Syllabus

Title
2286 Generative AI
Instructors
Sumon Chaudhuri, PhD
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
10/04/24 to 10/08/24
Registration via LPIS
Notes to the course
This class is only offered in winter semesters.
Subject(s) Master Programs
Dates
Day Date Time Room
Thursday 01/09/25 08:30 AM - 01:00 PM TC.5.02
Thursday 01/16/25 08:30 AM - 01:00 PM TC.5.02
Thursday 01/23/25 08:30 AM - 01:00 PM TC.5.02
Monday 01/27/25 08:30 AM - 01:00 PM TC.5.02
Thursday 01/30/25 08:30 AM - 01:00 PM TC.5.02
Contents

Generative AI (Gen-AI) is revolutionizing productivity by swiftly generating tailored text and images for various business needs. In today's fast-paced business landscape, proficiency in Gen-AI tools can set you apart, making project execution more efficient. 

This course is designed to immerse students in the practical application of Gen-AI, with a strong focus on case studies and hands-on workshops. Through a series of real-world examples and interactive sessions, students will explore how Gen-AI tools like ChatGPT and DALL-E can be effectively utilized. They will learn to apply these tools in diverse tasks such as crafting detailed reports, creating innovative content, and developing programs. Participants will engage in workshops that simulate real business scenarios, providing a deeper understanding of how to integrate Gen-AI into everyday workflows. The course will also cover the limitations of Gen-AI, best practices for its use, and ethical considerations to ensure responsible implementation in professional settings.

By the end of the course, students will have a robust, practical understanding of Gen-AI to confidently apply these tools in their careers.

Learning outcomes

Students will learn:

1. How does Gen-AI work from an applied perspective

2. How to engineer prompts that can maximize the output of Gen-AI tools.

3. How they can use Gen-AI to streamline tasks like report generation.

4. How they can use Gen-AI to generate images and text for practical business use-cases (like creating advertisements)

5. How they can generate computer programs using Gen-AI even with limited programming knowledge.

6. What are the limitations of Gen-AI

7. How they should use Gen-AI in a responsible and ethical manner

Attendance requirements

100 % is required

Teaching/learning method(s)
  • Instructions by trainer
  • Practical workshops on Gen-AI tools (like ChatGPT and Dall-e)
  • Assignments (individual and group)
  • Case studies
  • Python lab sessions using Gen-AI
Assessment

30% : Report generation assignment

35% : Case study assignment

35% : Final exam

Readings

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Last edited: 2024-07-22



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