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Program Alumni
Fast-track your knowledge
Our high-intensity program compresses months of study into weeks of immersive, cohort-based learning, designed for working technologists.
Superb peers and curriculum
Our curriculum is a tour de force of knowledge compression: optimally sequenced for maximum efficiency. We've spent thousands of hours designing the straightest path to building frontier ML skills. Instead of organizing a self-study plan, you can trust us to guide you.
Our curriculum carefully blends fundamental theory with cutting-edge techniques. You will leave equipped to solve real-world problems and withstand the rapid change of the field.
After being accepted into the program, you'll accelerate through project-based coursework alongside other experienced peers.
After completion, you'll be able to:
Explain with technical precision the training and inference processes of various ML models and algorithms, including LLMs like ChatGPT.
Recognize which problems can be solved using machine learning, and compare the benefits and drawbacks of different approaches.
Use Retrieval-Augmented Generation (RAG) to dynamically integrate external knowledge into model inference.
Apply Prompt Engineering techniques to systematically guide Large Language Models for maximum performance.
Build intelligent agents on top of Large Language Models that can provide context-aware responses and take real-world action.
Apply Transfer Learning and Fine-Tuning methods to make general-purpose models work more effectively for specific tasks.
Contribute to end-to-end model development: from data cleaning and feature engineering to training, evaluation, and deployment.
Understand and experiment with various neural network architectures (e.g., GANs, Transformers, CNNs, and AEs) to solve different problems.
Upcoming cohorts
Seats in our cohorts are offered on a "first come, first serve" basis.
| Cohort | Modality | Status |
|---|---|---|
| Jan 06 - Jan 17 | Full-Time | Enrolling |
| Jan 31 - Feb 22 | Nights & Weekends | Enrolling |
Program Modalities
We offer full and part-time options.
BNights & Weekends (4 Weeks)
Online Only
Fri/Sat, 7:30am - 6pm (PT)Wed, 3:30pm - 6pm (PT)View full schedule â–¾
The class consists of pair programming sessions, live lectures, group discussions, guest speakers, and more. Lectures are led in a didactic format where student engagement is not just encouaraged, but necessary. During class hours, a help desk provides on-demand support if you get stuck.
Due to the intensity of the course, we require you to be fully present during class hours, including taking the necessary time off work.