Model Interpretability and Explainability
A model that cannot be explained cannot be defended to a regulator, a customer or a court. This course covers making model decisions understandable without pretending to more certainty than the method allows.
Course outline
What this programme covers, module by module.
- 01Why an unexplainable model is a liability
- 02Inherently interpretable models and what they cost in accuracy
- 03Local explanations for individual decisions
- 04Global behaviour, feature importance and interactions
- 05Where explanation techniques mislead or oversimplify
- 06Regulatory expectations for automated decisions
- 07Explaining a decision to a customer or an adjudicator
What you will gain
- Explain why interpretability matters legally and commercially
- Distinguish inherently interpretable models from opaque ones
- Apply explanation techniques to individual decisions
- Assess global model behaviour and feature influence
- Recognise where explanations mislead
- Communicate a model decision to a non technical audience
Who should attend
- Data scientists and analysts
- Risk and compliance professionals
- Model validation and audit staff
- Managers accountable for automated decisions
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 26 to 28 Oct 2026 | Durban | 3 Days | R13,000 | |
| 9 to 11 Nov 2026 | Cape Town | 3 Days | R13,000 | |
| 24 to 26 Nov 2026 | Johannesburg | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | London | 3 Days | US$1,500 | |
| 25 to 27 Jan 2027 | Dubai | 3 Days | US$1,500 | |
| 12 to 14 Apr 2027 | Pretoria | 3 Days | R13,000 | |
| 14 to 16 Jun 2027 | Durban | 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
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