CE-22PA1010X - Generative AI in Business: Applications, Challenges, Ethics, and Governance
This expanded course, delivered over four half-day sessions, offers a deeper exploration of prompt engineering and agentic workflows. Building on foundational material, the course is designed to examine the emerging use of Generative AI (GenAI) in business, with a particular focus on its application in data analytics. Participants will delve into the fundamental concepts of generative models such as GPT, BERT, and diffusion, and examine their capabilities in various domains, including translation, classification, and text and image generation. This course also includes critical discussions on the governance and ethics of GenAI systems, addressing the societal, ethical, and regulatory implications of these technologies.
Learner Outcomes
By the end of this course, learners will be able to understand, apply, and critically evaluate generative AI technologies, tools, and ethical considerations across a range of practical and business contexts, including the ability to:
- Explain the core principles of Generative AI, including foundational models like GPT, BERT, and diffusion models.
- Apply advanced prompt engineering techniques (e.g., few-shot learning, chain-of-thought, role-based prompting) to optimize GenAI outputs.
- Design and implement agentic workflows using tools such as LangChain to automate multi-step processes.
- Evaluate and compare major GenAI platforms, including ChatGPT, Claude, Copilot, Hugging Face, and open-source models.
- Understand and navigate ethical and governance challenges related to privacy, bias, transparency, and regulatory compliance in AI systems.
- Utilize GenAI tools in practical business contexts such as data analytics, document generation, and visual content creation.
Who Should Register?
This course is ideal for professionals, managers, analysts, and decision-makers across industries who are interested in:
- Exploring practical business applications of Generative AI in fields such as data analytics, operations, and marketing.
- Gaining hands-on experience with advanced tools like ChatGPT, Copilot, and LangChain.
- Understanding the technical underpinnings of generative models and workflows without requiring prior coding or AI experience.
- Navigating the ethical, legal, and governance implications of AI adoption in enterprise settings.
- Preparing for leadership in a rapidly evolving technological landscape shaped by AI innovation and automation.
What You'll Earn
After completing all course requirements, learners earn the Generative AI In Business record of completion.
View the Generative AI in Business Badge
Learn more about UC Skills credentials on our credentials page.
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Carl H. Lindner College of Business
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