Build a strong foundation in Python, statistics, and core ML algorithms
Course Fee
Duration
Modules
Instructor-Led
Build and deploy a complete ML model with dataset preparation, training pipeline, evaluation dashboard, and API-based deployment. Example projects include a loan default predictor or image classifier.
Basic programming knowledge is helpful but not mandatory. We start from Python fundamentals and build up gradually.
Approximately 4 hours of live sessions plus 2-3 hours of self-study and assignments.
Yes! Every module includes practical exercises and projects. You'll work with real datasets throughout.
This course builds a strong foundation. For production-ready ML skills, we recommend following up with our Applied AI program.
EMI options available
All learners get priority access to mock interviews and career support.