DevOps to MLOps Bootcamp: Build & Deploy MLSystems End-2-End
From Data to Deployment — Learn MLOps by Building a Real-World Machine Learning Project with MLflow, Docker, Kubernetes
37
students
9 hours
content
Apr 2025
last update
$99.99
regular price
What you will learn
Build end-to-end Machine Learning pipelines with MLOps best practices
Understand and implement ML lifecycle from data engineering to model deployment
Set up MLFlow for experiment tracking and model versioning
Package and serve models using FastAPI and Docker
Automate workflows using GitHub Actions for CI pipelines
Deploy inference infrastructure on Kubernetes using KIND
Use Streamlit for building lightweight ML web interfaces
Learn GitOps-based CD pipelines using ArgoCD
Serve models in production using Seldon Core
Monitor models with Prometheus and Grafana for production insights
Understand handoff workflows between Data Science, ML Engineering, and DevOps
Build foundational skills to transition from DevOps to MLOps roles
Screenshots
6565297
udemy ID
10/04/2025
course created date
16/04/2025
course indexed date
kokku
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