Artificial Intelligence (AI) for Managers Training Course

Introduction

Overview of Artificial Intelligence (AI)

• Machine learning systems

Exploring Applications for AI

• AI in the corporate context

Learning About the Technology of AI

• Underfitting, overfitting, classification, and regularization
• Multi-layer perceptrons (MLP) and deep learning
• Convolutional and recurrent neural networks

Assessing Strategic Approaches

• Deciding between commissioning or procurement (build vs. buy)
• AI maturity models for your organization

Working With Data in Your Organization

• Data readiness assessment
• Word embeddings
• Training with synthetic data

Assessing AI Project Selection

• Key criteria for selecting AI projects

Managing an AI Project

• Machine learning versus deep learning
• Project management (lifecycle, timescales, methodology)
• Operations, maintenance, and risk management

Gathering Feedback

• Implementing feedback mechanisms (surveys, interviews, etc.)
• Key stakeholders for feedback provision
• Analysis of outcomes

Summary and Next Steps