Break Through Tech AI FellowAt — Break Through Tech AI
Based on your unique skills and interests, we’ll match you with a relevant project where you will work with large-scale, real-world datasets to train, test, and evaluate machine learning models to make predictions. Guided by academic and industry advisors, you’ll present your solutions to people experts in the field. All projects will result in technical artifacts that you can add to your portfolio that will serve as a “credential” to show future employers what you can do. You can expect to spend about 5 hours per week developing your project. The majority of the work can be completed virtually, with the exception of Maker Days, which occur synchronously and on-campus at University of California, Los Angeles.
● Apply the ML skills that you learned in your summer ML Engineering course ● Identify and dissect real-world business problems with real-world data and evaluate the ways that they can be addressed using ML and AI ● Collaborate in small teams to develop, test, and iterate on solutions to business problems using ML and AI ● Synthesize and convincingly present your solutions to industry experts ● Add artifacts to your portfolio demonstrating your capabilities and experience ● Build your network of peers and industry professionals who are collectively invested in your career journey and outcomes.
Machine Learning Foundations Course, guidance on how to work in groups on industry projects.
| Type | Frequency | Amount | Explanation | Show to students? |
|---|---|---|---|---|
| Stipend | scheduled | $2000 | Yes |
Student has already been accepted to the program.
| Hours | Duration |
|---|---|
| 5 | hours per week |