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MLOps Professional

Advanced 4.8 (1.2k reviews)

Move models from notebooks to production. CI/CD for Machine Learning, Docker, and Kubernetes.

MLOps Professional
Best Seller

Course Roadmap

Step 1

Production ML Overview

The MLOps Lifecycle and Technical Debt

Step 2

Model Tracking

Experiment Tracking with MLflow and Weights & Biases

Step 3

Containerization

Docker Basics and Best Practices for ML Images

Step 4

Orchestration

Kubernetes (K8s) for Scaling Model Serving

Step 5

CI/CD Pipelines

GitHub Actions for Automated Testing and Deployment

Step 6

Model Serving

Flask, FastAPI, and TorchServe

Step 7

Monitoring & Drift

Detecting Data Drift and Concept Drift in Production

Step 8

Project

End-to-End Deployment of a Credit Risk Model