The Easiest Workflow for Building Python Projects
📝 Get the Step-by-Step Project Worflow & Setup Guide 👉 https://thu-vu.kit.com/fd435f73a6 📩 Leanring real skills in data & AI for 10 minutes a week 👉 https://thu-vu.ck.page/49c5ee08f6 Setting up cloud infrastructure for generative AI can be complex. In this video, I simplified Amazon Bedrock deployment by walking you through the essential interface configurations to build and test a simple RAG pipeline for asking questions about your own documents. We focus on the practical steps required to get your environment ready: select an Amazon S3 data source, configure the embeddings model, finalize the vector store setup, and test your document QA pipeline. 🔑 TIMESTAMPS ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 0:00 - Intro 0:25 - Step 1 - Project ideas 2:43 - Step 2 - Define core functionality 3:13 - Step 3 - Sketch the structure 4:07 - Step 4 - Set up your project 4:50 - Step 5 - Start building core logic 5:43 - Step 6 - Add bells and whisles 6:29 - Step 7 - Ship 6:55 - Common mistakes #python #ThuVu
