AI for Predictive Maintenance
Maintenance data is plentiful and messy, and models built on it fail when failures are rare. This course covers building failure prediction models that work with imbalanced industrial data.
Course outline
What this programme covers, module by module.
- 01Framing maintenance prediction as a modelling problem
- 02Sensor data, work orders and joining them usefully
- 03Labelling failures and defining the prediction window
- 04Severe class imbalance and how to handle it
- 05Evaluation against maintenance decisions, not accuracy
- 06Thresholds, intervention cost and false alarms
- 07Deployment into planning and closing the loop
What you will gain
- Frame maintenance prediction as a modelling problem
- Prepare sensor and work order data for modelling
- Handle severe class imbalance from rare failures
- Evaluate models against maintenance decisions
- Set thresholds that balance intervention cost
- Deploy predictions into maintenance planning
Who should attend
- Data scientists working with industrial data
- Reliability and maintenance engineers
- Asset management staff
- Analysts supporting operations
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 9 to 11 Nov 2026 | Pretoria | 3 Days | R13,000 | |
| 17 to 19 Nov 2026 | Durban | 3 Days | R13,000 | |
| 7 to 9 Dec 2026 | Cape Town | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | Johannesburg | 3 Days | R13,000 | |
| 1 to 3 Mar 2027 | London | 3 Days | US$1,500 | |
| 3 to 5 May 2027 | Dubai | 3 Days | US$1,500 | |
| 12 to 14 Jul 2027 | Pretoria | 3 Days | R13,000 |
Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.
Enquire about this course
Register your team or ask for a tailored in-house quote. We reply within one working day.
WhatsApp usCourse brochure (PDF)- Fees from
- R13,000 per delegate
- Duration
- 3 Days
- Field
- Artificial Intelligence & Emerging Technology
- Formats
- In-house, public, online
More in Artificial Intelligence & Emerging Technology
Artificial Intelligence for Business Leaders
Executives are asked to approve artificial intelligence investments without a technical background. This course gives decision makers enough working understanding to tell a genuine opportunity from a costly distraction, and to ask suppliers the right questions.
Deploying and Operating Machine Learning Models
A model that works in a notebook is not yet a working system. This course covers what it takes to run a model in production: packaging, serving, monitoring for drift and retraining without breaking what depends on it.
Generative AI Tools in the Workplace
Generative tools are already in use across most organisations, often without guidance. This practical course shows staff how to use them well for real work tasks, and where the accuracy and confidentiality traps lie.