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Academy for Machine Learning

Computer Science
Engineering
Leadership

University of Texas at Austin

Austin, TX1 weekDeadline passed

The Academy for Machine Learning is a one-week residential summer program hosted by the Department of Computer Science at the University of Texas at Austin, open to students in grades 10 to 12. Through hands-on projects and mentorship from UT faculty, participants use Python to train and test their own machine learning models while exploring the ethical and social impacts of artificial intelligence. The program runs three sessions in summer 2026, with one session designed for students who already have coding experience and two sessions welcoming all skill levels. At $2,100 per session, it is a selective and immersive opportunity for students serious about pursuing computer science and AI.

Visit cs.utexas.edu

Skills You'll Build

Programming

Writing code to build software, automate tasks, or bring an idea to life on a screen.

Machine Learning

Training computer models to recognize patterns and make predictions from data.

Problem Solving

Breaking down a challenge and working through it methodically to a solution.

Project Management

Planning tasks, timelines, and resources to get a project done on schedule.

Team Leadership

Guiding a group toward a shared goal and keeping everyone moving together.

Critical Thinking

Evaluating information carefully before drawing a conclusion or making a decision.

Related Careers

Machine Learning Engineer

Students train their own ML models and explore core AI concepts directly relevant to the role.

Software Engineer

Hands-on Python programming and coding projects form the core of the week-long curriculum.

Data Scientist

Students implement ML concepts, test model performance, and analyze data through practical projects.

University Professor

Learning from UT faculty in an academic setting introduces research and higher education career paths.

Quick Facts

Grade Levels
10th - 12th
Format
In-Person
Time Commitment
Full-time, 1 week
Competitiveness
Open Enrollment
Best For
Aspiring machine learning engineers

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