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Duration 14 hours
Course Outline
Introduction
Overview of Artificial Intelligence (AI)
- Machine learning systems
Exploring AI Applications
- AI in corporate environments
Understanding AI Technology
- Concepts of underfit, overfit, classification, and regularization
- Multi-layer perception (MLP) and deep learning
- Convolutional and recurrent neural networks
Evaluating Strategic Approaches
- Decisions regarding commissioning or procurement (build vs. buy)
- AI maturity models specific to your organization
Utilizing Organizational Data
- Assessing data readiness
- Word embeddings
- Training models with synthetic data
Assessing AI Project Selection
- Essential criteria for selecting projects
Managing an AI Project
- Distinguishing between machine learning and deep learning
- Project management aspects (lifecycle, timelines, and methodologies)
- Operations, maintenance, and risk management strategies
Collecting Feedback
- Deploying feedback mechanisms (e.g., surveys, interviews)
- Identifying key stakeholders for feedback input
- Interpreting and analyzing results
Summary and Future Steps
Requirements
- No prior experience or prerequisites are necessary.
Target Audience
- Business executives and leaders
- Project managers
