Advanced Strategies in AI Strategy & Governance

Course Introduction

Delivered over five days, this advanced-level programme on AI Strategy & Governance combines concise technical input with hands-on application. It is built around data, analytics and automation initiatives, so examples, exercises and discussion stay relevant to participants' daily work.

Training Objectives

• 01Build a shared vocabulary and framework for AI Strategy & Governance that your whole team can use
• 02Apply proven methods for AI Strategy & Governance to realistic scenarios drawn from data, analytics and automation initiatives
• 03Anticipate the failure points and compliance issues that most often affect AI Strategy & Governance
• 04Communicate AI Strategy & Governance decisions clearly to colleagues, clients and management
• 05Prepare a personal action plan to apply AI Strategy & Governance in your own organisation

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: Recommended: at least two years of relevant work experience.

Training Methodology

Building on participants' existing experience, the programme relies on case analysis, comparison of approaches and structured problem-solving rather than lecture. 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