Skills Marketplace

Operations3 month path

MLOps Engineer

$125k – $200k

MLOps Engineers own the infrastructure and tooling that makes ML reliable — CI/CD for models, feature stores, monitoring, and rollback systems.

2 skills·1 learning path·2 certifications·3 projects

Overview

MLOps is the discipline that operationalizes machine learning. This path covers experiment tracking with MLflow and W&B, model registry patterns, automated retraining triggers, A/B testing for models, data drift detection, shadow deployments, and building the internal platform teams that enables data scientists to ship with confidence.

Prerequisites

✓Python (intermediate)

✓Docker/Kubernetes basics

✓CI/CD (GitHub Actions)

✓SQL

Skills you'll develop

MLOps EngineerAdvanced

Automate ML lifecycle at production scale

14 weeks · 3,000 XP

AI EngineerIntermediate

Build production AI systems end-to-end

12 weeks · 2,400 XP

Learning paths

Track 01

llm foundations

Capstone projects

Project 01

ML training pipeline with DVC

Project 02

Model monitoring dashboard

Project 03

Automated retraining trigger system