Overview
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Master the key aspects of AI implementation and responsible AI practices to drive successful AI projects in your organization.
Syllabus
Introduction
- Building trustworthy AI: From concept to real-world impact
- What is responsible AI?
- Why AI implementation matters
- Strategic AI implementation steps
- Tools and techniques for AI implementation
- Evaluating cloud AI platforms
- Choosing the right platform
- Ethical AI development and strategic considerations
- Bias and fairness in AI
- Continuous monitoring for AI systems
- Iterative improvement of AI systems
- Successful AI implementation examples
- Lessons learned from AI failures
- Recap and next steps
Taught by
Isil Berkun