Description
MLOps Zero to Hero is a course from Machine Learning Operations Fundamentals to Building, Deploying, and Maintaining Production-Ready Machine Learning Systems published by Udemy Online Academy. It is a comprehensive learning path that takes you from the basics of machine learning operations to building, deploying, and maintaining production-ready machine learning systems. The course focuses on bridging the gap between data science and engineering by teaching you how to manage the full machine learning lifecycle, including data pipelines, model training, versioning, deployment, monitoring, and continuous improvement. Designed for aspiring machine learning engineers and data scientists, the course emphasizes real-world workflows, automation, and best practices used in modern AI-driven organizations.
This is a practical, hands-on course designed to help engineers understand how to build, deploy, and operate machine learning systems in real-world production environments. This course focuses on real-world challenges that teams face after training a model, versioning data, tracking experiments, deploying models, scaling inference, and reliably managing machine learning workloads. The course covers data and model versioning using DVC, experiment tracking with MLflow, and containerization using Docker. You’ll deploy models on Kubernetes, understand production-level serving patterns, and implement Kubernetes-native inference using KServe. By the end of the course, you’ll have a complete picture of how to move machine learning from experiment to production—and the confidence to design, deploy, and operate MLOps systems in real-world projects.
What you will learn in MLOps Zero to Hero:
- Introduction to Machine Learning Operations (MLOps)
- Transitioning from DevOps Engineers to MLOps Engineers
- Machine Learning Fundamentals for DevOps Engineers
- Deploying and Monitoring a Model in Production
- Coordinating a Machine Learning Pipeline from Start to Finish
- A Real-World MLOps Project
- And…
Course specifications
Publisher: Udemy
Instructors: Abhishek Veeramalla
Language: English
Level: Introductory
Number of Lessons: 69
Duration: 12 hours and 19 minutes
Course topics
MLOps Zero to Hero Prerequisites
Fundamental understanding of DevOps
Basic understanding of DevOps concepts like Docker, Kubernetes and CI/CD.
Pictures
MLOps Zero to Hero introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: English
Quality: 1080p
Changes:
Version 2026/1 compared to 2025/12 has increased by 1 hour and 23 minutes in duration.
Download links
Downloadly
Rapidgator
File password (s): www.downloadly.ir
Size
8.17 GB
