University Elective Course
Applied Generative AI & Prompt Engineering
What Your Team will Learn...
This elective introduces students to the fast-evolving world of Generative Artificial Intelligence (AI) — from understanding how large language models work to applying them creatively and responsibly across disciplines.
Students will explore tools like ChatGPT, Gemini, and other AI platforms to solve real-world problems, design intelligent workflows, and develop a portfolio of AI-powered projects.
The course balances concepts, hands-on practice, and ethical reflection, ensuring that learners not only use AI effectively but also understand its societal and professional implications
Skills Your Team will Gain...
By the end of this course, students will be able to:
Understand the fundamentals of large language models and generative systems
Write effective prompts for text, image, and data-based AI tools
Design AI-assisted workflows for creative and analytical tasks
Evaluate AI outputs for accuracy, bias, and ethical concerns
Apply AI tools to real-world problems in their field of study
Build confidence in communicating and collaborating with AI systems
Who Should Take This Course
This elective is open to students from all disciplines — no coding background required.
It’s especially valuable for:
Business and Management students interested in automation and innovation
Design and Media students exploring AI-driven creativity
Computer Science and Engineering students seeking practical prompt and integration skills
Humanities and Social Science students analyzing language, culture, or ethics in AI
Education and Communication majors wanting to use AI for learning and content creation
Course Modules
Introduction to Generative AI
Understanding the evolution of AI, machine learning, and generative systems.
Prompt Engineering Fundamentals
How to design, structure, and test prompts for reliable and creative outputs.
AI Tools and Applications
Exploring tools like ChatGPT, Claude, Midjourney, Leonardo AI, and others.
Creativity and Storytelling with AI
Using AI to enhance design, writing, and ideation.
AI in Data and Decision-Making
Applying generative tools for summarization, analysis, and reporting.
Ethics, Bias, and Responsible AI Use
Addressing limitations, fairness, and responsible adoption.
Capstone Project
Students design an AI-based project relevant to their field — such as an assistant, research aid, marketing campaign, or creative product.
Assessment Methods
- Assignments: Prompt design exercises and tool-based tasks
- Project: Development of a final AI-driven application or presentation
- Reflections: Short write-ups on ethics, creativity, or use cases
- Participation: Discussions, demos, and peer feedback
Learning Outcomes
Upon completion, students will:
-Demonstrate proficiency in using generative AI tools
- Exhibit creative and analytical thinking through AI-supported work
- Understand and articulate the ethical dimensions of AI adoption
- Be able to apply AI tools in academic, research, or professional contexts
Credit and Duration
Credits: 2 or 3 (depending on university requirements)
Duration: 6 Months (one semester)
Format: Lectures, workshops, and lab sessions
Prerequisites: None (basic digital literacy recommended)