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EasyUphill
CORPORATE DEVELOPMENT
+27 81 041 7673
training@eubiz.co.za
68 Sunstone Street, Germiston, 1401
eubiz.co.za
Artificial Intelligence & Emerging Technology

AI for Predictive Maintenance

Duration
3 Days
Delivery
In-house, public or online
From
R13,000 per delegate
Certificate
On completion
Course overview

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.

What you will be able to do
  • 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
Course outline
01
Framing maintenance prediction as a modelling problem
02
Sensor data, work orders and joining them usefully
03
Labelling failures and defining the prediction window
04
Severe class imbalance and how to handle it
05
Evaluation against maintenance decisions, not accuracy
06
Thresholds, intervention cost and false alarms
07
Deployment into planning and closing the loop
Upcoming public sessions
DatesVenueDurationFee per delegate
9 to 11 Nov 2026Pretoria3 DaysR13,000
17 to 19 Nov 2026Durban3 DaysR13,000
7 to 9 Dec 2026Cape Town3 DaysR13,000
11 to 13 Jan 2027Johannesburg3 DaysR13,000
1 to 3 Mar 2027London3 DaysUS$1,500
3 to 5 May 2027Dubai3 DaysUS$1,500
12 to 14 Jul 2027Pretoria3 DaysR13,000
Fees exclude VAT. This course can also be delivered in-house at your premises on dates that suit your team, or live online.
To book or ask for an in-house quote

Reply to the email this brochure came with, call +27 81 041 7673, or visit eubiz.co.za and open this course.

EasyUphill Training & ConsultingTailored training that moves teams forward.
+27 81 041 7673  ·  training@eubiz.co.za
68 Sunstone Street, Germiston, 1401  ·  eubiz.co.za