Taught by Engineers & Researchers from
MIT • Stanford • Oxford • Cambridge • Harvard
Google • Apple • • Amazon • Microsoft
It only takes a few minutes to apply! No coding experience required.
Master the art of building software by directing AI. No syntax memorization. No debugging nightmares. Just results.
Create 5+ portfolio-ready applications. Full-stack web apps, AI integrations, and production-quality code.
Our graduates land jobs at startups and Fortune 500 companies. Average starting salary: $94,000.
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.
Connect with ambitious peers who are changing careers, launching startups, and breaking into tech. Your cohort becomes your professional network for life.
World-class engineers ready to transform your career
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.
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.
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.
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.
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.
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.
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.
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!
It only takes a few minutes to apply! No coding experience required.
Your portfolio will speak louder than any resume
Full shopping experience with cart, checkout, payments, and admin dashboard.
Intelligent assistant powered by GPT with custom training and integrations.
Analytics platform with real-time data, charts, user auth, and subscriptions.
Cross-platform mobile application with native features and cloud sync.
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 AI Coding Mastery, 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. AI Coding Mastery 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 spent 6 years doing pure mathematics — proofs, theorems, abstract algebra. I understood the math behind machine learning perfectly, but I couldn't implement any of it. Couldn't even write a for-loop. AI Coding Mastery bridged that gap in 10 days. Now I'm implementing the algorithms I used to only read about. The mathematical thinking transferred — I just needed the right approach to code."
"I designed bridges and highways for 8 years. Great with AutoCAD and structural analysis, but zero programming experience. Always wished I could automate my workflows. Now I lead a team building data tools for construction. Engineering mindset + AI coding = unstoppable."
"Running experiments in the wet lab, I always envied the computational biologists who could analyze genomic data. Tried learning R, gave up. Tried Python, gave up. This course finally made it click. Built my first bioinformatics pipeline in week one. Now I do both — wet lab and dry lab. My research output doubled."
"Excel wizard, financial modeling expert, but coding? Never. I was the person who requested features from engineering. Now I build them myself. The Stanford instructor understood how to teach analytical people. My finance background actually became an advantage in fintech."
Every day builds on the last. By day 10, you're job-ready.
* Schedule adapts to your skill level. Beginners get extra support and pacing adjustments.
It only takes a few minutes to apply! No coding experience required.
The night 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.
for the AI Coding Mastery Bootcamp
Daily Online Program
From Jan 20th to Jan 31st
Mon-Fri 6:00 PM - 8:00 PM (EST)
Weekly Online Program
From Feb 8th to Apr 12th
Saturdays 2:00 PM - 4:00 PM (EST)
Try the program for 7 days. If you're not completely satisfied, email us for a full refund. No questions asked.
students & instructors