Schedule (PST)
All times in PST. Click here for EST.
Schedule details subject to change. Program times depend on the cohort.
Day 1: Intro to Machine Learning & Deep-learning
June 2/23
June 9/16
Session
4:00 PM
1:00 PM
Introduction to AI
4:30 PM
1:30 PM
ML as an Interactive Process
5:15 PM
2:15 PM
Break
5:30 PM
2:30 PM
Forward Prop, Backprop
6:15 PM
3:15 PM
College Applications: Retrospection and Advice
6:45 PM
3:45 PM
Q&A and Office Hours
Day 2: Generative AI and NLP
4:00 PM
1:00 PM
The Transformer Architecture
4:45 PM
1:45 PM
All About ChatGPT
5:15 PM
2:15 PM
Break
5:30 PM
2:30 PM
Autoregressive Models, NLP Applications
6:15 PM
3:15 PM
How to Pursue Research Opportunities
6:45 PM
3:45 PM
Q&A and Office Hours
Day 3: Computer Vision
4:00 PM
1:00 PM
CNNs: Convolutions and Beyond
4:45 PM
1:45 PM
Tesla Autopilot
5:15 PM
2:15 PM
Break
5:30 PM
2:30 PM
YOLO Models, Viola Jones Algorithm
6:15 PM
3:15 PM
Making the Most of High School
6:45 PM
3:45 PM
Q&A and Office Hours
Day 4: Reinforcement Learning & Ethics Fundamentals
4:00 PM
1:00 PM
Intelligent Agents and Reinforcement Learning
4:45 PM
1:45 PM
AlphaGo and the Breakthrough of AI
5:15 PM
2:15 PM
Break
5:30 PM
2:30 PM
Harms, Biases, and Dangers of AI
6:15 PM
3:15 PM
What I Wish I Knew... and More
6:45 PM
3:45 PM
Q&A and Office Hours
Day 5: Project Workshop Mini-Hackathon
4:00 PM
1:00 PM
Project Idea Share: NLP, CV, White Papers
4:15 PM
1:15 PM
Stage 1: Early Prototyping
5:15 PM
2:15 PM
Stage 2: Deployment
6:15 PM
3:15 PM
Demo Prep
6:30 PM
3:30 PM
Project Demos
6:45 PM
3:45 PM
The Harvard Experience
7:00 PM
4:00 PM