Students graduate with:
- Real technical skills
- Original academic work
- A professional portfolio
- Stronger university applications
- Experience working with world class mentors
Get mentored by MIT, Stanford, Harvard, Oxford, Cambridge students and alumni
Guaranteed to strengthen your college applications.
Why?
Because every student will be able to show:
- Academic research paper
- Academic research poster
- Practical technology project
- Portfolio website
- GitHub repository
- Technical blog article
- Recorded presentation
No homework:
- We guide students step by step during live sessions (video calls).
- Students work in groups with mentor support.
- Students complete these projects during the program because they are already overloaded with academics and extracurriculars.
Preparing Students for the Future
Students don't just learn about technology.
They build it.
Guided by Students and Alumni From Top Universities
Students are guided by current students and alumni from:
- MIT
- Stanford
- Harvard
- Oxford
- Cambridge
Students work directly with mentors throughout every stage of every project, from first idea to finished portfolio.
Meet our Mentors
Students work with mentors who have studied, researched, or built technical projects in demanding academic environments.
Finance and data science background, with applied machine learning work on policy recommendations and transparency projects.
Computer Science and AI researcher and developer with experience in MIT research labs including Media Lab, CSAIL, and Space Systems Lab.
Oxford engineering background with computer vision and robotics research experience, plus student technology leadership.
Interdisciplinary scientist working across engineering, physics, and biology, with fellowship-backed PhD and research experience.
Stanford CS background, former Facebook and Apple engineer, and full-stack engineer at an early stage startup.
Built Knowledge Graph pipelines, improved document classification with Graph Neural Networks, and co-founded startups as CTO.
Engineering background with advanced mathematics and physics preparation, including Cambridge academic program experience.
Mathematics background with graduate work in simplicial homotopy theory and a later pivot into data science.
What Students Build
Students choose projects based on their interests.
Students can choose areas such as:
- Artificial Intelligence
- Machine Learning
- Data Science
- Software Engineering
- Robotics
- Game Development
- Digital Design
- Entrepreneurship
- Scientific Research
Every completed project becomes part of a portfolio students can confidently share with universities and future opportunities.
Student Work
Completed academic work includes:
Portfolio outputs
Research papers
AI applications
Software projects
Portfolio websites
GitHub repositories
Research posters
Technical presentations
Built to Be Completed
- Parents, schools, and students can review finished work before joining
- Close, step by step mentorship helps every student complete ambitious projects
- The program fits around busy academic schedules because projects are completed during live sessions
- Students can continue into additional topics or more advanced programs as their interests grow
Proof of Achievement
Students can receive formal recognition for the work they complete.
Student Articles and Videos
Students can explain what they built through articles, videos, and project presentations.
Kyle
The Northwest School, Seattle
This course helped me learn the AI concepts through intuitive and easy-to-follow explanations.
Hannah
Clayton High School
This course helped me prepare for university courses by exposing me to difficult topics.
Reagan
King's College, Auckland
My favourite part was learning about generative adversarial networks because the architecture is so clever.
Story links open public videos and available article references in a new tab.
Flexible Program Formats
Choose the format that works best.
Intensive Program
- Monday to Friday
- Two weeks
- Live online mentor sessions
- Complete every deliverable by the end of the program
Weekly Program
- One live mentor session per week
- Ten weeks
- Same outcomes
- More flexible schedule
Ready to Learn More?
Leave your email to take the first step toward joining Adava.
We'll email you:
- Current program options
- Upcoming schedules
- Student project previews
- Program options and pricing
- Simple instructions for joining the program