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 Duration 7 hours

Course Outline

Introduction

Overview of Artificial Intelligence (AI)

  • Machine learning systems

Exploring AI Applications

  • AI within a corporate environment

Understanding AI Technology

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

Evaluating Strategic Approaches

  • Commissioning or procurement (build vs. buy decision)
  • AI maturity models for your organization

Leveraging Data within Your Organization

  • Assessment of data readiness
  • Word embeddings
  • Training using synthetic data

Evaluating AI Project Selection

  • Essential criteria for selecting projects

Overseeing an AI Project

  • Machine learning compared to deep learning
  • Project management (lifecycle, timelines, and methodologies)
  • Operations, maintenance, and risk management

Collecting Feedback

  • Establishing feedback mechanisms (surveys, interviews, etc.)
  • Key stakeholders involved in providing feedback
  • Analysis of outcomes

Conclusion and Recommended Next Steps

Requirements

  • No prior prerequisites are necessary

Intended Audience

  • Business leaders
  • Project managers

Number of participants


Price per participant (excl. VAT)

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