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Description

Artificial Intelligence Projects: Framing, Decision-Making and Deployment

Taking an artificial intelligence project through to genuine operational use rather than stopping at a demonstration

  • 2 days — 14 h
  • In-person or virtual
  • Foundation
  • Up to 6 participants

Many artificial intelligence projects never move beyond the demonstration stage: the model performs well on a carefully selected dataset, but no one has defined who will use it, on which production data, or how the benefit will be measured. Business teams wait for results, management questions the budget already committed, and the initiative stalls.

These two days approach artificial intelligence from a project delivery perspective: use-case selection, data qualification, the choice between a market solution and bespoke development, model evaluation, deployment and the applicable governance framework. Each participant leaves with a completed framing sheet for their own use case.

Learning objectives

  • Identify an artificial intelligence use case with measurable value
  • Qualify the availability and quality of the data required
  • Decide between a market solution and bespoke development
  • Build the project plan and team through to deployment
  • Define result evaluation criteria together with end users
  • Embed compliance and risk management requirements into the project

What makes this programme different

Each participant works through their own use case and tests it against a feasibility grid
An investment committee is simulated so participants can defend the move into production
The classic reasons projects remain stuck at demonstration stage are addressed through real cases

Programme

1Framing the use case

Starting from the business problem, not the technology

  • Identifying tasks where machine learning delivers a measurable gain
  • Framing the problem in terms of prediction, classification or generation
  • Estimating expected value and the conditions required to achieve it
  • Reviewing alternatives that require no algorithm
  • Drafting the framing sheet

2Data and feasibility

Checking the raw material before committing

  • Inventory of data sources and their accessibility
  • Depth of history and representativeness of observations
  • Data quality, labelling and potential bias
  • Confidentiality constraints and handling of personal data
  • True cost of data preparation

3Running the project

Organising the work between business and technical teams

  • Choosing between a market solution, integration or bespoke development
  • Team composition and expected roles
  • Phasing from proof of value through to industrialisation
  • Budget, schedule and decision gates
  • Working with vendors and reversibility clauses

4Evaluation, deployment and compliance

Sustaining the solution over time

  • Defining evaluation criteria with end users
  • Test protocol and comparison with current practice
  • Integration into processes and support for users
  • Performance monitoring and observed drift over time
  • Transparency, documentation and risk management requirements

Who is it for

Project managers, information systems managers, business owners sponsoring a use case and managers involved in digital transformation.

Prerequisites

Prior experience of project delivery is desirable. No programming skills are required.

Dates & locations

36 scheduled dates between November 2026 and December 2027. Seats are confirmed in the order enquiries are received.

November 2026

December 2026

January 2027

February 2027

March 2027

April 2027

May 2027

June 2027

September 2027

October 2027

November 2027

December 2027

None of these dates suit you? We open additional sessions on request, and any programme can be run privately for your team.

Practical details

Before the programme
Online positioning questionnaire. Your development objectives are shared with the trainer, who tailors the practical case studies to your context.
Teaching methods
Theoretical input, workshops and practical case studies. Digital course materials and method sheets provided.
Assessment
Multiple-choice tests and role-play exercises. Assessment of learning at the start and end of the programme, with immediate and 60-day follow-up evaluations.
After the programme
One year of access to the e-learning platform. Self-assessment of the skills acquired and a 30-day follow-up session with your trainer.
How to register
Registration online or on the basis of a quotation.
Lead time
11 working days after confirmation of registration.
Accessibility
Accessible to people of determination. Contact our accessibility coordinator to design a suitable solution: contact@mpf-academy.ae
Start dates
Rolling intake: in addition to the scheduled sessions, this programme can start on request.