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Predictive Maintenance with AI and Analytics

A practical maintenance and reliability course covering predictive maintenance techniques, sensor data and condition monitoring and machine learning for failure prediction. Run as a 5-day core or 10-day extended programme, in 16 cities, live online or in-house, and fully customisable for your team.

Most demandedRising demand 2027

About this course

Predictive Maintenance with AI and Analytics gives delegates a structured, practical understanding of predictive maintenance techniques and sensor data and condition monitoring, then builds the skills to apply machine learning for failure prediction, building PdM programmes and value and ROI in real work. Maintenance and reliability courses that cut downtime and cost, from planning and turnarounds to predictive analytics and digital twins. One of our most requested courses. Demand for these skills is expected to rise strongly by 2027.

Sessions are led by practitioners with at least 15 years in the field, and mix short input with exercises, case studies and group work, so delegates return with methods they can use straight away.

Who should attend

Maintenance managers, planners, reliability engineers, inspection staff and asset managers. No specialist prerequisites are required for the Practitioner level; Foundation, Advanced and Executive versions are available on request.

What you will learn

  • Predictive maintenance techniques
  • Sensor data and condition monitoring
  • Machine learning for failure prediction
  • Building PdM programmes
  • Value and ROI

5-day course outline

  1. Day 1

    Predictive maintenance techniques

    Concepts, standards and terminology, with a diagnostic exercise to baseline the group.

  2. Day 2

    Sensor data and condition monitoring

    Methods and tools explained step by step, with worked examples from real operations.

  3. Day 3

    Machine learning for failure prediction

    Hands-on practice in small groups using realistic data, cases and templates.

  4. Day 4

    Building PdM programmes

    Case studies of successes and failures, and how to apply the lessons in your organisation.

  5. Day 5

    Value and ROI

    Integration exercise, final knowledge check and a personal action plan.

10-day extended programme

The extended programme includes the full 5-day outline above, plus a second week of applied work.

  1. Day 6

    Applied workshop: Predictive maintenance techniques

    Deeper practice with your own data or site examples.

  2. Day 7

    Applied workshop: Sensor data and condition monitoring and machine learning for failure prediction

    Group exercises that combine methods from week one.

  3. Day 8

    Field case study: Building PdM programmes

    A detailed industry case worked through from start to finish.

  4. Day 9

    Advanced practice: Value and ROI

    Tools, templates and checklists to take back to work.

  5. Day 10

    Assessed project and presentation

    Each delegate presents an improvement plan and completes the final assessment.

Upcoming classroom dates

DatesCityLengthFee
2 Nov 2026 to 13 Nov 2026London10 days$6,250
7 Dec 2026 to 11 Dec 2026London5 days$3,450
4 Jan 2027 to 8 Jan 2027London5 days$3,450
7 Feb 2027 to 11 Feb 2027Riyadh5 days$2,450
15 Mar 2027 to 19 Mar 2027London5 days$3,450
12 Apr 2027 to 16 Apr 2027Istanbul5 days$2,450
10 May 2027 to 14 May 2027Amsterdam5 days$3,450
6 Jun 2027 to 10 Jun 2027Riyadh5 days$2,450
18 Jul 2027 to 22 Jul 2027Cairo5 days$2,450
16 Aug 2027 to 27 Aug 2027Dubai10 days$4,450

Live online sessions run every month in GCC, Europe and Asia time slots. Other dates and cities on request.

Customise this course

Change the level, language, length and format, combine it with topics from other courses or ask for topics that are not in our catalogue, and add your own case studies, site visits or exam preparation. Open this course in the customiser to see the day-by-day outline and an instant indicative fee.

Frequently asked questions

How long is the Predictive Maintenance with AI and Analytics course?

It runs as a 5-day core programme or a 10-day extended programme. The 10-day version adds a second week of workshops, case studies and an assessed project.

Where is the Predictive Maintenance with AI and Analytics course held?

Classroom sessions run in Dubai, Istanbul, London, Kuala Lumpur and Cairo, with more cities opening to 2030. It is also available live online and in-house at your site.

Can the Predictive Maintenance with AI and Analytics course be customised?

Yes. You can change the level, language, length from 1 to 20 days and format, add topics from other courses or new topics, and include your own case studies. Use the online customiser for an instant indicative fee.

How much does the Predictive Maintenance with AI and Analytics course cost?

From $2,450 for 5 days in Dubai, Istanbul, Cairo or Kuala Lumpur, $3,450 in London, and $1,450 live online. In-house delivery for up to 15 delegates starts at $12,900.

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