Module 1: Foundations of AI for Programme Strategy – Introduction

1.1 Understanding of AI, ML, and Deep Learning

1.2 AI Lifecycle & Real-World Applications

1.3 Societal Impact of AI

1.4 Use Case: Triage System (AI for Emergency Services)

1.5 Case Study: Retail Recommendation System (Personalising Customer Experience)

1.6 Hands-on: Use Teachable Machine to Build a Simple AI Classifier

Module 2: Identifying AI Opportunities & Use Cases

2.1 Introduce AI Strategy Alignment Frameworks: AI Canvas, Value vs Feasibility Matrix

2.2 Signs That a Process May Benefit from AI: Repetitive Tasks, Data-Rich Environments, Personalisation Needs

2.3 Prioritisation Techniques: Weighted Scoring, Risk-Adjusted ROI

2.4 Use-Case: Financial AI – Fraud Detection Systems Using AI

2.5 Case Study: AI-Driven Project Management System for a Programme Director

2.6 Hands-on: Use Trello to Create a Board and Prioritise AI Opportunities Within a Given Scenario

Module 3: Governance & Ethics in AI

3.1 Responsible AI Principles

3.2 AI Bias & Risk Mitigation

3.3 Use-case: Auditing Bias in AI-Powered Recruitment to Ensure Fair Hiring

3.4 Case Study: Mitigating Algorithmic Bias in Credit Scoring Models to Ensure Fair Lending Practices

3.5 Hands-on: Use Google’s What-If Tool in Google Colab to Evaluate Model Fairness and Bias

Module 4: AI Project Lifecycle & Integration

4.1 AI Project Planning & CRISP-DM

4.2 Integration: Build vs Buy vs Partner

4.3 AI Project Management Tools

4.4 Use Cases: AI for Predictive Maintenance (Asset Management in Manufacturing)

4.5 Tool-Based Hands-on Activity: Simulate an AI Project in Asana

Module 5: Data Strategy & Infrastructure for AI

5.1 Data Governance & Quality

5.2 Setting up Data Pipelines for AI

5.3 Sensitive Data Management

5.4 Use Case: Retail Inventory System — AI-driven Restocking and Demand Prediction

5.5 Case Study: Healthcare Data Security — Managing Patient Privacy in AI-Based Healthcare Systems

5.6 Tool-Based Hands-on Activity: Set up Airbyte Cloud and Build a Basic Data Pipeline

Module 6: AI Integration — Build vs Buy vs Partner

6.1 Evaluating AI Solutions

6.2 Vendor Evaluation & Management

6.3 Use Case: AI Vendor Selection — Choosing Predictive Maintenance Solutions for a Manufacturing Plant

6.4 Tool-Based Hands-on Activity: Use a Vendor Selection Template to Evaluate AI Vendors (Google Sheets)

Module 7: AI Risk Management & Compliance

7.1 Regulatory Frameworks

7.2 Bias Detection & Mitigation

7.3 Use Case: Facial Recognition Bias (Law Enforcement Systems)

7.4 Case Study: AI in Finance: Ensuring Compliance in AI Deployments

7.5 Tool-Based Hands-on Activity: Bias Testing & Fairness Evaluation Using KNIME and Google PAIR Facets Fairness Explorer

Module 8: AI Tools & Techniques for Project Management

8.1 AI Project Management Tools

8.2 Data Management Tools

8.3 Case Study and Use Case: AI Workflow Management: Using project management tools for AI deployment in the retail sector

8.4 Tool-Based Hands-on Activity: Use Asana to simulate project timelines, setting up tasks and milestones for an AI initiative

Module 9: Leadership in AI

9.1 Leading AI Teams & Change Management

9.2 Managing Stakeholders & Communication

9.3 Use Case: AI in Manufacturing: Leading AI Implementation in a Large-Scale Manufacturing Operation

9.4 Tool-Based Hands-on Activity: Use Miro to Map Stakeholder Communication Strategies and Identify Key Influencers

Module 10: Scaling AI Initiatives

10.1 From Pilot to Full-Scale Deployment

10.2 Organisational Maturity Models for AI

10.3 Use Case: Scaling AI in Retail: Expanding AI-driven Recommendations Globally

10.4 Tool-Based Hands-on Activity: Create a Scaling Roadmap Using Lucidchart Outlining Key steps in Scaling AI Initiatives.

Module 11: Future Trends in AI

11.1 Emerging AI Technologies

11.2 Use Case / Case Study: AI in Autonomous Vehicles: The future of AI in self-driving cars

11.3 Tool-Based Hands-on Activity: Explore Hugging Face Transformers for NLP and TensorFlow for Deep Learning Applications

Module 12: Capstone Project & Presentation

12.1 Capstone Project Overview

12.2 Presentation & Feedback

12.3 Final Review & Certification – Method, Process, and Feedback Mechanism