Build a Complete End-to-End GenAI Project in 3 Hours
This video walks you through a complete end-to-end GenAI project using OpenAI, Postgres for storage, Docker for local development, and Render for seamless deployment. By the end, you’ll have a portfolio-ready GenAI app with real scraping, processing, database handling, and a live production deployment you can build on. 🔗 Access Private Repository https://go.datalumina.com/MszdmaM 🎓 Check out the Datalumina Academy https://go.datalumina.com/og5vAqj 🎙️ Get Gladio, the universal speech-to-text app https://get.glaido.com/dave ⏱️ Timestamps 00:00 Introduction to AI News Aggregator 03:25 How to Follow Along 06:39 Setting Up the Project 07:13 Brainstorming Features 13:08 Building the YouTube Service 30:02 Creating the OpenAI Scraper 39:04 Creating the Anthropic Scraper 43:13 Creating the Pipeline 49:16 Setting Up the Database 58:30 Testing Database Connections 1:16:28 Processing Articles in Markdown 1:23:37 Implementing the Digest Feature 1:30:34 Daily Digest Development 1:32:00 Creating the Aggregator Agent 1:33:59 Ranking Articles by User Profile 1:39:16 Implementing the Email Agent 1:40:36 Sending Emails with Python 1:52:17 Deployment Strategy Planning 2:01:27 Setting Up Render for Deployment 2:07:57 Handling Deployment Errors 2:16:28 Final Refactor and Check 2:32:52 Optimizing Code Structure 2:54:41 Conclusion and Next Steps 👋🏻 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!
