Ai Ml · intermediate
MLOps Pipelines with Python and AWS
Build production-grade machine learning pipelines from experiment tracking to automated deployment. Master MLflow for experiment management, AWS SageMaker Pipelines for scalable training, FastAPI and Docker for model serving, and Evidently AI for drift monitoring — the full MLOps stack used at leading tech companies.
- 9 hours
- 18 lessons
- 4 modules
- updated May 2026
Try it before you sign up
Read a full lesson and answer 3 questions from the Module 1 quiz. No account needed.
The MLOps Landscape
4 modules, 18 lessons
Module 1 is free — lessons, hands-on walkthrough and quiz.
- readThe MLOps Landscape20 min
- videoMLflow Full Course: Tracking and Registry25 min
- hands-onHands-On: Track Your First MLflow Experiment25 min
- quizModule 1 Quiz10 min
Built by the CloudaQube team
No celebrity instructor — here is exactly what goes into the course instead.
- 01 5 guided hands-on walkthroughs you run in a real environment.
- 02 4 module quizzes — every answer comes with an explanation.
- 03 Last updated May 2026.
- 04 Any module can become a hands-on lab in Labs Studio.
What you'll be able to do
- 01 Explain the MLOps lifecycle and where each tool fits in the production pipeline
- 02 Identify experiment parameters and metrics to track with MLflow across training runs
- 03 Build an end-to-end SageMaker Pipeline for data processing, training, and model registration
- 04 Apply FastAPI and Docker to serve trained models as production REST endpoints
- 05 Automate model retraining and deployment with GitHub Actions CI/CD workflows
- 06 Evaluate model health in production using data drift and performance monitoring with Evidently AI
- — Intermediate Python and familiarity with pandas and scikit-learn
- — Basic understanding of machine learning concepts: training, evaluation, and model serialization
- — Familiarity with Docker and the Linux command line
- — An AWS account with SageMaker access (free tier sufficient for exercises)
Before you start
How long does it take?
About 9 hours of lessons, videos and hands-on walkthroughs across 4 modules.
What’s free?
Module 1 in full — lessons, hands-on walkthrough and quiz — with no card required. Any paid plan (from $8.99/mo) unlocks all 4 modules, and starts with a 14-day free trial.
Start the course with Module 1 free.
No card required. Unlock every module from $8.99/mo when you’re ready.