Activities CSE

Embracing Generative AI for Teaching Excellence

Faculty Development Programme

Title: “Embracing Generative AI for Teaching Excellence”
Duration: April 4 – April 9, 2025

Timing: 9:30AM to 4:30PM
Venue: Network Lab, CS&E Department, Proudhadevaraya Institute of Technology (PDIT), Hosapete

Day 1: Inauguration & Introduction to Generative AI

The FDP was inaugurated with great enthusiasm on April 4, 2025. The event began with a welcome address and lighting of the lamp, accompanied by a prayer to invoke blessings.
Prof. Malatesh Kamatar, Assistant Professor, CS&E Department anchored the event.

In the absence of the Chairman, Dr. Rohith U M, Principal of PDIT, delivered the Presidential Address, emphasizing AI's transformative potential in higher education.
Dr. Parvati Kadli, Vice-Principal & HOD, CS&E, introduced the event and gave context on the importance of the FDP.
Dr. Manjula S D, Dean of Academics, and Dr. Shiva Keshava Kumar, IQAC Coordinator were also present.

The keynote address was delivered by Mr. Abhilash G, Data Scientist, who provided an insightful session on:

The landscape of Artificial Intelligence
Transition from Traditional AI to Generative AI
Scope, capabilities, and ethical considerations of GenAI

First Session Highlights:

Participants gained clarity on foundational AI vs. GenAI
Understood sustainability, limitations, and future trends

Day 1 Assignment: Participants were asked to create comparison tables contrasting Traditional AI and Generative AI, reinforcing the day's learning outcomes.

Day 2: Summarization and Smart Question Paper Generation

Session 1: Introduction to Hugging Face models for text summarization
Participants worked with NLP tools and pre-trained models to summarize long-form academic content using simple prompts.

Session 2: Hands-on with OpenAI tools to build a Smart Question Paper Generator.
Educators were able to generate quizzes and exam papers based on topic-specific prompts, improving speed and contextual alignment with curriculum.

Day 3: Medical AI & Reverse Build Projects

Session 1: Real-time medical use-case – Participants worked on improving the GenAI_Based_Medicine_Assistant.py, refining conversational AI for medicine-related queries.

Session 2:

Reverse Build Project 1 – GenAI-based Email Curator: Teams built an AI that could summarize, sort, and highlight key emails in an academic setting.

Session 3:

Reverse Build Project 2 – GenAI-based Search Engine: Participants explored how to replicate intelligent academic search systems using GenAI frameworks.

Day 4: GenAI Resume Builder

This day focused on building AI-driven resumes using OpenAI prompts. Participants generated custom-tailored resumes and explored:

Content optimization using LLMs
Domain-specific skill suggestion
Formatting and export automation

The tool proved highly useful for both student placement cells and faculty development.

Day 5: GitHub Deployment, Cloud, and Valedictory

Session Highlights:

GitHub Essentials: Participants learned how to upload, version, and manage AI codebases.
AWS Deployment: A step-by-step live demonstration of deploying a GenAI application on AWS cloud was conducted. Participants followed along in real-time.

This session provided practical DevOps knowledge crucial for AI project scaling and sharing.

Valedictory Ceremony:
The session concluded with: