Full-Stack AI Engineering Course (FastAPI, LLMs, Docker, Supabase)
In this full AI Engineering course, I show you how to build an AI customer support agent from start to finish. New to Python? Watch this first: https://youtu.be/ygXn5nV5qFc 📘 Course Handbook https://learn.datalumina.com/docs/customer-support-automation 💻 Grab the Hostinger Black Friday Deal https://hostinger.com/davevps 📚 Datalumina Academy Take the 6-week AI engineering track: https://go.datalumina.com/POkiRE5 Build your freelance career with me: https://go.datalumina.com/1G2PQ7w 🎙️ Get one free month of Glaido Pro https://get.glaido.com/dave ⏱️ Timestamps 0:00:00 Introduction 0:06:57 Project setup 0:20:37 Gmail API access 0:36:23 Gmail client 0:45:27 The poller 0:53:48 Database 1:10:36 First reply 1:18:14 Knowledge base 1:23:21 AI pipeline 1:55:31 Evals 2:08:41 Server setup 2:23:41 Deploy with Docker 2:44:54 Admin dashboard 3:05:19 Wrap up 📌 Description In this full AI Engineering course, we connect a Gmail inbox, build the backend with FastAPI and the agent with Pydantic AI and Claude, store everything in Supabase, test it with evals and add a React admin dashboard. Then we deploy the whole system to a real server with Docker on Hostinger, so you end up with a project you can show in your next job interview. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!
