The AI Engineer Onramp: From Vibes to AI-Assisted Development with Cursor
"Dr. Greg" Loughnane, Ph.D.
Co-Founder & CEO @ AI Makerspace
Kat "KatGPT" Gawthorpe, Ph.D.
Data Scientist @ Fannie Mae
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10 people enrolled last week.
Build 🏗️, ship 🚢, and share 🚀 end-to-end LLM applications with Cursor
Are you an aspiring AI Engineer?
Even though you'll mostly work on the backend, the best AI Engineers can build end-to-end, shareable prototypes.
That's what this course is all about.
How should we:
🎧 Vibe code a frontend
🚢 Build a scalable backend
🔀 Connect the two ends
🚀 Deploy our application to a public endpoint
The "shell" of E2E applications is important to understand, even though the backend is likely to be the bottleneck in production.
What happens when you need to connect to large databases, use custom models, leverage large libraries or packages, do advanced retrieval to augment generations, or build multi-agent systems that have to manage context as well as short and long-term memory?
This is where the AI Engineering comes in.
This course prepares you for it by learning to build simple, end-to-end applications.
TL; DR full curriculum details
Why we built this course
After working with >400 students since January 2024 in The AI Engineering Bootcamp, we've seen many who were unable to shareable, end-to-end prototypes even if they were capable of building very complex backends!
What you’ll learn
Build 🏗️, ship 🚢, and share 🚀 an end-to-end LLM application with AI-assisted development, vibe-coding, vibe-checking, and leading tools.
Set up your workstation like a professional AI Engineer, including your own specific rules, docs, package specifications, and git workflows.
Learn about all of the latest features in Cursor 2.0
Learn where the vibes go bad when vibe coding front ends, back ends, and connecting them!
Learn to debug AI-generated code effectively.
Ensure you can roll back changes when you need to.
Master Git workflows using best-practice branch development, and start seeing those commits!
Understand how front-end, back-end, and LLM components interact.
Learn simple vibe checking and how to add features to your LLM applications.
Who this course is for
Aspiring AI Engineers who do not yet code every day, but know they want to code every day.
Aspiring AI Engineering Leaders who lead coders and want skin in the game on building, evaluating, and deploying LLM applications.
Potential Aspiring AI Engineers who do not yet code every day, but think they might want to code every day.
Prerequisites
Preliminary understanding of Python, IDE's, CLI programming, and Git
To make the most out of the course, you will want to set up your AI-assisted Interactive Development Development Environment before Day 1.
(Recommended) Tooling Setup!
Set up Google Colab, GitHub, OpenAI API key, Cursor, Docker, Render, and (Windows Only) WSL2 to make the most out of the first live session!
What's included
Live sessions
Learn directly from "Dr. Greg" Loughnane, Ph.D. & Kat "KatGPT" Gawthorpe, Ph.D. in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
Live Session 1: 🎧 LLM APIs & AI-Assisted Development
Week 2
Live Session 2: 🖼️ Front End UI Development & Deployment of LLM Applications
Free lesson
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Vibe Coding and AI-Assisted Development with Cursor
Go beyond vibe coding to AI-Assisted development
Get your AI-assisted interactive development environment set up like a real AI Engineer
Learn the hard parts no one talks about
From version control with GitHub, to command line programming, to package and environment management, start here.
Spoiler: It's easier now with AI-Assist
While git is still the same, actually using version control is easier than ever. Just like writing code in general!
Schedule
Live sessions
2-5 hrs / week
We typically have 10+ hours per week of office hours that you can attend (1 for each instructor and peer supporter!)
Weekly Programming Projects
1-3 hrs / week
Each class period, we will get hands-on with Python coding homework!
Testimonials
- "The onramp was really helpful" ~ The AI Engineering Bootcamp, Cohort 7 Student
Heemeng (Chris) Foo
Director of Quality Assurance / Head of Quality - "GitHub lets address it in the onramp most of the office hours were taken up with GitHub for the first 3 weeks." ~ The AI Engineering Bootcamp, Cohort 7 Student
Adrian V
Software Developer @ Alchemy Labs
📅 Detailed Course Schedule & Curriculum
Get all the details about tools we'll use and relevant papers for each project assignment, as well as our thoughts on who the ideal student is for this course, what success looks like, and the only prerequisites you'll need.
Frequently asked questions
$500
USD
16 hours left to apply