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Description

Artificial Intelligence and Big Data: Understand, Identify and Govern

Two days to establish what data and artificial intelligence genuinely make possible

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

Proposals for tools built on artificial intelligence arrive from every direction and promise gains that are difficult to verify. Company data is scattered and of uneven quality. Without clear reference points, projects start on the strength of an appealing demonstration and stop once the pilot phase ends.

These 14 hours provide the technical and regulatory reading grid. Participants understand what large-scale data is and how a model learns, distinguish the main families of use cases, assess the feasibility of a use case against the data actually available, then identify the risks to be governed before any launch.

Learning objectives

  • Define what distinguishes large-scale data from everyday data
  • Describe how a machine learning model works
  • Distinguish the main families of artificial intelligence use cases
  • Assess the feasibility of a use case against the data available
  • Identify the risks and obligations to be governed in a project

What makes this programme different

Guided demonstrations showing both the successes and the errors of models
An assessment grid for testing the feasibility of a use case
A live sorting exercise separating vendor promises from actual tool capabilities

Programme

1Large-Scale Data and Data Quality

The raw material comes before the models

  • What characterises large-scale data
  • Internal sources and external sources
  • Data quality, completeness and cleansing
  • Data storage and data flows across the organisation

2How a Machine Learns

The principle behind the promises

  • Supervised and unsupervised learning
  • Training, testing and performance measurement
  • Language models and generative artificial intelligence
  • Overfitting and performance decay over time
  • What a model cannot do

3Use Cases and Feasibility

From business need to project

  • Prediction, classification and recommendation use cases
  • Automated processing of text and images
  • Checking the data available for a given use case
  • Assessing expected benefit against project cost
  • Choosing between a market tool and in-house development

4Governing Usage

Deciding with full knowledge of the facts

  • Personal data protection and lawful grounds for processing
  • Bias, discrimination and explainability of decisions
  • Confidentiality of information submitted to external tools
  • The role of human judgement in the final decision
  • Building team awareness and managing change

Who is it for

Marketing managers · project leaders · managers and executives involved in data or artificial intelligence initiatives.

Prerequisites

No prior knowledge 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.