Why This Course Exists

This is the course we wish we'd had earlier in our careers.

Built from more than a decade of experience across banking, Data & AI delivery, research and advanced study. It brings together the lessons that usually take years to learn.

We spent years learning them the hard way. You don't have to.

You'll leave with a practical framework: spot what goes wrong, know what to question, and design initiatives for success.

Audience

Who It's For

Designed for leaders and senior professionals involved in Data & AI initiatives — from sponsors and governance stakeholders to the practitioners delivering them.

Leaders & Non-Technical Stakeholders

Build the shared language and judgement to sponsor, challenge and govern Data & AI initiatives—without needing to master the technical details.

Data & AI Practitioners

Develop a broader view of what makes Data & AI initiatives succeed beyond the technology itself.

What You'll Gain

What You'll Leave With

Pre-Commitment Checklist

Better questions before committing

Diagnostic questions on scope, ownership and readiness, to ask before resources are committed.

Maturity Framework

A clearer view of where you stand

A structured way to assess your organisation's Data & AI maturity.

One-Page Approval Artefact

A stronger basis for what moves forward

A ready-to-use template for structuring and evaluating your next Data & AI initiative.

Course Structure

Six Modules

01

Foundations

How enterprise data actually flows — from source systems to reports, dashboards, and AI.

02

The Complexity Gap

Understanding why initiatives that look simple on paper become unexpectedly complex in practice.

03

Patterns of Failure

Identify and name the patterns through which data and AI initiatives fail.

04

Where Are You Today?

A structured, honest assessment of where your organisation sits today and what it takes to advance.

05

How to Design for Success

A practical decision framework for designing data and AI initiatives that succeed.

06

Generative AI in Practice

Providing a practical framework for evaluating GenAI's opportunities and risks.

Positioning

Why This Course Is Different

Go beyond awareness to build the judgement needed for real Data & AI decisions.

High Decision-Making Depth

Low High

Generic Awareness Broad, conceptual

Technical Training Deep, but narrow

Making Data & AI Work Applied decision-making depth

Technical Depth

Course Instructors

Learn From Practitioners

Built from real delivery experience — not theory, not vendor frameworks, and not isolated use cases.

Abdulrahman AlQallaf

linkedin.com/in/abdulrahman-alqallaf

12 years building Data & AI capabilities across leading banks in Kuwait.

National Bank of Kuwait, Boubyan Bank, and Gulf Bank. Built Kuwait's first AI-powered banking recommendation and spending-insights features at Boubyan Bank, and led enterprise data strategy at Gulf Bank.

Dr. Ahmad AlObaid

linkedin.com/in/ahmadalobaid

PhD in AI with international public- and private-sector delivery experience.

PhD in AI, Universidad Politécnica de Madrid, with a Master's in Statistics from Universidad Carlos III de Madrid. AI researcher with hands-on experience across international public and private sector projects, including consulting for the European Commission in Brussels.

Course Availability

Choose How You'd Like to Learn

A self-paced version is coming soon. The course is also available as a tailored programme for organisations and teams — tell us what you're interested in below and we'll be in touch.

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