Event Report
Title of the Program
Five Days Faculty Development Program on “Innovative AI and the Science of Prompt Engineering”
Organized By
Department of Computer Science and Business Systems (CSBS)
Under Institutions Innovation Council (IIC) – 8.0
Jeppiaar Institute of Technology
Event Coordinator
Mr. B. Yuvaraj, ME, MBA (Ph.D.)
Duration
From 09.02.2026 to 13.02.2026 (Five Days)
Mode of Conduct
Offline: 10:00 AM – 12:00 PM
Online: 6:00 PM – 7:00 PM
Venue
Offline: Jeppiaar Institute of Technology
Online: Google Meet

Resource Persons & Session Details
Day 01 (Offline)
Topic: Fundamentals of Artificial Intelligence
Resource Person: Mr. Tamizharasan E
Technical Youth Trainer, Magic Bus India Foundation
Day 02 (Offline)
Topic: Generative AI and Large Language Models (LLMs)
Resource Person: Ms. Sowmiya V
Technical Youth Trainer, Magic Bus India Foundation

Day 03 (Online)
Topic: Machine Learning and Types of Machine Learning
Resource Person: Mr. Santhosh Kumar K
Technical Youth Trainer, Magic Bus India Foundation
Day 04 (Online)
Topic: Deep Learning and Natural Language Processing
Resource Person: Ms. Josephine S
Life Skills Trainer, Magic Bus India Foundation
Day 05 (Online)
Topic: Prompt Engineering
Resource Person: Ms. Reshma R
Life Skills Trainer, Magic Bus India Foundation

Objective of the Program
The primary objective of the Faculty Development Program was to enhance faculty knowledge and skills in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, and Prompt Engineering, enabling them to integrate innovative AI practices into teaching, research, and academic activities.

Summary of the Program
The Department of Computer Science and Business Systems successfully organized a Five Days Faculty Development Program on “Innovative AI and the Science of Prompt Engineering” under the banner of IIC 8.0, in collaboration with Magic Bus India Foundation.
The program commenced with an offline session on the Fundamentals of Artificial Intelligence, providing participants with a strong conceptual foundation. The second day focused on Generative AI and Large Language Models, offering insights into emerging AI technologies and real-world applications.
The online sessions covered advanced topics such as Machine Learning techniques, Deep Learning, Natural Language Processing, and Prompt Engineering. The resource persons explained concepts with practical examples, demonstrations, and interactive discussions. Participants actively engaged in the sessions and clarified their doubts related to AI tools and methodologies.

Outcomes of the Program
Enhanced faculty understanding of AI, ML, DL, NLP, and Prompt Engineering
Improved awareness of Generative AI and LLM-based applications
Exposure to innovative teaching and learning methodologies
Strengthened industry–academia interaction through expert sessions