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?
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!
