North Brunswick, NJ
Oct 25, 2020 - Dec 13, 2020
Girls in AI presents a project-based curriculum to teach students the fundamentals of data science and artificial intelligence using Python, associated libraries, and Microsoft Azure ML Studio. Each week, students will get the chance to meet amazing female role models in tech, learn about applying AI to drive change in the world, and learn in an exciting and welcoming environment.
Provided by Abinaya and Kean University

Program Dates & Times

Girls in AI will happen every Sunday from October 25 to December 13, with a total of 8 sessions. Each session will be approximately 2 hours long, from 11 am to 1 pm, with optional 30 minute office hours before or after. Dates and times may be subject to change. 


9th Grade
10th Grade
11th Grade
12th Grade



More About the Program

Girls in AI is an intermediate level program, building upon concepts of artificial intelligence and data science. A basic understanding of coding is recommended, and we will mainly be coding in Python for the duration of the camp. Some tools we will be using are Jupyter Notebooks and Microsoft Azure ML Studio; more info about downloading/working with these will be sent before the camp begins. For any other questions, check out our website, or email for help. 

For more information, contact Abinaya.


Week 1:

  • Keynote Speaker
  • Icebreakers
  • Intro to program (go over curriculum and events for next 7 weeks)
  • Applications of ML

Week 2:

  • Intro to ML (high-level overview of a skeleton model)
  • In-depth analysis of ML flow (going into each step and seeing their importance)
  • Review of Python and intro to Python libraries

Week 3: 

  •  Begin programmatically deploying steps 1-3 of the skeleton machine learning model

Week 4:

  • Keynote speaker
  • Evaluation of 6 different machine learning models and scenarios for when to use each
  • Use this knowledge to programmatically deploy steps 4-6 of the skeleton model

Week 5:

  • May be subject to change
  • Introduction to APIs and external packages
  • In-depth tutorial and applications to increase comfortability working with various artificial intelligence tools (Natural Language Processing, Computer Vision)
  • Introduce capstone project

Week 6: 

  • Reiterate workflow pipeline
  • Go over capstone project guidelines
  • Split into teams and begin brainstorming project ideas
    • can begin collecting data or slideshow

Week 7:

  • Workshop: 'How to craft a pitch deck'
  • Time with team and mentors to continue working on their projects

Week 8:

  • Keynote Speaker
  • Student Presentations
  • Closing Ceremony




Register for Girls in AI !

Student Information
Parent/Guardian Information
Optional Parent/Guardian Information