Curated reading, tutorials, datasets and starter kits — most of it free, all of it open.
A staff-picked path from linear algebra to transformers.
Twelve short lessons from wheels to autonomous nav.
A production-shaped Python API scaffold.
5.2M rows, 220 nights, calibrated.
Curated problems by topic and year.
3-hour hands-on walkthrough by Prof. Iyer.
Most resources are public. Members get access to private mentor sessions, GPU quota and the Slack.
Absolutely — open a PR on our GitHub or email the maintainers.
We issue attendance and project completion certificates for bootcamps.
All datasets ship under CC-BY-4.0 unless otherwise stated.
