Current

Intermediate

Neural Networks & Deep Learning

Coursera · deeplearning.AI / Andrew Ng · Updated March 2026

Platform rating

4.5/5

Champ rating

8.3/10

Duration

4 weeks, 7 hours/week

Classes

50

Dive into the fundamentals of neural networks and deep learning with mathematical foundations and practical implementations. Learn about activation functions, backpropagation, and optimization techniques. First course in Andrew Ng's Deep Learning Specialization.

What you'll get

Understand neural network architecture and forward/backward propagation

Implement neural networks from scratch and with frameworks

Master activation functions, loss functions, and optimization

Apply deep learning to classification and regression problems

Build and train neural networks with TensorFlow

Fit

Best for

Leaders

Analysts

Researchers

Decision-makers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Linear algebra, calculus, and Python programming

Pricing

Free to audit, $49 for certificate

Certification

Certificate

deep-learning

neural-networks

tensorflow

backpropagation

optimization

artificial-intelligence

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