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 Conclusion
Requirements
- Familiarity with programming
- Basic understanding of algorithms
Audience
- Business leaders
- Project managers
Promotional Courses
Testimonials (7)
All the information presented
Jose Victor - si
Course - Artificial Intelligence (AI) for Managers
The exercises and examples presented.
Marcos - si
Course - Artificial Intelligence (AI) for Managers
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Machine Lerning Themes.
Víctor Edgar - si
Course - Artificial Intelligence (AI) for Managers
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The teacher's attitude
Ivonne Guadalupe Avendaño Hernandez - si
Course - Artificial Intelligence (AI) for Managers
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The concepts taught were clear, practical and help a lot in getting an idea of how to use this AI & ML topic.
Miguel - si
Course - Artificial Intelligence (AI) for Managers
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The experience and knowledge of the instructor.
SERGIO BRAVO - si
Course - Artificial Intelligence (AI) for Managers
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Maybe some practice.
Hilario García - si
Course - Artificial Intelligence (AI) for Managers
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