Learn to Code with AI
in Just 10 Days
Without writing a single line of code.
Using the AI tools that are transforming the industry.
Taught by Engineers & Researchers from
MIT • Stanford • Oxford • Cambridge • Harvard
Google • Apple • • Amazon • Microsoft
Only a few spots left. Secure yours today!
✓ 2-minute application • ✓ No payment required • ✓ Instant confirmation
It only takes a few minutes to apply! Learn how senior engineers at top companies use AI to build software faster.
Learn AI-First Development
Master the art of building software by directing AI. No syntax memorization. No debugging nightmares. Just results.
Build Real Projects
Create 3 portfolio-ready projects. Full-stack web apps, AI integrations, and production-quality code.
Get Hired
Our graduates land jobs at startups and Fortune 500 companies. Average starting salary: $94,000.
Learn from the best
Our instructors are engineers from Google, Apple, Meta, Amazon, and Microsoft and alumni from MIT, Stanford, Harvard, Oxford, and Cambridge. They've built products used by billions.
Join a powerful network
Connect with ambitious peers from all backgrounds—career changers, experienced developers, and entrepreneurs—who are mastering the AI-first approach to building software.
Our Instructors
World-class engineers ready to transform your career
Jorge Nam Song
Stanford
Management Science & Engineering
Jorge has a background in Finance and Data Science. He has been using data science and machine learning to advise on policy recommendations and combat corruption, creating more transparent business ecosystems.
Aarshavi Shah
MIT
Computer Science
Aarshavi is a Researcher and Developer in Computer Science and AI. She has worked in research labs like MIT Media Lab, CSAIL, and Space Systems Lab.
Shu Ishida
Oxford
PhD Computer Vision & Robotics
Shu completed his Engineering degree at Oxford with top 2% grades. He's now researching computer vision and robotics as a PhD student at VGG. Former Microsoft Student Partner Lead.
Nishit Srivastava
Cambridge
Bioengineering / Mechanobiology
Nishit is an interdisciplinary scientist with expertise in solving biological problems through engineering, physics & biology. He has won prestigious fellowships for PhD and research work.
Abhishek Garg
Stanford
Computer Science
After undergrad and graduate degrees from Stanford in CS, Abhishek worked at Facebook and Apple. Now a full-stack engineer at an early stage startup.
Wilfried Bounsi
Oxford
CS & Applied Mathematics
Wilfried implemented Knowledge Graph construction pipelines and improved document classification by 95% using Graph Neural Networks. Co-founded two startups as CTO.
Varun Jain
Cambridge
Engineering
Varun solved 600+ questions in mathematics and physics. One of 41 UK students invited to a quantum mechanics course at Churchill College, Cambridge.
Chase Middleman
MIT
Mathematics
After his master's in mathematics studying simplicial homotopy theory, Chase pivoted to data science. 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! Learn how senior engineers at top companies use AI to build software faster.
Build Real Software in 10 Days
Your portfolio will speak louder than any resume
E-Commerce Platform
Full shopping experience with cart, checkout, payments, and admin dashboard.
AI Chatbot
Intelligent assistant powered by GPT with custom training and integrations.
SaaS Dashboard
Analytics platform with real-time data, charts, user auth, and subscriptions.
Mobile App
Cross-platform mobile application with native features and cloud sync.
Results from Students
From all backgrounds - united by ambition
"I have a Master's in Mechanical Engineering from Georgia Tech. I took all the calculus, physics, thermodynamics but never a single programming class. I always wanted to build software tools for my simulations but the learning curve felt impossible. With this AI coding program, I built a complete CAD automation tool in 10 days. Now I'm a software engineer at Tesla, combining my mechanical background with code. This course was the missing piece."
"As a physician, I constantly saw ways software could improve patient care but I couldn't build any of it. I tried learning Python twice and quit both times. The Adava program was different. I built a clinical decision support tool during the course that I actually use in my practice now. The ex-Amazon instructor helped me understand systems thinking. I made the leap to health tech and finally get to solve the problems I've seen for years."
"I'm a CS major but honestly my classes were all theory. When I started applying for internships, I realized I couldn't actually build anything real. Took the Adava AI development course over winter break and built 3 projects I could show in interviews. Got my Stripe offer two weeks after graduating from the program. The hands-on approach is what universities are missing."
"Business major here. Realized tech is where everything's happening. Didn't want to switch my whole degree. This 10-day intensive let me build a portfolio while staying in my major. The AI-first approach meant I could build production-quality apps without memorizing syntax. Now interning as a software engineer while finishing my business degree. Best decision I ever made."
"I'm 17 and just got into Stanford for CS. My portfolio from Adava's program was literally the first thing my interviewer wanted to talk about. I built an AI study assistant app that my whole school uses now. Most high schoolers applying to CS have basic websites. I had production apps with real users. That made all the difference."
"I'm 16 and already making money building websites for local businesses. Before this course, I was just copying code from tutorials and hoping it worked. Now I actually understand how to architect applications and use AI tools like a pro. Built 5 client projects in the last 3 months. My parents can't believe I'm making more than my allowance."
10-Day Curriculum
Every day builds on the last. By day 10, you're job-ready.
AI Fundamentals & Prompting
- How AI coding assistants work
- Prompt engineering for perfect code
- Setting up your dev environment
- Your first app in under 30 minutes
Frontend Development
- Build stunning UIs with React
- Responsive design without CSS pain
- Project: E-commerce storefront
- Animation and interactivity
Backend & Databases
- APIs and servers explained simply
- Database design through conversation
- Authentication & user management
- Project: Full-stack SaaS app
AI Integration
- Add AI features to your apps
- Build chatbots and AI agents
- Deployment and scaling
- Project: AI-powered application
Career Launch
- Portfolio optimization
- Resume that gets interviews
- Crushing technical interviews
- Salary negotiation strategies
Lifetime Access
- Private community
- Weekly live Q&A sessions
- All future course updates
- Job board with 500+ roles
* Schedule adapts to your skill level. Whether you're starting fresh or an experienced developer, you'll learn the AI-first approach used by senior engineers at Google, Meta, and Amazon.
Only a few spots left. Secure yours today!
It only takes a few minutes to apply! Learn how senior engineers at top companies use AI to build software faster.
Admissions
COST OF THE PROGRAM
APPLICATION DEADLINE
7 days before classes start
for each cohort
This program is highly selective and admission will be granted to a balanced cohort. Admissions are decided on a rolling basis.
Your Investment
Payback period: 5 days of work
Learning Pathway Comparison
Your Investment Includes:
- Live instruction from MIT, Stanford, Harvard engineers
- 3 portfolio-ready projects
- Lifetime community access
- Weekly live Q&A sessions (forever)
- Exclusive job board (500+ roles)
- 100% money-back guarantee
Pick Your Dates
for the Software Dev Bootcamp
February Cohort
Daily Online Program
From Feb 3rd to Feb 14th, 2026
Mon-Fri 6:00 PM - 8:00 PM (EST)
Spring Cohort
Weekly Online Program
From Mar 7th to May 9th, 2026
Saturdays 2:00 PM - 4:00 PM (EST)
100% Money-Back Guarantee
Try the program for 7 days. If you're not completely satisfied, email us for a full refund. No questions asked.
Proof of Your Achievements
Receive your certificate of completion
Your Portfolio Will Speak Louder Than Any Resume
Here are some examples of projects you will build
Frequently Asked Questions
Everything you need to know
Do I need any coding experience?
Not at all! Our program is specifically designed for people with zero coding experience. We teach you to build software using AI tools, which means you don't need to memorize syntax or learn traditional programming. If you can write clear instructions, you can learn to code with AI.
How much time do I need to commit?
The daily cohort runs 2 hours per day for 10 days (6-8 PM EST). The weekly cohort runs 2 hours on Saturdays for 10 weeks. We recommend an additional 1-2 hours of practice daily to maximize your learning.
However, practice is optional – we have plenty of time in class for you to learn deeply. The in-class time is designed to be comprehensive and hands-on.
Are there any additional costs beyond the tuition?
Yes, you'll need subscriptions to AI coding tools we use in the course:
- Cursor IDE: $20/month (required)
- Claude Pro (Anthropic): $20/month (recommended)
- ChatGPT Plus or GitHub Copilot: $20/month (optional, but helpful)
Estimated minimum additional cost: $40-60/month during the course. Most students find these tools invaluable and continue using them after graduation.
What if I can't attend a session?
All sessions are recorded and available within 24 hours. You'll have lifetime access to all recordings, materials, and the community. Many students watch recordings even if they attended live.
What tools and technologies will I learn?
You'll learn to use cutting-edge AI coding assistants (Cursor, Claude, GPT-4), build with React and Node.js, work with databases like PostgreSQL, deploy to cloud platforms, and integrate AI APIs. We focus on the tools actual companies use.
How is this different from other bootcamps?
Traditional bootcamps spend 3-6 months teaching syntax memorization and debugging. We teach you to direct AI to write code for you, the same way senior engineers work today. This means you build production-quality applications in days, not months, with instructors from MIT, Stanford, Google, and Apple - some of whom have worked at Google, Apple, Meta, and other top companies using AI coding tools in real world applications.
Adava University around the world
students & instructors
