Schedule
All times in EST. Click here for PST.
Schedule details subject to change. Program times depend on the cohort.
Day 1: Intro to Machine Learning & Deep-learning
June 2
June 9/16
Session
7:00 PM
4:00 PM
Introduction to AI
7:30 PM
4:30 PM
ML as an Interactive Process
8:15 PM
5:15 PM
Break
8:30 PM
5:30 PM
Forward Prop, Backprop
9:15 PM
6:15 PM
College Applications: Retrospection and Advice
9:45 PM
6:45 PM
Q&A and Office Hours
Day 2: Generative AI and NLP
7:00 PM
4:00 PM
The Transformer Architecture
7:45 PM
4:45 PM
All About ChatGPT
8:15 PM
5:15 PM
Break
8:30 PM
5:30 PM
Autoregressive Models, NLP Applications
9:15 PM
6:15 PM
How to Pursue Research Opportunities
9:45 PM
6:45 PM
Q&A and Office Hours
Day 3: Computer Vision
7:00 PM
4:00 PM
CNNs: Convolutions and Beyond
7:45 PM
4:45 PM
Tesla Autopilot
8:15 PM
5:15 PM
Break
8:30 PM
5:30 PM
YOLO Models, Viola Jones Algorithm
9:15 PM
6:15 PM
Making the Most of High School
9:45 PM
6:45 PM
Q&A and Office Hours
Day 4: Reinforcement Learning & Ethics Fundamentals
7:00 PM
4:00 PM
Intelligent Agents and Reinforcement Learning
7:45 PM
4:45 PM
AlphaGo and the Breakthrough of AI
8:15 PM
5:15 PM
Break
8:30 PM
5:30 PM
Harms, Biases, and Dangers of AI
9:15 PM
6:15 PM
What I Wish I Knew... and More
9:45 PM
6:45 PM
Q&A and Office Hours
Day 5: Project Workshop Mini-Hackathon
7:00 PM
4:00 PM
Project Idea Share: NLP, CV, White Papers
7:15 PM
4:15 PM
Stage 1: Early Prototyping
8:15 PM
5:15 PM
Stage 2: Deployment
9:15 PM
6:15 PM
Demo Prep
9:30 PM
6:30 PM
Project Demos
9:45 PM
6:45 PM
The Harvard Experience
10:00 PM
7:00 PM