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What Should You Learn NextNot sure where to start? Take the free What Should You Learn Next quiz
What Should You Learn NextNot sure where to start? Take the free What Should You Learn Next quiz
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MLOps: Machine Learning in Production

AI & Tech · Self-paced course

MLOps: Machine Learning in Production

Learn the pipelines, tracking, versioning and monitoring that keep machine learning models reliable after they reach production.

$97

One-time payment · Self-paced course · 6 modules · 12 lessons

Enroll now — $97Read a free preview lesson

Monitor screengrab
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What this is

Build the infrastructure and workflows to reliably train, deploy, monitor, and iterate on machine learning models at scale.

The course assumes basic ML knowledge. Tools are covered as examples; it does not award a certification or promise results in your environment without testing.

What you will be able to do

  • ML pipelines with Kubeflow, Airflow, and Prefect
  • Experiment tracking with MLflow and Weights & Biases
  • Model versioning, registry, and CI/CD for ML
  • Containerizing ML workloads with Docker and Kubernetes
  • Feature stores and data versioning with DVC
  • Monitoring model performance and data drift in production

The curriculum

Module 1

ML pipelines

  1. Orchestrating trainingFree preview
  2. Choosing an orchestrator
Module 2

Experiment tracking

  1. Tracking runs
  2. Comparing experiments
Module 3

Versioning and CI/CD

  1. Model registry
  2. CI/CD for ML
Module 4

Containers

  1. Docker for ML
  2. Kubernetes basics for ML
Module 5

Data and features

  1. Feature stores
  2. Data versioning
Module 6

Monitoring

  1. Performance monitoring
  2. Data drift
Black laptop computer turned on on brown wooden table
Photo by ThisisEngineering on Unsplash

This is for you if…

  • You have models that are hard to reproduce or redeploy
  • You are moving from data science to ML engineering
  • You want CI/CD for models
  • You need to know when a model stops working

What you get

  • Lifetime access to all 12 lessons across 6 modules
  • Self-paced lessons you can start, pause and revisit on any device
  • A practical action step in each module to apply what you learn
  • A free preview lesson so you can check the approach before you buy
  • Coverage by our 30-day refund policy if the course is not right for you

Questions

Do I get a certification, licence or credential?

No. This course does not award any certification, licence or professional credential, and it is not accredited by any body. It is an educational course only.

Do I need any experience?

No formal experience is required unless noted above. Read the free preview lesson and the ‘This is for you if…’ list to check the level is right for you.

How do I get access?

Checkout is handled securely by Stripe. Access details are sent to the email address you use at checkout.

How long do I have access?

Access does not expire. The course is self-paced, so you can work through it on your own schedule.

What if it isn’t right for me?

Purchases are covered by our refund policy. Please read it before buying.

Start MLOps: Machine Learning in Production today

$97 · one-time payment

Enroll now — $97

Educational content only. No income, revenue or earnings results are promised or implied, and results depend on your own effort and circumstances. Skills Learning Hub is an independent education provider; this course is not accredited and does not award a certification, licence or professional credential.

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