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Course Outline
Introduction
Overview of Artificial Intelligence (AI)
- Machine learning systems
Exploring Applications for AI
- AI in the corporate context
Learning About the Technology of AI
- Underfit and overfit, classification, and regularization
- Multi-layer perception (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
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
Audience
- Business leaders
- Project managers
7 Hours
Testimonials (3)
All the information presented
Jose Victor - si
Course - Artificial Intelligence (AI) for Managers
good management of the information you shared
Kenia Iveth - si
Course - Artificial Intelligence (AI) for Managers
It was very funny and very interesting the way of how topics were exposed
