The AWS AI & ML Scholarship program, in collaboration with Udacity, is an AI/ML-focused scholarship program providing 2,500 Udacity nanodegree scholarships annually, as well as a mentorship program, to students that identify as underserved or underrepresented in technology. The program aims to make the future tech workforce more diverse by removing financial barriers, providing skills training for a career in tech, and offering mentorship support.
The AWS AI & ML Scholarship program uses a free, student-only version of AWS DeepRacer to prequalify participants for the scholarship application. The prerequisites teach students general knowledge on ML, by creating a reinforcement learning model that can achieve a benchmark lap time around a race track. AWS DeepRacer Student provides free learning content, assessments, and the ability to compete in the AWS DeepRacer Student League that helps students learn the skills needed to complete prerequisites.
Benefits
The scholarship covers full tuition for Udacity’s Nanodegree program. At each stage you will gain AI knowledge and receive coaching from professionals. The program is designed to help anyone get started with Machine Learning (ML) with no prior technical knowledge required.
Requirements
- Any student over the age of 16 that self identifies as underserved or underrepresented in technology, and is currently enrolled in high school or college, may apply (subject to terms and conditions on Udacity).
- No prior knowledge in machine learning, computer science, or car racing is needed. This program is designed to help anyone get started with ML through the engaging concept of racing.
Selection Process
| AWS AI & ML Scholarship Event | Start Date | End Date |
| Applications Open – First Cohort | 2/1/2024 | 5/31/2024 |
| Application Open – Second Cohort | 6/1/2024 | 9/30/2024 |
| Udacity NanoDegree 1 – First Cohort (1000 students) | 6/19/2024 | 10/18/2024 |
| Udacity NanoDegree 1 – Second Cohort (1000 students) | 10/16/2024 | 2/14/2025 |
| Udacity NanoDegree 2 – Combined Cohorts (500 Students) | 5/5/2025 | 10/6/2025 |
Method of Application
Click Here to Apply
For More Information,
Application Deadline: September 30, 2024.