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MLOps & LLMOps Self-paced Intermediate

MLOps End-to-End: CI/CD, Docker & Kubernetes

Make models reproducible, testable and deployable — every time.

SHIPSTACK · COURSE MLOPS & LLMOPS MLOps End-to-End:CI/CD, Docker &Kubernetes 6 MODULES · SELF-PACED · INTERMEDIATE ~45h

About this course

The engineering around the model: data and experiment versioning, pipelines, CI/CD with evaluation gates, containers, Kubernetes deployments and monitoring for drift.

What you will be able to do

  • Version data and track experiments
  • Build training pipelines that rerun on demand
  • Gate deployments on evaluation results
  • Deploy models to Kubernetes
  • Monitor models and detect drift

Curriculum

01Reproducibility
  • DVC
  • MLflow tracking
  • Model registry
02Pipelines
  • Modular project layout
  • Pipeline stages
  • Configs
03CI/CD
  • GitHub Actions
  • Jenkins
  • Evaluation gates
04Containers
  • Docker for ML
  • Image size
  • Registries
05Kubernetes
  • Deployments
  • Autoscaling
  • Rollouts
06Monitoring
  • Metrics
  • Drift
  • Alerting

Tools you will use

DVCMLflowGitHub ActionsJenkinsDockerKubernetesPrometheusGrafana

Prerequisites

  • Python
  • Basic ML
  • Comfort with the command line

Projects you will build

SHIPSTACK · PROJECT PipelineSmith Reusable ML CI/CD with aJenkins shared library Intermediate MLOps & Cloud 1 Git push 2 Shared library 3 Build image 4 Kubernetes 5 milestones
MLOps & Cloud Intermediate

Reusable ML CI/CD with a Jenkins shared library

One shared pipeline library that every ML repository can reuse: test, train, evaluate, containerise and deploy with a five-line Jenkinsfile.

Jenkins · Groovy · Docker Coming soon
SHIPSTACK · PROJECT ScanSure Explainable tumour detectionon medical scans, deployed onGCP Intermediate Computer Vision 1 MRI scans 2 DVC pipeline 3 CNN + Grad-CAM 4 Cloud Run API 5 milestones
Computer Vision Intermediate

Explainable tumour detection on medical scans, deployed on GCP

A deep-learning classifier for brain MRI scans that shows where it looked — with Grad-CAM heatmaps — served from Google Cloud.

PyTorch · Grad-CAM · MLflow Coming soon
SHIPSTACK · PROJECT StormCast Thunderstorm forecasting withMLflow tracking Beginner Machine Learning 1 Station data 2 Features 3 MLflow 4 Forecast API 5 milestones
Machine Learning Beginner

Thunderstorm forecasting with MLflow tracking

Forecast thunderstorm risk from weather-station data and track every experiment, parameter and model version with MLflow.

pandas · scikit-learn · MLflow Coming soon