Use of Generative Artificial Intelligence in Business (UD)

Equip students with foundational knowledge of GAI: ensure that students grasp the essential concepts of GAI and its applications, especially focusing on the implications of GAI in the business landscape.

Foster critical thinking regarding GAI technologies and their societal impact: encourage-age students to critically analyse the role of GAI in business, its potential, its limitations, and its ethical considerations, preparing them for responsible decision-making in GAI adoption.

Develop practical skills with GAI tools: provide students with hands-on experience using GAI tools, enabling them to integrate these tools into business processes effectively and efficiently.

Prepare students for the future of work in an GAI-driven economy: equip students with the knowledge and skills to understand how GAI will shape jobs, business models, and industries in the future, with a focus on adapting to changes and leveraging opportunities.

1. Key AI technologies and an introduction to generative artificial intelligence (GAI) tools and platforms
2. Types of machine learning and their connection to GAI
3. Applications of GAI in business
4. Overview of popular GAI tools for business
5. Real-world case studies on how AI and GAI are transforming business operations.
6. GAI implementation into business.
7. Ethical concerns, privacy risks, and regulatory requirements in GAI.
8. Exploring the role of AI agents in automating tasks, decision-making, and customer service.
9. Applying GAI tools to real business scenarios.