Schedule

Day 1: Intro to Machine Learning & Deep-learning

04:00 - 04:30 PM

Introduction to AI

04:30 - 05:15 PM

ML as an Interactive Process

05:15 - 05:30 PM

Break

05:30 - 06:15 PM

Forward Prop, Backprop

06:15 - 06:45 PM

College Applications: Retrospection and Advice

06:45 - 07:00 PM

Q&A and Office Hours

Day 2: Generative AI and NLP

04:00 - 04:45 PM

The Transformer Architecture

04:45 - 05:15 PM

All About ChatGPT

05:15 - 05:30 PM

Break

05:30 - 06:15 PM

Autoregressive Models, NLP Applications

06:15 - 06:45 PM

How to Pursue Research Opportunities

06:45 - 07:00 PM

Q&A and Office Hours

Day 3: Computer Vision

04:00 - 04:45 PM

CNNs: Convolutions and Beyond

04:45 - 05:15 PM

Tesla Autopilot

05:15 - 05:30 PM

Break

05:30 - 06:15 PM

YOLO Models, Viola Jones Algorithm

06:15 - 06:45 PM

Making the Most of High School

06:45 - 07:00 PM

Q&A and Office Hours

Day 4: Reinforcement Learning & Ethics Fundamentals

04:00 - 04:45 PM

Intelligent Agents and Reinforcement Learning

04:45 - 05:15 PM

AlphaGo and the Breakthrough of AI

05:15 - 05:30 PM

Break

05:30 - 06:15 PM

Harms, Biases, and Dangers of AI

06:15 - 06:45 PM

What I Wish I Knew... and More

06:45 - 07:00 PM

Q&A and Office Hours

Day 5: Project Workshop Mini-Hackathon

04:00 - 04:15 PM

Project Idea Share: NLP, CV, white papers

04:15 - 05:15 PM

Stage 1: Early Prototyping

05:15 - 06:15 PM

Stage 2: Deployment

06:15 - 06:30 PM

Demo Prep

06:30 - 06:45 PM

Project Demos

06:45 - 07:00 PM

The Harvard Experience

07:00 - 07:30 PM

(Optional) Full Panel Q&A

More questions? See our FAQ
Schedule details subject to change.