How to Deploy ML Solutions with FastAPI, Docker, & AWS скачать в хорошем качестве

How to Deploy ML Solutions with FastAPI, Docker, & AWS

30 AI Projects You Can Build This Weekend: https://the-data-entrepreneurs.kit.co... This is the 5th video in a series on Full Stack Data Science. Here, I walk through a simple 3-step approach for deploying machine learning solutions. More Resources: 💻 Example Code: https://github.com/ShawhinT/YouTube-B... 📰 Read more: https://medium.com/towards-data-scien... 🛠️ Previous Video:    • Text Embeddings, Classification, and Seman...   ➡️ Data Pipeline Video:    • How to Improve LLMs with RAG (Overview + P...   References: [1] FastAPI Tutorial: https://fastapi.tiangolo.com/tutorial... [2] FastAPI + Docker: https://fastapi.tiangolo.com/deployme... [3] Deploying on AWS ECS:    • AWS ECS Tutorial // Amazon Elastic Contain...   -- Homepage: https://www.shawhintalebi.com/ Intro - 0:00 ML Deployment - 0:33 3-Step Deployment Approach - 1:52 Example Code: Deploying Semantic Search for YT Videos - 3:21 Creating API with FastAPI - 4:31 Create Docker Image - 11:13 Push Image to Docker Hub - 17:15 Deploy Container on AWS ECS - 19:46 Testing Gradio UI - 25:54 What's Next? - 27:07