AI Pilot to Production Transition
Pilots succeed under conditions production never provides, which is why so many never cross over. This course covers what has to be true before a pilot becomes a live system.
Course outline
What this programme covers, module by module.
- 01Why pilots succeed and production fails
- 02Defining what a pilot must prove
- 03The gap between pilot and production conditions
- 04Integration, data pipelines and operational ownership
- 05Monitoring, alerting and failure handling in production
- 06Users, training and the processes around the system
- 07Deciding honestly when a pilot should not proceed
What you will gain
- Define what a pilot must prove to justify production
- Identify the gap between pilot and production conditions
- Plan integration, support and operational ownership
- Establish monitoring and failure handling
- Prepare users and the processes around the system
- Decide honestly when a pilot should not proceed
Who should attend
- Technology and project managers
- Data and analytics leaders
- Operations managers receiving new systems
- Sponsors approving production investment
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 2 to 4 Nov 2026 | Cape Town | 3 Days | R13,000 | |
| 16 to 18 Nov 2026 | Johannesburg | 3 Days | R13,000 | |
| 11 to 13 Jan 2027 | London | 3 Days | US$1,500 | |
| 15 to 17 Feb 2027 | Pretoria | 3 Days | R13,000 | |
| 19 to 21 Apr 2027 | Durban | 3 Days | R13,000 | |
| 29 Jun to 1 Jul 2027 | Cape Town | 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.



