5-Day Workshop Schedule

Faculty Development Program on: Basics of AI, ML, DL, GenAI, and Prompt Engineering
Audience: All Engineering Department Faculty/Students
Format: Sessions with Concepts, tools and technologies overview

Day Time Module Session Details

Day1 10:00 AM to 10:30 Inauguration Opening remarks and
AM session overview
10:30 AM to 1:00 Introduction to AI • Definition, history, and
PM scope of AI
• Types of AI (Narrow,
General, Super)
• Applications across
engineering disciplines
• Tools: IBM Watson,
Microsoft Azure AI,
Google AI, OpenAI
Break 1:00 PM to 2:00 Lunch Break
PM
2:00 PM to 3:30 Basics of Machine • ML types: Supervised,
PM Learning Unsupervised,
Reinforcement
• ML lifecycle and
importance of data
• Tools: Scikit-learn,
MATLAB ML Toolbox,
RapidMiner, Amazon
SageMaker
Day2 10:00 AM to 1:00 Introduction to Deep • Neural networks: ANN
PM Learning structure and use cases
• DL vs ML
• Tools: TensorFlow,
Keras, PyTorch,
Teachable Machine
Break 1:00 PM to 2:00 Lunch Break
PM
2:00 PM to 3:30 Neural Network • Layers, activation
PM Components functions, loss functions
• CNNs, RNNs overview
• Tools: OpenCV,
NVIDIA SDK,
MATLAB DL Toolbox
Day3 10:00 AM to 1:00 Generative AI • Overview of GenAI
PM Concepts and applications
• Use cases: text, image,
audio
• Tools: ChatGPT,
 DALL·E, RunwayML,
Adobe Firefly
1:00 PM to 2:00 Lunch Break
PM
2:00 PM to 3:30 Understanding • Architecture: GPT,
PM LLMs BERT, LLaMA
• Applications in
academia and ethics
• Tools: OpenAI
Playground, Hugging
Face, Google Vertex AI
Day4 10:00 AM to 1:00 Prompt Engineering • Prompt types: zero-
PM shot, few-shot, CoT
• Effective prompt
design practices
• Tools: PromptLayer,
LangChain, FlowGPT,
ChatGPT
1:00 PM to 2:00 Lunch Break
PM
2:00 PM to 3:30 AI for Academia • AI in personalized
PM teaching, grading
• Research support tools
• Tools: Elicit, Scite AI,
Semantic Scholar,
Perplexity AI
Day5 10:00 AM to 1:00 Project guides  Identifying real-
PM helping students for world problems around
Mini & Capstone you
Project Ideas
Powered by AI
 Sample Project
Ideas:

 Civil: Crack
detection in
structures using
image
classification
 Mechanical:
Predictive
maintenance
using sensor
data
 ECE: Smart
traffic light
system using
AI models
 EEE: Load
 forecasting
with ML
 CSE/IT: AI-
powered
resume
analyzer or
smart chatbot

 Tips on selecting
feasible, impactful
projects
1:00 PM to 2:00 Lunch Break
PM
2:00 PM to 3:30 How to Integrate AI How to Integrate AI in
PM in Projects (Without Projects (Without Being
Being an Expert) an Expert)