Machine Learning Algorithms & Model Building Using Python & AI
A 3-day, hands-on online workshop taking you from ML fundamentals to a complete end-to-end project — with AI-assisted coding built into every session.
# 3-day online workshop import pandas as pd from sklearn import model_selection learner = Participant(name="You") learner.join(dates="11-13 Aug 2026", mode="Zoom") learner.build_model()
Machine learning is now a core skill, not a niche one
Every industry from finance to healthcare now runs on data-driven decisions, and ML + AI-assisted coding is quickly becoming as fundamental as spreadsheets once were. This workshop is built to take you from theory to a working model in just three sessions, using the same tools and AI-assisted workflow that practitioners use today.
High industry demand
ML and data skills are among the most sought-after across tech, research, and analytics roles today.
Learn the AI-assisted workflow
See how AI tools are actually used to write, debug, and speed up ML code — not just the algorithms alone.
Hands-on, not just theory
Every concept is paired with practical Python implementation, so you leave with working code, not just notes.
Direct academic mentorship
Learn from Dr. Shanti Verma, Director at LIMCA, GTU — with room for live Q&A across all three days.
Built for beginners, useful for anyone working with data
No prior ML experience required — just basic familiarity with Python or a willingness to learn along the way.
UG & PG Students
Any discipline, especially CS, IT, Data Science, Statistics & Commerce
Research Scholars
Looking to apply ML in academic or applied research
Faculty Members
Wanting to teach or guide projects in ML and AI
Working Professionals
From IT, analytics, or any field looking to upskill in ML
Learn directly from an academic leader
Dr. Shanti Verma
Gujarat Technological University, Ahmedabad
What you'll cover, day by day
Each session runs 7:00 – 8:30 PM IST, building directly on the day before.
ML Fundamentals & Data Preparation
Machine Learning Algorithms
Model Optimization & Mini Project
What you'll walk away able to do
# by the end of Day 3, you will be able to: assert learner.explains("AI vs ML vs DL and the ML workflow") assert learner.cleans("real-world datasets with Pandas & NumPy") assert learner.builds("regression & classification models") assert learner.evaluates("models using Accuracy, F1, RMSE, R²") assert learner.tunes("models via Cross Validation & Grid/Random Search") assert learner.uses("AI tools to write, debug & explain ML code") assert learner.completes("one end-to-end ML mini project")
Certificate & session recordings will be provided to every registered participant after the workshop concludes.
Reserve your seat
Choose the option that matches where you're joining from.
Seats are confirmed on a first-come, first-served basis. Zoom link will be shared after registration.