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 Duration 7 hours

Course Outline

Introduction

Fundamentals of Artificial Intelligence (AI)

  • Machine learning systems.

Applications of AI

  • AI within a corporate framework.

AI Technology Insights

  • Concepts of underfitting, overfitting, classification, and regularization.
  • Multi-layer perception (MLP) and deep learning.
  • Convolutional and recurrent neural networks.

Strategic Approaches Evaluation

  • Commissioning or procurement strategies (build vs. buy).
  • AI maturity models applicable to your organization.

Leveraging Organizational Data

  • Data readiness assessment.
  • Word embeddings.
  • Training using synthetic data.

AI Project Selection Criteria

  • Essential factors for choosing projects.

Managing AI Projects

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

Feedback Collection

  • Establishing feedback mechanisms (surveys, interviews, etc.).
  • Identifying key stakeholders for input.
  • Result analysis.

Summary and Future Steps

Requirements

  • No prior requirements necessary.

Intended Audience

  • Business leaders.
  • Project managers.

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