Current

Beginner

Machine Learning Specialization

Coursera · Stanford University, DeepLearning.AI · Updated March 2026

Platform rating

4.6/5

Champ rating

8.6/10

Duration

2 months at 10 hours a week

Classes

35

Beginner-friendly three-course program covering supervised and unsupervised learning, neural networks, recommender systems, and best practices.

What you'll get

Build ML models with NumPy and scikit-learn

Train neural networks with TensorFlow

Apply clustering and anomaly detection

Build recommenders and reinforcement learning models

Course Curriculum

7 chapters

Fit

Best for

Developers

AI Engineers

Data Scientists

Technical Builders

Not ideal for

Experts seeking deep specialization

Prerequisites & pricing

Prerequisites

None (beginner-friendly)

Pricing

Subscription (Coursera)

Certification

Certificate

Machine Learning

Supervised Learning

Unsupervised Learning

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