Become a Top 1% AI Builder in 4 Weeks

We built the program for professional software engineers who want to pick up ML. The typical applicant has several years of software engineering experience, though applicants from nearby disciplines (e.g. product managers, data scientists, hardware engineers, researchers) are also welcome and have had success with us.

The program operates in two modalities: part-time online and full-time in-person (SF and NYC). We only run a few in-person sessions per year.

The majority of alumni return to their engineering jobs with a newfound capacity to contribute to AI/ML initiatives at their company. Others go on to work at AI companies in SWE roles, and in some cases, continue their studies to recruit for dedicated machine learning roles.

Our goal is to launch you into the equivalent of Low Earth Orbit by accelerating you through the thickest layers of the machine learning atmosphere. As the spaceflight adage goes, "if you can get your ship into orbit, you're halfway to anywhere." After completing our program, the possibilities are endless.

Our 4-week program is intensive. Expect to dedicate ~25 hours per week, including live sessions, project work, and self-study.

Our 2-week program is full-time plus. you can expect to spend ~50 hours per week.

During your intro call, we will share upcoming cohorts dates and availability.

The program fee is $6,800 USD. Many students receive some assistance from their employer to cover the cost of the program.

For those paying out of pocket, we offer flexible financing via Klarna (subject to a soft credit check), which offers payments as low as ~$320/mo.

We've carefully distilled the essential AI/ML knowledge needed to become a productive contributor. Our focused curriculum provides the most efficient path to machine learning competency, unlike other resources that often lack structure and industry applicability.

Our alumni consistently highlight four key benefits: (1) avoiding the common pitfalls of self-study, (2) collaborating with ambitious peers, (3) accessing on-demand, expert instructor support, and (4) building real-world projects that go beyond typical sandbox assignments.

Fun fact: Nearly all of our alumni tried free courses before enrolling and reported making exponentially more progress per unit of study hour with us.