DevOps to MLOps Bootcamp: Build & Deploy MLSystems End-2-End

DevOps to MLOps Bootcamp: Build & Deploy MLSystems End-2-End

What you’ll 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

How to Enroll DevOps to MLOps Bootcamp: Build & Deploy MLSystems End-2-End course?

  • To Access "DevOps to MLOps Bootcamp: Build & Deploy MLSystems End-2-End" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
  • If you're New to Udemy? Sign up with your email and create a password. for Existing users, log in with your credentials to access course.
  • How many members can access this course with a coupon?

    DevOps to MLOps Bootcamp: Build & Deploy MLSystems End-2-End Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!

    External links may contain affiliate links, meaning we get a commission if you decide to make a purchase
    Deal Score0

    Learn Data Science. Courses starting at $12.99

    New customer offer! Top courses from $14.99 when you first visit Udemy

    eLearn
    Compare items
    • Total (0)
    Compare
    0