
Staff Member #1
Biography of instructor/staff member #1
This course introduces Generative AI with a focus on AI literacy, awareness, and the ethical and responsible use of AI. Students learn how to configure and operate AI systems for both one-off and real-time tasks, including the fundamentals of generative AI models, common issues such as bias and hallucination, and principles of model selection. The course emphasizes prompt engineering, critical prompting, and context setting, with practice in evaluating and improving prompt effectiveness. Learners explore popular Generative AI tools and platforms, and their applications in education and the workplace. Topics include using AI to develop and enhance teaching materials, design assessments, support grading, and providing feedback, as well as examining AI applications in business and industry, with attention to privacy, data security, return on investment (ROI), and associated risks.
Total credits 1(1-0-2)
CLO1: Explain the fundamental concepts and principles of generative AI, including how prompts influence outcomes.
CLO2: Apply AI tools to generate meaningful content across various contexts while demonstrating ethical awareness and responsible use.
CLO3: Analyze ethical and societal implications of AI use, particularly regarding data privacy, bias, misinformation, and decision-making.
Introduction to generative AI, AI literacy and awareness, ethics and responsibility
Generative AI concepts (Beyond the Basics), fundamentals of generative AI models, bias & hallucination, model selection
Prompt engineering, critical prompting and context setting, evaluating prompt effectiveness
Generative AI tools, popular tools and platforms
AI case study: AI in education and work, usage considerations (privacy & data security), examples of AI applications in business and industry, evaluating return on investment (ROI) and risks
Course Staff

Biography of instructor/staff member #1

Biography of instructor/staff member #2