Current

Intermediate

Machine Learning

Coursera · Stanford University / Andrew Ng · Updated March 2026

Platform rating

4.5/5

Champ rating

8.3/10

Duration

4 weeks, 8 hours/week

Classes

56

This comprehensive machine learning course covers algorithms, optimization, and practical implementations with extensive hands-on projects. Master both classical ML and modern deep learning approaches used in industry. One of the most popular and highly-rated ML courses globally.

What you'll get

Understand core machine learning algorithms and theory

Implement supervised and unsupervised learning techniques

Build recommender systems and neural networks

Diagnose and optimize machine learning models

Apply machine learning to diverse real-world problems

Fit

Best for

Leaders

Analysts

Researchers

Decision-makers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Linear algebra and basic programming experience

Pricing

Free to audit, $49 for certificate

Certification

Certificate

machine-learning

algorithms

neural-networks

optimization

supervised-learning

unsupervised-learning

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