Data Readiness for Artificial Intelligence
Most artificial intelligence projects fail on data rather than algorithms. This course covers the assessment and preparation work that determines whether a project can succeed at all: quality, structure, access and governance.
Course outline
What this programme covers, module by module.
- 01Why projects fail on data rather than on models
- 02Assessing data availability, volume, history and relevance
- 03Data quality dimensions and fitness for purpose
- 04Integration, identity resolution and joining across sources
- 05Data governance, ownership, lineage and documentation
- 06Personal and sensitive data in training and inference
- 07Building a realistic data preparation plan and estimate
What you will gain
- Assess whether your data can support a proposed project
- Measure and improve data quality against fitness for purpose
- Resolve identity and integration problems across sources
- Establish data governance, ownership and lineage
- Handle personal and sensitive data lawfully in model work
- Build a data preparation plan with realistic effort estimates
Who should attend
- Data managers and architects
- Business analysts and project sponsors
- IT and information management staff
- Governance and compliance professionals
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 27 to 29 Oct 2026 | London | 3 Days | US$1,500 | |
| 10 to 12 Nov 2026 | Dubai | 3 Days | US$1,500 | |
| 7 to 9 Dec 2026 | Pretoria | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | Durban | 3 Days | R13,000 | |
| 25 to 27 Jan 2027 | Cape Town | 3 Days | R13,000 | |
| 29 to 31 Mar 2027 | Johannesburg | 3 Days | R13,000 | |
| 8 to 10 Jun 2027 | London | 3 Days | US$1,500 |
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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