Bootstrap:AI Workshop

Location: Virtual - Zoom link will be emailed to registered participants
Date: July 8th-10th
Time: 11am-5pm ET / 8am-2pm PT
Cost: $150 before June 8th, $225 before July 1st

Registration

Applications are open to all middle and high school teachers, but spots are limited. Apply now! The application deadline is July 1st.

Whom is this for?

BS:AI integrates seamlessly into Data Science or Computer Science courses, and Math teachers will find lessons and activities that map directly onto their existing scope and sequence. This training is geared toward any teacher who wants to learn more about how AI works, and equip their students with in-demand knowledge and skills. Those with experience teaching Bootstrap will appreciate the familiar lesson structure, student materials, and interactive Pyret starter files. Those who are new to Bootstrap: no programming experience is required! All are welcome.

What is Bootstrap:AI?

BS:AI invites students to take a look behind the curtain. Students explore decision trees, regression, statistical language models, and more, gaining a concrete understanding of AI through applications. By using programming tools and activities carefully designed to build upon existing middle- and high-school concepts (plotting points on a coordinate plane, measuring angles, computing probability, etc), the course puts these rigorous topics within reach even for those with no prior programming experience and a roughly 8th grade understanding of math! BS:AI will pique your students' curiosity, possibly inspiring them to pursue degrees and careers in AI, or create the next innovation in the field.

The series of modules can be taught as a unit in a Data Science or Computer Science course or interspersed throughout the semester or year.

What will the workshop include?

In this workshop, attendees will go through the curriculum as a student with the support and guidance from the facilitators. By using the Pyret programming environment and other tools, they will cultivate a solid understanding of machine learning methods, the driving force behind all modern AI (including but not limited to recommendation algorithms, automated steering, and text generation).

The facilitators will also provide proven classroom strategies and supplements.

What do teachers need to have at the training?