The Code
Behind AI
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Join Data Science - The AI Journey from July 6 – 31, 2026. In just one summer, you’ll gain the skills and confidence to pursue a future in Data Science and AI. Master the Python code that powers AI as you explore the world of big data. Create stunning data visualizations, build machine learning models, and take your first steps in AI applications. Walk away with an impressive portfolio project, dozens of coding notebooks, and a certificate verifying your work. You won’t look at AI the same, and you will leave a data scientist and better programmer.
Lecture Time
During lecture time, students learn new concepts and model code. Lectures are not passive watching experiences, but engaging coding experiences. Students create their own coding notebooks and gain access to annotated lecture notebooks that are permanently storied in student Google Drives.
BCA students have given lecture time a mean rating of 4.7/5 over six years.
Cohort Time
After lectures, students work in small cohorts to apply new concepts and work on project development. Cohorts average 6 students of a similar age and coding background. Fundamentals are reinforced in beginning cohorts, while advanced cohorts go deeper. Cohorts are where students bond and conduct original research. 1-1 support is provided.
BCA students have given cohort time a mean rating of 4.9/5 over six years.
Bonus Time
Long coding days are divided by bonus time and break time. Popular among students, bonus time gives students opportunities to connect and have fun outside of coding. Based on student feedback, bonus time is one of the most popular and anticipated times of the day.
BCA students have given bonus time a mean rating of 4.8/5 over six years.