Practical Workshop in AI Strategy & Governance

Course Introduction

This course focuses on one question: how do teams in data, analytics and automation initiatives apply AI Strategy & Governance consistently and safely under real constraints? Five days of discussion, exercises and case work provide practical answers you can adapt to your own organisation.

Training Objectives

• 01Explain the core principles, terminology and standards behind AI Strategy & Governance in clear, practical language
• 02Select and adapt suitable approaches to AI Strategy & Governance for the constraints of data, analytics and automation initiatives
• 03Diagnose weak spots in current practice and prioritise corrective action
• 04Use practical tools, checklists and templates that support day-to-day AI Strategy & Governance
• 05Leave with a prioritised list of improvements you can start within 30 days

What You Will Take Away

• Sample datasets, scripts or configurations to reuse
• A roadmap for adopting the tools in your team
• Hands-on lab exercises with guided walkthroughs

Who Should Attend

• Business & Digital Transformation Leaders
• Data & Analytics Professionals
• IT & Innovation Managers
• Operations Managers Exploring AI

Prerequisites: Open to all levels; participants are encouraged to bring a real work challenge.

Training Methodology

This is a hands-on workshop: short briefings followed by extended exercises, simulations and group activities, with most time spent applying rather than listening. Case material and examples are drawn from data, analytics and automation initiatives.

Day-by-Day Programme (5 Days)

• Day 1
  Foundations and context

  Key terms, roles and the regulatory background behind AI Strategy & Governance, with examples from data, analytics and automation initiatives.

• Day 2
  Methods and standards in depth

  A detailed look at frameworks, codes and decision methods used in AI Strategy & Governance.

• Day 3
  Practical workshop day

  Group exercises and simulations that put AI Strategy & Governance techniques to work.

• Day 4
  Case-study day

  Real-world cases, failure analysis and improvement options related to AI Strategy & Governance.

• Day 5
  Action plan and assessment

  Review, individual action plans and a short assessment to confirm readiness to apply AI Strategy & Governance.

Upcoming Sessions