intermediate
MLflow on Kubernetes: ML at Scale
Build scalable MLOps with MLflow, KServe, Docker, and Kubernetes. Automate deployments, monitor models, and workflows. Learn to deploy ML models to Kubernetes at scale, implement CI/CD pipelines, track experiments, perform hyperparameter tuning, and build production-ready ML services.
15 lessons1h 28m
What you'll learn
- Deploy ML models to Kubernetes at scale using MLflow and KServe
- Implement CI/CD pipelines and automate model updates using Kubernetes
- Track experiments, perform hyperparameter tuning, and compare model versions with MLflow
- Build, package, and monitor production-ready ML services with Docker, MLflow, and Kubernetes
What it looks like in the lab
sandbox — bash
$ mlflow run . --experiment-name fraud-detection
Running entry point main...
Logged metrics: accuracy=0.94, f1=0.91
$ mlflow models serve -m runs:/abc123/model -p 5001
Serving model at http://localhost:5001
$ kubectl get pods -n mlflow
NAME READY STATUS
mlflow-server-7f8d9-x2k 1/1 Running
Real terminal output from the hands-on lab environment
Who this is for
- • DevOps engineers deepening their expertise
- • SREs building production-grade systems
- • Backend developers expanding into infrastructure
Prerequisites
- • Basic Python and ML knowledge
- • Familiarity with Docker and Kubernetes recommended
Lessons
1
Why Kubernetes + MLflow?
6 min
2
MLflow Architecture & Kubernetes Overview
5 min
3
Install MLflow with MLServer Support
5 min
4
Local Kubernetes Cluster Setup with Kind
4 min
5
Installing KServe on Kubernetes
5 min
6
Installing Dashboard on Kubernetes
10 min
7
Training a Wine Quality Model with MLflow
9 min
8
Hyperparameter Tuning using RandomizedSearchCV
7 min
9
Comparing Results in MLflow UI
6 min
10
Understanding MLflow Model Packaging
7 min
11
Serving Locally with MLServer
10 min
12
Building a Docker Image from MLflow Model
12 min
13
Writing the KServe InferenceService YAML
3 min
14
Deploying to Kubernetes and Checking Service Readiness
3 min
15
Conclusion
3 min
Get started
Start Free LessonFirst lesson is always free — no signup required
15 hands-on lessons
Intermediate level
1h 28m total
Real Linux sandbox labs
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