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Lead the Future with Artificial Intelligence

The AI Leadership Programme equips senior leaders, managers, and business decision-makers with the knowledge, skills, and confidence to lead AI adoption, governance, and transformation across their organisations.

Delivered by Training in Data, this programme combines strategic leadership, practical AI implementation, governance, ethics, and business value realisation.

Programme Overview

Programme Title: AI Leadership Programme

Delivery Duration: 12–16 Weeks

Learning Format: Live Virtual Workshops, Self-Paced Learning, Practical Assignments, Executive Coaching

Target Audience:

  • C-Suite Executives
  • Directors and Heads of Department
  • Transformation Leaders
  • Product Leaders
  • Operations Managers
  • Data & Technology Leaders
  • HR and People Leaders
  • Business Owners and Entrepreneurs


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Quality First

We deliver exceptional results in everything we do, ensuring your satisfaction at every step.

Expert Care

Our experienced team brings skill and passion to every project, no matter the size.

Real Results

Proven outcomes that speak for themselves and make a meaningful difference for your business.

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Programme Structure

Module 1: AI Fundamentals for Leaders

Module 2: AI Strategy and Business Transformation

Module 2: AI Strategy and Business Transformation


Topics Covered

  • Introduction to Artificial Intelligence
  • Machine Learning, Generative AI and Agentic AI
  • Current AI landscape
  • AI myths and realities
  • AI opportunities across industries

Learning Outcomes

Participants will:

  • Understand AI terminology
  • Recognise AI capabilities and limitations
  • Identify business use cases

Duration: 1 Week


Module 2: AI Strategy and Business Transformation

Module 2: AI Strategy and Business Transformation

Module 2: AI Strategy and Business Transformation

Topics Covered

  • Creating an AI vision
  • Strategic planning for AI adoption
  • AI maturity models
  • Prioritisation frameworks
  • Building the AI business case

Learning Outcomes

Participants will:

  • Define an AI roadmap
  • Align AI initiatives to business objectives
  • Prioritise investment opportunities

Duration: 2 Weeks

Module 3: Data Foundations for AI Topics Covered

Module 2: AI Strategy and Business Transformation

Module 3: Data Foundations for AI Topics Covered

  • Data quality and governance
  • Modern data platforms
  • Data privacy and security
  • Data readiness assessments
  • Building trusted data ecosystems


Learning Outcomes

Participants will:

  • Assess organisational readiness
  • Understand data requirements for AI
  • Support data-driven decision making

Duration: 2 Weeks


Module 4: Responsible AI and Governance

Module 4: Responsible AI and Governance

Module 3: Data Foundations for AI Topics Covered


Topics Covered

  • AI ethics
  • Bias and fairness
  • Governance frameworks
  • Regulatory considerations
  • Risk management

Learning Outcomes

Participants will:

  • Establish AI governance controls
  • Understand ethical implications
  • Implement responsible AI practices

Duration: 2 Weeks


Module 5: AI Products and Innovation

Module 4: Responsible AI and Governance

Module 5: AI Products and Innovation

Topics Covered

  • AI product lifecycle
  • Innovation frameworks
  • Experimentation and pilots
  • Generative AI applications
  • AI-powered customer experiences

Learning Outcomes

Participants will:

  • Evaluate AI opportunities
  • Lead AI innovation initiatives
  • Manage AI product investments

Duration: 2 Weeks


Module 6: Leading AI Teams

Module 4: Responsible AI and Governance

Module 5: AI Products and Innovation


Topics Covered

  • Building AI capability
  • Cross-functional collaboration
  • Talent development
  • Change leadership
  • AI operating models

Learning Outcomes

Participants will:

  • Lead multidisciplinary teams
  • Build AI capability within their organisation
  • Drive organisational adoption

Duration: 2 Weeks


Module 7: Measuring Value and ROI

Module 7: Measuring Value and ROI

Module 7: Measuring Value and ROI


Topics Covered

  • Defining success metrics
  • AI performance measurement
  • Benefits realisation
  • Cost-benefit analysis
  • Stakeholder communication

Learning Outcomes

Participants will:

  • Demonstrate AI value
  • Track business outcomes
  • Communicate impact effectively

Duration: 2 Weeks


Module 8: AI Leadership Project

Module 7: Measuring Value and ROI

Module 7: Measuring Value and ROI


Project Deliverables

Participants will create:

  • AI Strategy Document
  • AI Governance Framework
  • Business Case and ROI Assessment
  • Implementation Roadmap
  • Executive Presentation


Final Assessment

Module 7: Measuring Value and ROI

Final Assessment


Presentation to a review panel demonstrating:

  • Strategic thinking
  • AI governance
  • Business impact
  • Leadership capability

Duration: 2 Weeks

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