Lightning Lessons

The AI Engineer Challenge: Build an End-to-End LLM App

Hosted by "Dr. Greg" Loughnane, Ph.D. and Katerina “KatGPT” Gawthorpe, Ph.D.

Wed, Oct 15, 2025

7:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

The AI Engineering Bootcamp
"Dr. Greg" Loughnane and Chris "The Wiz 🪄" Alexiuk
View syllabus

What you'll learn

Zero to one with a best-practice E2E prototyping stack

From version control basics to an hitting an LLM API, vibe coding a front end, and deploying to a public URL!

The fastest way to onramp into building and shipping apps

Learn every steps you need to quickly spin up simple prototypes with open-source tools and without no-code solutions.

Learn to get started with end-to-end prototyping

We will simply wrap an LLM with a front end and a back end, using a real AI Engineering development environment.

Why this topic matters

​Aspiring AI Engineers and leaders who want to get started with end-to-end prototyping need to look no further! This stack will be the basic stack you need to build a simple LLM wrapper, but also to build RAG, agent, and multi-agent applications. We'll vibe code, we'll use AI-assist, and we'll align with industry-standard AI Engineer best-practices.

You'll learn from

"Dr. Greg" Loughnane, Ph.D.

Co-Founder & CEO @ AI Makerspace

Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. Since 2021, he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Columbus, Ohio.

Katerina “KatGPT” Gawthorpe, Ph.D.

Co-Founder @ eve.ai | Econometrics @ Fannie Mae | Instructor @ AI Makerspace

I’m an AI developer and predictive modeler at Fannie Mae, where I’m building an LLM-powered app for real estate loan underwriting and developing models to forecast housing prices. I also collaborate with the Unicorn Research Center, helping European companies accelerate their LLM adoption—spinning up quick POCs and showing how image-processing and OCR can be made simple and impactful. Previously, I worked as Lead Modeler & Data Scientist at Transurban, where I built forecasting models for Express Lanes and led image-recognition classification projects in traffic analytics. My motto is “Make AI real.” I love turning ideas into systems that deliver measurable results.

Previously at

FourthBrain
University of Dayton
Fannie Mae

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