Getting Started With BentoML | Deploy Your First ML Model In Ten Minutes скачать в хорошем качестве

Getting Started With BentoML | Deploy Your First ML Model In Ten Minutes

Want to turn your machine learning model into a production-ready API? In this step-by-step tutorial, you’ll learn how to use BentoML to package, serve, and deploy your first ML model with ease. Join this channel to get access to perks:    / @mlworks   Whether you’re building ML projects, preparing for ML system design interviews, or moving from experimentation to production, this video will help you understand how real-world model deployment works. 🔥 What You’ll Learn 📦 What BentoML is and why it matters 🧠 How to package a trained ML model 🌐 Serve your model as a REST API ⚙️ Create a production-ready service 🛠️ Tech Stack Python BentoML HuggingFace Torch ⏱️ Chapters 00:00 – What and Why BentoML 02:30 – Set up BentoML Environment 02:50 – Creating a Bento Service 05:20 – Running a Local API Server 🎯 Who Is This For? ML Engineers Data Scientists moving to production AI builders & indie hackers Students preparing for ML system design If you enjoyed this tutorial: 👍 Like the video 🔔 Subscribe for more content on MLOps, model deployment, RAG systems, and AI engineering #BentoML #MLOps #MachineLearning #ModelDeployment #MLDeployment #PythonAI #AIEngineering #DataScience