About This Info Session

Info sessions are virtual and roughly 45 minutes. We recommend this event for students that are interested in participating in AI4ALL Ignite and/or administrators and faculty or any individuals that want to learn of general information including the curriculum overview at a high-level, admissions process, and eligibility requirements.s.

***FYI: The Zoom link for the Info Session will be sent to you via email from Eventbrite. Keep an eye on your inbox for an email from them. Eventbrite also sends reminder emails before the session with the link.

What Is AI4ALL Ignite?

AI4ALL Ignite is a no-cost virtual career accelerator program that trains college students enrolled in Computer Science, Data Science and related majors for the in-demand career readiness skills, responsible AI acumen, and technical knowledge that interested students will need to land technical internships, research opportunities, and entry level jobs in the Artificial Intelligence (AI) Industry. Students will work on:

• Disscusions on responsible and ethical AI topics like responsible AI, data sourcing + visualization, machine learning methods, bias mitigation, project management, Github & more.

• A technical AI portfolio project in a real-world topic of choice in collaboration with peers and AI professionals.

• Technical interview prep plus additional AI career readiness prep including a virtual symposium.

Why Apply?

• Be fully prepared to answer AI technical questions in an interview & achieve an AI4ALL Certificate of Completion

• Meaningful opportunities to connect with individuals recruiting for AI internship & research positions

• Present AI technical project at virtual symposium attended by peers, industry experts, and sponsors

• Gain access to a community of AI4ALL trained peers and alumni already working in the AI industry

How AI4ALL Ignite Works

To learn more about the accelerator, and how to apply - please visit our website.

Application & Eligibility

• Enrollment in Bachelor’s or Associate’s degree program at U.S. college/university.

• Pursuing major/minor related to Computer Science, Data Science, or similar.

• Basic programming skills in Python (e.g. CS1) or other coding language.

• Completed Probability & Statistics, Linear Algebra by first day of program.