One hour instruction
+ One hour assignment each week.
Session starts on the first Saturday every calendar month
No coding experience needed
Same learning, but online.
Learn AI online in small class with top AI practitioners
Our instructor to student ratio is 1 to 5. With this small class size, we can deliver a personalized experience to our students while students collaborate on their projects. Students typically will need to prepare offline by reading, and the whole class then will meet online for discussion and work on the AI product together.
Build an AI project with your peers
The focus of the online camp is to build an AI product that people can use. With the proliferation of collaboration tools such as Zoom, Slack, and Github, we will collaborate seamlessly. Instructors can directly see students screens and provide personalized help/feedback to students. Use this AI product to impress your friends and family and for your college application.
Interact with industry leaders to learn their journey in tech
With video conferencing, students get to meet top AI practitioners (like data scientists at Uber, Facebook and Pinterest) and ask them questions such as their journey to tech. Students in fact get to stay in the network and can utilize this connection for their later learning and network. You can see our previous interviews on our blog.
Gain important real-life skills
It's important to learn how to pick a major and network so that our students can make best use of their college time. These real-life skills are really useful during and after schools and can make a real difference for our students to become leaders in their fields.
Curriculum that gives you a head-start
Level 1 - 12 weeks
Programming, command lines, and statistics
During the first level, student 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).
Level 2 - 12 weeks
Machine Learning and Deep Learning
With the basic foundation there, we will start introduce them concepts of machine learning. This includes concepts such as supervised machine learning, deep learning, computer vision, natural language processing, careers in AI, and ethics in AI. We will also teach core data skills such as how to explore data, how to visualize data, and how to manipulate data. We will use mini-projects to help us gain firm understandings.
Level 3 - 24 weeks