Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines

From Data to Deployment — Learn MLOps by Building a Real-World Machine Learning Project with MLflow, Docker, Kubernetes
4.84 (45 reviews)
Udemy
platform
English
language
Other
category
instructor
Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines
6 152
students
9 hours
content
May 2025
last update
$44.99
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

Course Gallery

Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines – Screenshot 1
Screenshot 1Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines
Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines – Screenshot 2
Screenshot 2Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines
Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines – Screenshot 3
Screenshot 3Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines
Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines – Screenshot 4
Screenshot 4Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines

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6565297
udemy ID
10/04/2025
course created date
16/04/2025
course indexed date
kokku
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