AI Discovery
Externship
March 15 – April 5, 2025 · An immersive, hands-on AI experience for Inwood Early College students in New York City.
Read SummaryView Results
100%
59.5% → 75.5%
4.9/5
Program Overview
We extend our heartfelt gratitude to Inwood Early College for Health and Information Technologies for entrusting us with the opportunity to guide and assess the promising AI specialists from your program. The partnership with your school has been invaluable, and the caliber of students speaks volumes about the quality of education and mentorship they receive under your guidance.
Every participant who has been awarded the AI Discovery Externship Badge has successfully navigated the intricate landscape of artificial intelligence, contributing to a holistic learning environment. These students have absorbed vital knowledge on leveraging AI technologies and honed their problem-solving skills in collaborative settings. The skills and experiences gained from this program are foundational stepping stones to help them pursue excellence in their future endeavors.
Program Highlights
This intensive four-week immersion thrust students into the world of AI.
Students discovered how autonomous AI systems operate and make decisions.
Students built functional conversational AI interfaces using current platforms.
Used Google Lens to document local species and Gemini to generate ecological reports.
Teams built and presented functional AI systems for image recognition.
100% Attendance
20 total students attended every session throughout the program.
Assessment Data
The pre-assessment results indicated an average starting proficiency of 59.5%. Following the completion of the curriculum, the post-assessment average increased to 75.5%.
SEL Data
Our SEL scores, which range from 0 (no evidence) to 4 (advanced proficiency), provide insights into students' strengths and areas for growth. These insights are crucial for tailoring educational strategies to foster a supportive learning environment.
4.9/5 Quality of Program
5/5 Work ED Staff Quality
Program Staff
Ben Crenshaw
Head of AI Education
Marcus Byers
Lead AI Instructor
Akeeme Black
AI Instructor
Thomas Tsangou
AI Instructor
Maria Yagual
Program Coordinator
Francis Lau
Program Coordinator
Jodestee Jn Francois
AI Instructor
Educational Impact
Up to six specialized digital badges that students can showcase on college applications and professional profiles
Professional portfolio development utilizing AI tools
Pre & post-assessments demonstrating measurable skill acquisition
AI training that developed critical skills transferable to any career path
Earned Badges
Machine Learning
AI Discovery
Generative AI
Chatbot
Coding with AI
AI Hack-a-thon
Hear From Our
Instructor
This program has been nothing short of inspiring. Watching students dive into challenges, think creatively, and collaborate with such energy was a joy to witness. Each session brought new discoveries and growth. I'm thankful for the meaningful moments and shared enthusiasm that made this experience so impactful.
Ben Crenshaw
Head of AI Education · Work ED
LinkedIn
Throughout this program, students progressed from basic AI concepts to creating working applications, developing both technical skills and professional abilities essential for careers in artificial intelligence.