Adava University

Pre-college tech courses for exceptionally passionate students.

Taught Exclusively by PhDs, Alumni and Students from

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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. 

Shu Ishida

Oxford University

PhD Computer Vision
& Robotics

Shu has completed his Engineering degree at Oxford with top 2% grades, and is now researching in computer vision and robotics as a PhD student at VGG. He has competed in hackathons, Microsoft Imagine Cup, RoboCup and iGEM, and was a Microsoft Student Partner Lead.

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!


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

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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Nalini Gunawardena

Henry M. Gunn High School

"This course from AI Fluency has given me a really good overview of the scope of AI. It’s great for someone who doesn’t know where to start with AI and is excited to learn more. "

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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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AI Fluency Bootcamp

The AI Fluency Bootcamp dives into Machine Learning and Data Science techniques, from beginner to advanced.
The online bootcamp has no mandatory homework, and will guide you from little or no coding experience to AI fluency. This will make students stand-out in college admissions and future jobs.

At the end of this workshop, you will:
- Have a final AI project presentation
- Receive a graduation certificate detailing all the technologies learned
- Create an article detailing your process and technologies
- Showcase your project presentation on our website
- Create a video presenting your project
- Send your article to media (we’ll guide you through it)
- Showcase the project appropriately to colleges & employers
- Join a network of AI experts, researchers, industry leaders, and top university alumni
- Join a network of exceptionally passionate peers (after the course, students might end up working together in projects or become classmates in college)
- The top-performing student projects in a variety of areas will receive a variety of awards

Please see more details:

Personalized
Mentorship

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).

Only a few spots left. Secure yours today!

Scholarship expires in 29:32
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

Receive your certificate (and award!)

Academic Posters

All students make a group poster under the guidance of their instructors

Only a few spots left. Secure yours today!

Scholarship expires in 29:32
It only takes a few minutes to apply! No coding experience required (but encouraged!)

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
$
1,280
(USD)
  • APPLICATION DEADLINE

APPLICATION DEADLINE

Spring Cohort: Feb 11th, 2022
May/June Cohort: Feb 25th, 2022
  • COST OF THE PROGRAM
  • APPLICATION DEADLINE
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COST WITH SCHOLARSHIP

  • COST OF THE PROGRAM
$
591
(USD)
SCHOLARSHIP applied
  • APPLICATION DEADLINE

SCHOLARSHIP EXPIRES:

Sunday, May 16, 2021 (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.
(C) Copyright Adava University 2020-2021
 
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