MLOps Crash Course for Beginners - part 1 | Build, Track, and Deploy ML Models Like a Pro скачать в хорошем качестве

MLOps Crash Course for Beginners - part 1 | Build, Track, and Deploy ML Models Like a Pro

Welcome to Part 1 of the MLOps Crash Course — your step-by-step guide to bringing machine learning models into real-world production environments. In this video, you’ll learn how professionals manage, package, and deploy ML projects using industry-standard tools and workflows. 🚀 What You’ll Learn: What MLOps is and why it matters Complete MLOps lifecycle overview Essential tools: Git, Docker, D-V-C, MLflow, CI/CD, Kubernetes How to version and manage data Tracking experiments with MLflow Packaging models with Fast-API Automating testing, training, and delivery with GitHub Actions By the end of this video, you’ll understand how to build reproducible ML pipelines, automate deployments, and prepare for real software development roles. 💡 Who It’s For: Beginners, data scientists, and developers who want to become job-ready in MLOps. #MLOps #MachineLearning #DevOps #DataScience #MLflow #Docker #FastAPI #GitHubActions