From raw data to deployed AI — in 16 weeks.
A hands-on, project-based data science training course covering Python, statistics, machine learning, and MLOps — built for career switchers and working professionals who learn best by doing.
16
Weeks
8
Hands-on projects
24
Avg. cohort size
100%
Job-ready curriculum
How it works
Three phases, one outcome — you go from zero to a portfolio of shipped ML products.
Pick your track
Self-paced for flexibility or a live cohort for structure and accountability.
Build real projects
Ship 8 hands-on projects using real datasets. No toy examples — only production-grade work.
Land the role
Portfolio review, mock interviews, and job search support until you get the offer.
Built for results, not just certificates
Designed by practitioners who have hired, trained, and shipped alongside the people they teach.
Project-based learning
Every module ends with a real dataset and a real deliverable — no toy examples, no busywork.
Live mentor feedback
Get your code, models, and portfolio reviewed by working data scientists, not just an autograder.
Built for busy schedules
Self-paced and cohort tracks so you can learn around a full-time job or other commitments.
Career support included
Resume reviews, mock interviews, and a portfolio site by the time you finish the capstone.
5 modules.
8 projects.
1 career.
Every module is taught by a practitioner and ends with a real deliverable you can show in interviews.
See Full CurriculumPython & Data
Statistics
Machine Learning
Deep Learning
MLOps & Capstone
Ready to start building?
Join the next cohort or start self-paced today. Seats are limited and fill fast.