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AI4ALL Ignite

Fall, Winter
Application Deadline
Twenty Weeks
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AI4ALL Ignite is a free online accelerator program where undergraduate students develop an AI portfolio project with mentorship from industry experts. Participants benefit from a student symposium to showcase their work, as well as comprehensive training in career readiness. By the end of the 20-week program, students are prepared to interview for technical AI internship opportunities.

The curriculum is uniquely designed for Black, Latinx/e, Indigenous, women, and non-binary college students, and consists of 2 required components:

  • Component 1: Artificial Intelligence/Machine Learning Portfolio Project, from September to December (13 weeks)
  • Component 2: AI Career Readiness Preparation, from January to February (8 weeks)


  • Remote


  • September through February (Components 1 & 2)


  • Free

Eligibility Requirements

Students must:

  • Be enrolled in a Bachelor’s and/or Associate’s program at a U.S. university
  • Be pursuing a major/minor related to Computer Science
  • Have basic programming skills in Python or other coding language
  • Have completed Probability & Statistics and Linear Algebra by the first day of the program


  • June 17: Priority Admissions Deadline (recommended)
  • August 19: Final Application Deadline

Application or Entry Requirements

  • Admissions are made on a rolling basis

Notifications of Decisions

Financial Aid Details

Other Dates to Keep in Mind

  • Certificates of completion are conferred in March

Have other questions?

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AI4ALL is a US-based nonprofit organization dedicated to increasing diversity and inclusion in AI education, research, development, and policy. Its educational programs are deeply rooted in research and continually tested and refined. Curricula are developed in-house by experts, reviewed by leading AI researchers and educators, and tested at AI institutions around the world. To date, AI4ALL has impacted over 10,000 people in all 50 states and around the world.

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Data Science
Computer Science
Fall, Winter
Grade Level
Remote/In person
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