MLOps Crash Course for Beginners - part 1 | Build, Track, and Deploy ML Models Like a Pro
Автор: Bit by Bit
Загружено: 2025-10-12
Просмотров: 780
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
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