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Duration 14 hours
Course Outline
Introduction
Overview of Artificial Intelligence (AI)
- Machine learning systems
Exploring AI Applications
- AI in a corporate context
Understanding AI Technology
- Underfitting and overfitting, classification, and regularization
- Multi-layer perceptron (MLP) and deep learning
- Convolutional and recurrent neural networks
Assessing Strategic Approaches
- Commissioning or procurement (build or buy?)
- AI maturity models for your organization
Working With Data in Your Organization
- Data readiness evaluation
- Word embeddings
- Training with artificial data
Evaluating AI Project Selection
- Key criteria for selecting AI projects
Managing an AI Project
- Machine learning versus deep learning
- Project management (lifecycle, timelines, methodologies)
- Operations, maintenance, and risk management
Gathering Feedback
- Implementing feedback mechanisms (surveys, interviews, etc.)
- Key stakeholders who will provide feedback
- Analyzing results
Summary and Next Steps
Requirements
- No prior prerequisites are required.
Target Audience
- Business leaders
- Project managers
