AI Camp - Summer Program
Learn AI in 3 weeks this summer
A learning experience of a life-time for ages 13-18 in the summer.
Full time for three weeks.
For ages 13 - 18
It will only take a min to apply. More than 5,000 students have done so.
We had an amazing chat with our 2021 Summer Camp participants.
This info session explains why AI Summer Camp will be the most important educational experience for you or your child.
AI Summer Camp
Learn AI in small classes online with our instructors. 6 students max per instructor.
Build an impressive AI product for your college admission portfolio in the summer.
Speak with at least 3 guest speakers who are professional AI practitioners.
Experience various tech roles and learn how to make informed career decisions.
Gain access to our learning center with all AI learning materials.
No coding experience necessary to begin.
Tuition: $1,949 (early bird. Deadline 3/1/2022). $2,349 (regular). Reserve now for the early bird pricing.
Scholarships are available.
We select the best students to train for tech internships at top technology companies.
3 week-long program in the summer.
10 am to 3 pm every weekday.
PST and EST timezone preferences are available.
Four batch choices:
Batch A - 6/6 to 6/24
Batch B - 6/27 - 7/15
Batch C - 7/18 to 8/5
Batch D - 8/8 to 8/26
Register today to secure your spot.
Reservation fee is $249 and is fully refundable.
Impactful projects by our students
Our students are building AI-powered hardware to help Starbucks recycle better (it recognizes various trash). We not only learn AI concepts, but also use that knowledge to code real, impactful projects.
What Our Students Are Saying...
Learn Core Data Skills and Get a Head-Start
Programming, command lines, and statistics
During the first week, students learn basics in Python, such as how to write a for loop and a function. We will also give an overview of how to make an AI product so that students have a mentor model of the whole camp right at the beginning. We will also introduce simple statistics so that our students can understand more advanced machine learning concepts (such as entropy).
Data manipulation and machine learning
With the basic foundation there, we will start to introduce them concepts of machine learning, such as the loss function and how to split your data. Depending on the project, we might teach how to explore data, how to visualize data, and how to manipulate data.