Course Information

  • 1 day

  •  

    11 June

    9 October

Investment

The investment for the training is €995 per participant, excluding VAT.

Included are the training day, lunch and refreshments.  

014

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AI for Reliability

From chronic failures to breakthrough product reliability: enhance your reliability practice with AI: more versatile analyses, deeper insights, and full engineering rigor.

The Business Challenge

Reliability engineers face increasing pressure to predict, prevent, and prove reliability performance under tight schedules. FMEA preparation, adding information from standards to your reliability requirements, and competitive benchmarking take time and demand precision. AI tools like Copilot and ChatGPT are powerful, but without a structured approach they can add noise instead of insight. How do you harness AI to accelerate reliability work while maintaining analytical integrity?

Business‑First Approach

We focus on practical templates and real product scenarios grounded in reliability engineering and statistical thinking. You will apply AI in a disciplined way that complements – not replaces – your expertise, enabling immediate impact in your daily work.

With this training you’ll learn:

    • Accelerate FMEA preparation and updates with structured, AI‑assisted content (get the experience from previous FMEAs in fast).
    • Automate reliability analyses: Weibull fits, trend detection, and clear visuals for decision‑making.
    • Create consistent, auditable AI workflows aligned to engineering standards.
    • Deliver more impact with the same resources by focusing human time on expert judgment, not busywork.

Teaching professionals.

Tjerja Geerts MBA

Tjerja Geerts MBA

Competence Lead AI & Data Analytics
With deep expertise in AI strategy, data analytics, automation and compliance, Tjerja guides leadership and cross-functional teams to turn ambition into governed, high-value AI solutions. He facilitates structured ideation and innovation to uncover and prioritize use cases, align them with business strategy and regulatory requirements, and shape AI roadmaps and AI-powered concepts that create measurable value. As a strategist and AI innovation facilitator, he helps your teams explore, prototype, and operationalize AI responsibly across your organization.
Dr. Ir. Coen Smits

Dr. Ir. Coen Smits

Scientific Director Reliability
He has been with Holland Innovative for over 10 years as a reliability specialist with assignments in many high tech and automotive organizations. He holds a Ph.D. in Applied Physics from the Eindhoven University of Technology.

AI for Reliability

Outcome

After completing this training, you’ll be able to:

  • Apply AI effectively in real Reliability projects
  • Automate time-consuming tasks
  • Perform better analysis and get actionable insights in minutes
  • Develop a strategy to integrate AI into your Reliabitilty project
AI for Reliability Engineering

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Practical information.

For whom
    • Reliability engineers and quality engineers working on products and systems
    • Design engineers and project leads responsible for product performance
    • Data analysts supporting warranty, field returns, and test reliability
    • Teams driving FMEA, validation planning, and standards compliance

The AI for Reliability training is designed for professionals who want to understand how Artificial Intelligence can support reliability and maintenance practices, or professionals who are regularly involved in reliability improvement, failure analysis, testing, or maintenance initiatives. 

 

Certificate

At the end of the session, participants will receive a declaration of participation.

Location & Dates

Location

Eindhoven – High Tech Campus 29

Dates 2026

1 July

26 November

Group size 

Maximum number of participants: 12.

 

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