Master AI Ethics, Risk Management, Governance & Compliance for Modern Organizations | Responsible AI | Business AI
Sub Category
- Management
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Objectives
- Differentiate between predictive and generative AI and identify their appropriate business applications.
- Apply core ethical principles like fairness, accountability, transparency, and privacy in AI projects.
- Design and implement a Responsible AI control framework using real-world case studies and governance tools.
- Conduct bias detection, mitigation, and explainability analysis to ensure trustworthy AI systems.
- Build and operationalize an AI governance model with defined roles, risk tiers, and human oversight mechanisms.
Pre Requisites
- Basic understanding of business or technology concepts (no coding required).
- Curiosity about how AI systems make decisions and impact society.
- An interest in data-driven innovation and organizational ethics.
- Access to a computer or device for viewing course content.
- No prior AI or programming experience needed — you’ll learn everything step-by-step.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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