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Training the Machine

February workshop

Join us for an exciting workshop designed just for girls aged 8-17. Whether they’re brand new to coding or eager to level up their skills.

Workshop Overview

In celebration of Black History Month, this workshop invites students to explore how diversity, culture, and representation influence the technologies shaping our world today. Students learn that Artificial Intelligence is not neutral—it reflects the data it is trained on—and that inclusive data leads to smarter, fairer, and more accurate AI systems. Through hands-on learning and real-world examples, learners discover how machines recognize faces, emotions, and language, and why it is important that all communities are represented in the digital future. In the Beginner Track, students train an emotion-recognition AI model using images and expressions, gaining firsthand experience in how data quality and diversity affect machine learning outcomes, while in the Advanced Track, students design the personality, purpose, and conversation flow of a chatbot using prompt engineering and blueprint planning, laying the foundation for building intelligent, responsible, and user-friendly AI systems in future workshops.

This workshop is FREE, and all learning materials are provided.

Beginner Track – AI & Data Training

Theme: Learning Through Data

Students dive deeper into AI training by creating a more sophisticated emotion-detection model. They learn the critical concept that AI learns from data — the more examples you give it, the smarter it becomes. Students explore what makes good data vs. bad data and understand why diversity in training examples matters. The session focuses on building a 3–4 class emotion recognition model (Happy, Sad, Surprised, and optionally Angry).

 

Space is limited Register now

CURRENT DATES FOR THIS WORKSHOP

START DATE :
February 21, 2026
  • Vancouver
Register
START DATE :
February 28, 2026
  • Windsor
Register

About us

Black Kids Code (Girls) is committed to developing a generation of young girls who see success in technology careers as an option not an impossibility.

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