Credit-risk classifier
AI Foundations
Beginner to intermediate
Artificial Intelligence and Machine Learning Foundations
A complete first pass through machine learning, from data preparation to responsible deployment.
- Duration
- 12 weeks
- Level
- Beginner to intermediate
- Format
- Live online
- Next cohort
- 26 Aug 2026
Overview
What this program covers
Understand how modern AI actually works. Build regression, classification and clustering models, evaluate them honestly, and finish with a capstone you can explain in an interview.
Who it is for
- College students
- Working professionals
- Beginners with no AI background
Learning outcomes
- Prepare and engineer features from raw data
- Build and evaluate core ML models
- Understand neural networks and NLP basics
- Apply responsible AI principles
Curriculum
Week-by-week curriculum
Every module pairs a live teaching session with a guided lab and a reviewed deliverable you keep in your portfolio.
Modules
12
Live teaching hours
36 hrs
Guided lab hours
48 hrs
Tools and technologies
Python
scikit-learn
Pandas
NumPy
Jupyter
GitHub
Skills you gain
Machine learning
Feature engineering
Model evaluation
Responsible AI
Projects
What you will build
Sample projects from this program. Your capstone can be adapted to your own domain.
Customer segmentation study
Text-classification prototype
Cohorts
Upcoming batches
Open
26 Aug 2026
Weekends, 2 live sessions per week (IST evenings)
Seats12 of 30 left
Open
7 Oct 2026
Weekday evenings, 3 live sessions per week (IST)
Seats26 of 30 left
Mentors
Who teaches this program
MB
Madhur Bansal
Lead Data Scientist
Financial services group
Demo mentor profile. Works on production machine-learning systems and model monitoring, with a focus on teaching evaluation discipline.
Machine learning
MLOps
Forecasting
- Experience
- 10 years
- Programs
- 2
Teaches: Advanced Machine Learning and Deep Learning, Artificial Intelligence and Machine Learning Foundations
View profileLearner feedback
What past learners say
Demo content. Starting from zero, the structured path meant I always knew what to do next.
I joined with no coding background. The mentor-led weekends and the capstone gave me a portfolio I could actually show in interviews — I received my first analyst offer within a quarter.