MLOps: Real-World Machine Learning Projects for Professional
https://WebToolTip.com
Published 4/2025
Created by DS with Bappy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 20 Lectures ( 2h 54m ) | Size: 2.63 GB
Build end-to-end ML pipelines with MLFLow, DVC, Docker, Flask, GitHub Actions, Chrome Plugging , and AWS
What you'll learn
Build and deploy real-world machine learning models using MLOps Tools
Implement a complete Google Chrome Plugging
Implement a complete CI/CD pipeline for ML using GitHub Actions and model versioning
Track, manage, and compare ML experiments using DVC, MLflow for robust model governance
Design modular, reusable MLOps pipelines that follow industry best practices
Deploy and scale ML model on AWS cloud platforms with Docker production-ready architecture
Requirements
Basic knowledge of Python and machine learning concepts is recommended
Familiarity with Git and the command line will be helpful, but not mandatory
No prior experience with Docker, Kubernetes, or MLOps is required