AI and Machine Learning Masterclass at IIIT Delhi
Build a strong foundation in artificial intelligence and machine learning
This masterclass is designed for students, professionals, tech enthusiasts, and aspiring data scientists who want to dive into the world of artificial intelligence and machine learning.
You’ll learn core concepts, real-life applications, and get hands-on with ML workflows – even if you’re just starting out. Whether you’re from a coding, non-coding, or business background, this workshop will help you make sense of AI and ML in a practical, beginner-friendly way.
This workshop is for:
1) Students and graduates exploring careers in AI/ML
2) Non-tech professionals curious about how AI works
3) Aspiring data scientists wanting hands-on experience
4) Educators and trainers looking to adopt AI tools
5) Working professionals aiming to apply ML in their field
6) Anyone eager to understand AI’s real-world impact
What You’ll Learn
Audience Introduction
Timing: 10:30 a.m. – 11:00 a.m.
Welcome and expectations
AI/ML landscape overview
Real-world impact of machine learning
Understanding AI and ML Fundamentals
Module 1
Timing (11:00 a.m. to 1:00 p.m.)
Start with core concepts and how machines learn from data.
Topics Covered
* What is AI and ML?
Definitions, differences, and real-life applications
* Supervised vs Unsupervised Learning
Use cases, examples, and simplified explanation
* Workflow of a Machine Learning Model
Data -> Training -> Evaluation -> Prediction
* Common ML Algorithms (explained simply)
Linear regression, classification, clustering
Skills Acquired
* AI and ML conceptual clarity
* Data-driven thinking
* Model building mindset
* Application awareness
Tools and Techniques in Machine Learning
Module 2
Timing (2:00 p.m. to 3:30 p.m.)
Get familiar with tools used to build and experiment with AI and ML.
Topics Covered
* Hands-on with Google Teachable Machine
Create a basic ML model in minutes
* Intro to Python and Scikit-learn
Beginner-friendly ML Libraries
* Role of Data in Machine Learning
Collecting, cleaning, and splitting datasets
* Responsible AI
Bias, fairness, and ethical use of data
Skills Acquired
* Tool-based learning
* Awareness of Python ML libraries
* Responsible AI principles
* Understanding ML pipelines
Mini Project and AI Career Insights
Module 3
Timing (3:30 p.m. to 05:30 p.m.)
Apply what you’ve learned and plan your next steps in the AI/ML journey.
Topics Covered
* ML Mini Project (live activity)
Build a model using Google Teachable Machine or Scikit-learn
* How to Learn AI/ML Further
Certification paths, courses, online platforms
* AI Career Roles and Salary Trends
Data analyst, ML engineer, AI consultant
* What’s Next in AI?
GenAI, LLMs, AI in your field
Skills Acquired
* Hands-on ML model creation
* Career mapping in AI/ML
* Project presentation and teamwork
* Clarity on next steps
Event Venue
Indraprastha Institute: Delhi, Okhla Industrial Estate, Phase III, Okhla Industrial Estate, New Delhi, Near Govind Puri Metro Station, Shyam Nagar, Delhi, NCR 110020, India
INR 2999
