Ai Ml · beginner
Introduction to Machine Learning
Understand machine learning concepts and build your first ML models. Learn supervised and unsupervised learning, model evaluation, and how to use ML on AWS SageMaker and Azure ML.
- 3 hours
- 10 lessons
- 3 modules
- updated April 2026
Module 1 freeNo credit cardFull course from $8.99/mo
try it
Try it before you sign up
Read a full lesson and answer 2 questions from the Module 1 quiz. No account needed.
free lesson · video · 8 min
Machine Learning in 100 Seconds
question 1 of 2 · from the Module 1 quiz
What is overfitting in machine learning?
Pick an answer.
curriculum
3 modules, 10 lessons
Module 1 is free — lessons, hands-on walkthrough and quiz.
- videoMachine Learning in 100 Seconds8 min
- readMachine Learning Concepts15 min
- hands-onML with Scikit-learn CLI20 min
- quizQuiz: ML Fundamentals8 min
how it's built
Built by the CloudaQube team
No celebrity instructor — here is exactly what goes into the course instead.
- 01 1 guided hands-on walkthroughs you run in a real environment.
- 02 3 module quizzes — every answer comes with an explanation.
- 03 Last updated April 2026.
- 04 Any module can become a hands-on lab in Labs Studio.
outcomes
What you'll be able to do
- 01 Understand core ML concepts and algorithms
- 02 Train and evaluate classification and regression models
- 03 Understand overfitting, cross-validation, and feature engineering
- 04 Use SageMaker and Azure ML for cloud-based training
- 05 Deploy ML models as APIs
before you start
- — Python basics
- — Basic statistics knowledge
questions
Before you start
How long does it take?
About 3 hours of lessons, videos and hands-on walkthroughs across 3 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 3 modules, and starts with a 14-day free trial.
get started
Start the course with Module 1 free.
No card required. Unlock every module from $8.99/mo when you’re ready.