AI/ML Experiential Learning - Break Through Tech AI UCLAAt — Break Through Tech AI UCLA
The Break Through Tech AI Program helps college women (trans and cis), nonbinary, and other underrepresented groups in tech gain the skills they need to get jobs in the fastest-growing areas of tech: data science, machine learning, and artificial intelligence.
Developed by industry and academic leaders, you will master the skills necessary to become a successful ML Engineer. We acknowledge the historic and systematic barriers for Black, Latina, Indigenous, low-income, first-generation, and other marginalized people in tech, and we value diversity, equity, and inclusion as integral to our mission. We’re here to make tomorrow’s technology safer and inclusive. But we need your participation to do it.
You are invited to join the AI Studio where you’ll work in teams to tackle business
challenges from leading companies.
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.
Students work with industry relevant tools to analyze real-world data sets, identifying patterns and relationships as you create robust data science projects. Once they
master the data science basics, students move on to using several common machine learning tools to approach real-world business problems, build their own ML models, train, and implement these in the most effective way.
Training:
Developed with industry leaders, our free program teaches students the skills to build AI solutions in real-world conditions; enables them to develop a portfolio of projects that demonstrate their capabilities; and provides career development and mentorship to help launch their careers.
Learning Outcomes:
\u25cf Apply the ML skills that you learned in your summer ML Engineering course
\u25cf Identify and dissect real-world business problems with real-world data and
evaluate the ways that they can be addressed using ML and AI
\u25cf Collaborate in small teams to develop, test, and iterate on solutions to business
problems using ML and AI
\u25cf Synthesize and convincingly present your solutions to industry experts
\u25cf Add artifacts to your portfolio demonstrating your capabilities and experience
\u25cf Build your network of peers and industry professionals who are collectively
invested in your career journey and outcomes.