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Course Outline
Introduction
Overview of Artificial Intelligence (AI)
- Machine learning systems.
Exploring AI Applications
- AI in the corporate context.
Understanding AI Technology
- Underfit and overfit, classification, and regularization.
- Multi-layer perception (MLP) and deep learning.
- Convolutional and recurrent neural networks.
Evaluating Strategic Approaches
- Commissioning or procurement (build or buy?).
- AI maturity models for your organization.
Working with Organizational Data
- Data readiness evaluation.
- Word embeddings.
- Training with artificial data.
Assessing AI Project Selection
- Key criteria for project selection.
Managing an AI Project
- Machine learning versus deep learning.
- Project management (lifecycle, timescales, methodology).
- Operations, maintenance, and risk management.
Gathering Feedback
- Implementing feedback methods (surveys, interviews, etc.).
- Key stakeholders who will provide feedback.
- Analyzing results.
Summary and Next Steps
Requirements
- No prerequisites required.
Target Audience
- Business leaders.
- Project managers.
14 Hours
