Artificial Intelligence (AI) for Managers - 2 Days Training Course

Introduction

Overview of Artificial Intelligence (AI)

• Machine learning systems.

Exploring Applications of AI

• AI in the corporate context.

Understanding AI Technology

• Concepts of underfitting and overfitting, classification, and regularization.
• Multi-layer perception (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

• Evaluating data readiness.
• Word embeddings.
• Training with artificial data.

Assessing AI Project Selection

• Key criteria for selecting projects.

Managing an AI Project

• Differences between machine learning and deep learning.
• Project management aspects (lifecycle, timelines, methodology).
• Operations, maintenance, and risk management.

Gathering Feedback

• Implementing feedback methods (surveys, interviews, etc.).
• Identifying key stakeholders who will provide feedback.
• Analyzing results.

Summary and Next Steps