In this course you’ll explore how Generative AI is quicky transforming the way businesses create value and engage with customers. The course features four modules that examine both the opportunities and the challenges this technology brings and discusses practical strategies for using it responsibly.
The self-paced interactive content will take you approximately 2 to 3 hours to complete and includes:
- Development of GenAI technologies, their capabilities, and limitations;
- Exploration of data types, preparation, quality, privacy, and governance as drivers of AI performance and trustworthiness;
- How to recognize ethical risks and concerns, including human bias, algorithmic bias, hallucinations, and data privacy concerns;
- Addressing ethical issues associated with GenAI in managerial decision-making;
- Developing cybersecurity-informed approaches that emphasize transparency, adaptive governance, human oversight, and ethical data practices; and
- Analyzing real-world examples and expert perspectives from diverse sectors, including software, healthcare, education, and professional services.
Baylor University Faculty and Staff: If your department is covering the cost of this course, please reach out to extendedlearning@baylor.edu to request the Intercompany Payment form. Once you've completed the form, you’ll receive further instructions on how to proceed with registration.
