The AI Engineer
Challenge
Do you have what it takes to build, ship, and share your first LLM application like an AI Engineer? Go beyond vibe coding to AI-Assisted Development and let your junior developer work for you.
Step 1
AI-Assisted IDE
Follow the Interactive Dev Environment for AI Engineers Tutorial, then submit the public Github URL in the form.
Dev Environment TutorialStep 2
Build, Ship, and Share Your First LLM Application
Watch The AI Engineer Challenge Tutorial video, then submit the Public Application URL in the form below.
The AI Engineer ChallengeStep 3
F.A.Q.
Some of the most common questions we get regarding the Challenge and the Bootcamp.
I still need more help!
For technical issues join the AIM Discord group and post your questions directly in the #ask-aim channel!
What if I’m not comfortable enough with Python?
It’s never been easier to get up to speed in a new programming language than it is today. We will use Cursor AI for development in the course, as it’s emerged as a best-practice tool, especially for new learners.
What if I don’t have time to complete the challenge before the enrollment deadline?
You can cheat (not recommended). Simply fork the BeyondChatGPT repo and duplicate our space. Boom. Done. You WILL learn the details of Docker, Chainlit, and Python as you submit assignments in the course.
I’m worried about not being technical enough for this course.
As long as you have the drive to go all in on GenAI for your career, then you’ll find like-minded people to build, ship, and share with. Each breakout room group is aligned by skillset (based on your self-reported applications scores) and is led by an experienced peer supporter with a similar skillset. Your learning journey through the bootcamp will be personalized. Are you ready to get after it?
Join practitioners from around the world, learning how to build production-ready LLM applications.
