Dive into Deep Learning
without prior AI/ML experience & with a qualified mentor
We provide a "portal" into a network of deep learning specialists for motivated undergraduate students who are brand new to AI/ML,
welcoming disadvantaged students from all backgrounds.
Coming in Spring 2024!
ABOUT

About

If you are a college student who has taken computer science courses and know how to program in Python, and now you want to learn about AI/ML but don't have any prior experience and don't know where to begin — then the Deep Learning Portal program is for you!

Our goal is to help students ramp up quickly in deep learning without having to tackle loads of prerequisite materials beforehand, which can be intimidating and pose a high barrier to entry. Students dive straight into deep learning with close guidance from one of our qualified mentors.

We welcome applicants from all backgrounds, including but not limited to low-income students, first-generation students, and students who have overcome unique personal hardships in life. Our application provides an opportunity for students to tell us about their own unique story.

The Deep Learning Portal program consists of three core components:

Course Assistance

Our qualified mentors closely guide students through a foundational deep learning course (Deep Learning Specialization on Coursera), helping to fill knowledge gaps on the fly and assisting with course concepts.

General Advising

We host informal fireside chats with special guests and hold open AMA-style office hours for students seeking general guidance on their academic career in deep learning and beyond.

Deep Learning Network

Our program connects students with competent deep learning specialists and establishes a community of motivated fellow students from a diverse range of backgrounds.

Team

Click each individual's photo for more information.

Moo Jin Kim

Founder, Director, Mentor

Stanford CS PhD Student

Chelsea Finn

Faculty Advisor

Stanford CS/EE Assistant Professor

Percy Liang

Faculty Advisor

Stanford CS Associate Professor

Breauna Spencer

Program Advisor

Stanford CS Director of DEI

Ahmed Ahmed

Strategic Advisor

Stanford CS PhD Student

Steven Cao

Mentor

Stanford CS PhD Student

Maximilian Du

Mentor

Stanford CS Undergrad

Swastika Dutta

Mentor

Stanford CS MS Graduate

Irena Gao

Mentor

Stanford CS PhD Student

Tian Gao

Mentor

Stanford CS PhD Student

Rohith Kuditipudi

Mentor

Stanford CS PhD Student

Alec Lessing

Mentor

Stanford CS MS Student

Lisa Li

Mentor

Stanford CS PhD Student

Ken Liu

Mentor

Stanford CS PhD Student

Max Sobol Mark

Mentor

Stanford CS MS Student

Program Timeline

Key events in the program are shown below.

  • Student Applications Open

    Students from select universities apply to our program, submitting application materials such as resume/CV, transcript, background questionnaire, and personal statement.

  • Review of Applications &
    Student-Mentor Matching

    Students who are accepted into the program are matched with one of the mentors, who will serve as the primary contact throughout the program.

  • Deep Learning Coursework &
    Program Activities

    Students complete a foundational deep learning course with close guidance from mentors. We also host activities, such as fireside chats, open office hours, and guest talks.

  • Program Completion

    Students are suggested next steps to continue their careers in deep learning after the program. Fellow students optionally stay in contact past program completion through a close-knit alumni network.

Apply

If you are an undergraduate computer science student who is interested in joining the Spring 2024 cohort as a student and being matched with a qualified mentor, please click "Apply Now!" below and fill out the student application form.

Contact Us

Have any questions? Feel free to email us at deeplearningportal at gmail dot com.