procedures
- Summarising investigations
- Audit preparation
- Prompt practices
- Coffee break
- Prompt practices (continued)
- Data protection
- Lab: Generative AI tasks
Day 5
Validation and Implementation
- Validating AI tools
- Governance
- Regulatory expectations
- Coffee break
- Regulatory expectations (continued)
- Change management
- Roadmap
- Capstone: AI quality use-case proposal
FAQ
Frequently asked questions
What does Artificial Intelligence in Quality Management and Inspection (QP-025) cover?
This course covers Quality and Productivity through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 25 - 29 January 2027. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Quality managers and engineers, Inspection supervisors, Continuous improvement professionals
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Amsterdam, London, Istanbul, Vienna, Barcelona, Paris, Frankfurt.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
Quick request
Send quick request
Send a fast enquiry about this course and the academy team will get back to you.
Get a quotation
Request a formal quotation
Choose an available date and venue, add your participants, and we will email a formal quotation for Artificial Intelligence in Quality Management and Inspection to your business address.