AI Fluency Bootcamp
Pre-college Artificial Intelligence Course for exceptionally passionate students.
Taught Exclusively by PhDs, Alumni and Students from
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Only a few spots left. Secure yours today!
It only takes a few minutes to apply! No coding experience required (but encouraged!)
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PersonalizedMentorship
Learn more than just theory
We’ll guide you through building real projects that will stand-out in college applications.
No mandatory homework
Our program is made for busy students.
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Learn from the best
Join a network of AI experts, researchers, industry leaders, and top university alumni. The bootcamp is taught exclusively by PhDs, Alumni and Students from MIT, Stanford, Oxford, Cambridge and Harvard.
Meet like-minded peers
Join a network of exceptionally passionate peers who are preparing for college too (these are people who will be your classmates in college or who you'll work with in personal projects).
Our Team
Ready to meet our instructors?
Jorge Nam Song
Stanford University
Management Science & Engineering
Jorge has a background in Finance and Data Science. Since the beginning of the COVID-19 pandemic, he has been using data science and machine learning to advise on policy recommendations and combat corruption in Paraguay, creating a more transparent business ecosystem in Paraguay.
Aarshavi Shah
MIT
Computer Science
Aarshavi is a Researcher and Developer in the field of Computer Science and Artificial Intelligence. In her 20s, she has ventured into different areas in the field from working in research labs like MIT Media Lab, CSAIL, and Space Systems Lab.
Nishit Srivastava
Cambridge University
Bioengineering / Mechanobiology
Nishit is an interdisciplinary scientist with expertise in solving biological problems through the combination of engineering, physics & biology. He has won prestigious fellowships to do a PhD and carry out further research work.
Abhishek Garg
Stanford University
Computer Science
After doing his undergrad and graduate degree from Stanford in CS, Abhishek went on to work at large technology companies in the Bay Area: Facebook and Apple. More recently, he started working for startups. He is now a full-stack engineer at an early stage startup, and enjoys technology and working with others.
Varun Jain
Cambridge University
Engineering
Varun solved more than 600 questions in mathematics and physics on the Isaac Physics platform over an eight-month period as part of the Senior Physics Challenge 2019. Was one of 41 students in the UK invited to a residential course on quantum mechanics at Churchill College, Cambridge. Interacted directly with leading academics such as Dr Mark Warner.
Wilfried Bounsi
Oxford University
Computer Science and Applied Mathematics
During his latest work experience, Wilfried implemented a Knowledge Graph construction pipeline from educational materials. He also improved document classification quality by 95% through the usage of state of the art heterogeneous Graph Neural Networks. Finally, he Co-founded two startups: Quidely and Skylon, for both of which he assumes the role of CTO.
Chase Middleman
MIT
Mathematics Major
After getting his master’s degree in mathematics studying simplicial homotopy theory, Chase decided he wanted to pivot careers and join the rapidly expanding data science industry. Last month he graduated his own data science bootcamp, and is excited to help others develop their skills and get a head start!
Only a few spots left. Secure yours today!
It only takes a few minutes to apply! No coding experience required (but encouraged!)
Work in your very own high-end AI Project
Build a project you can be proud of
You will work with your mentors on a complex AI Project, and at the end of the bootcamp you will bring it all together in a Final Project Presentation.
Give your AI Career a head-start
Your mentors will teach you how to properly showcase your project for college admissions.
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Proof of your achievements
Academic Posters
All students make a group poster under the guidance of their instructors
Only a few spots left. Secure yours today!
It only takes a few minutes to apply! No coding experience required (but encouraged!)
Alumni Articles + Videos
All students write an individual article and make a video discussing what they've learned
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Kyle Porter
The Northwest School, Seattle
"This course helped me learn the AI concepts by giving intuitive and easy-to-follow examples. It has also given me a great base of knowledge for me to move forward with university courses and then jobs later on in life."
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Hannah Do
Clayton High School
“This course helped me to prepare for university courses by exposure to difficult topics. When I see topics related to AI, I’d be able to connect to what I learned in this course and expand on my knowledge.
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Reagan Wang
King's College, Auckland
"Probably my favourite part of the AI Fluency course was learning about adversarial generative networks, because it’s just such a clever architecture."
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Audrey Mills
St. Marys
"Through taking this class, I discovered that AI is surprisingly simple. Through this discovery, I can say that I firmly believe that if I can become an AI wizard, you reader, can too."
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Paris Smith
Holy Child Rye School
"I am now prepared to be able to discuss the different subjects in depth during a university interview or essay."
Your AI Fluency Project could be highlighted here!
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Adava University around the world
students & instructors
Classes designed around you
Students will be grouped based on their skills and age ranges, and the pace will be adjusted specifically for them.
We’ve had students
from 11 to 19 years old
Our students are usually
6th to 12th graders
- No programming skills
-
Basic programming skills
-
Advanced programming skills
Students will be divided into groups
according to their grade level and
programming experience and teaching will adapt to their pace
AI Fluency Bootcamp Structure
Class Breakdown
Theory
30 minutes
Programming
90 minutes
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Theory
30 minutes
Programming
90 minutes
Theory
30 minutes
Programming
90 minutes
*This schedule is for the most experienced students. Depending on your existing skills, programming experience, age, and grade in school, this schedule will be adjusted.
For example, if you're an absolute beginner, we will take 2 or even 3 days for the "Class 1" on the schedule, to have one day for python+numpy, and another day for pandas+seaborn.
For this, we will also have to skip the last, most advanced topics like Generative Adversarial Networks and Reinforcement Learning.
Admissions
COST OF THE PROGRAM
- COST OF THE PROGRAM
$
(USD)
- APPLICATION DEADLINE
APPLICATION DEADLINE
The night before classes start
for each cohort
- COST OF THE PROGRAM
COST WITH SCHOLARSHIP
- COST OF THE PROGRAM
$
591
(USD)
SCHOLARSHIP applied
- APPLICATION DEADLINE
SCHOLARSHIP EXPIRES:
Sunday, May 16, 2023 (today)
In 29:32
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This program is highly selective and admission will be granted to a balanced team for our Summer class of 2021. Admissions will be decided on a rolling basis.
Applications for our Spring 2021 Program are now closed.
Pick your dates
for the AI Fluency Bootcamp
Available Cohorts
December Cohort
Daily Online Program
From Dec 19th to Dec 30th
Mon-Fri 4:00 PM- 6:00 PM (EST)
Mon
Tue
Wed
Thu
Fri
12/19
12/20
12/21
12/22
12/23
Class 1
Class 2
Class 3
Class 4
Class 5
12/26
12/27
12/28
12/29
12/30
Class 6
Class 7
Class 8
Class 9
Class 10
Scholarship expires in 29:32
Spring Cohort
Weekly Online Program
From Jan 21st to Mar 25th
Saturdays 4:00 PM - 6:00 PM (EST)
Sat
Sat
Sat
Sat
Sat
01/21
01/28
02/04
02/11
02/18
Class 1
Class 2
Class 3
Class 4
Class 5
02/25
03/04
03/11
03/18
03/25
Class 6
Class 7
Class 8
Class 9
Class 10
Scholarship expires in 29:32
April Cohort
Daily Online Program
From Apr 17th to Apr 28th
Mon-Fri 4:00 PM - 6:00 PM (EST)
Mon
Tue
Wed
Thu
Fri
04/17
04/18
04/19
04/20
04/21
Class 1
Class 2
Class 3
Class 4
Class 5
04/24
04/25
04/26
04/27
04/28
Class 6
Class 7
Class 8
Class 9
Class 10
Scholarship expires in 29:32
(C) Copyright Adava University 2020-2021
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