Deep Learning Courses Online

Deep learning is a branch of machine learning that uses neural networks with many layers to model complex patterns. These courses cover the core concepts you need to build and train deep neural networks. The shortlist below holds one course that matches the most common reader profile.

Neural Networks and Deep Learning on Coursera is the top pick for beginners. It requires no prior deep learning knowledge, stays under 25 hours, and awards a shareable certificate upon completion.

Which course fits you

Free vs paid here

No free options exist in the current catalogue. The single listed course is a paid offering on Coursera. It provides a certificate and self-paced mode. Free deep learning courses are available on other platforms, but they are not part of this data set.

Learning path

This course fits the beginner stage. It introduces the mathematical building blocks of neural networks and how to apply them to real-world problems.

Providers for this topic

Coursera is the only provider in the supplied data. It offers one deep learning course with a certificate.

Careers this feeds

Data Scientist is the career guide supplied. This role leans on skills in building and training neural networks, which this course introduces.

FAQ

1. What is deep learning? It is a machine learning method that uses neural networks with multiple layers to learn from data.
2. Do I need math before starting? Basic algebra and familiarity with Python help, but the listed course is rated for beginners.
3. How long does it take to learn? The listed course takes 24 hours 35 minutes to complete at a self-paced pace.
4. Will I get a job with this certificate? The course provides a shareable certificate, but job placement is not guaranteed and is not covered by the data.
5. Can I take this for free? No free options are in the current course set; all listed courses are paid.
6. Is prior programming experience required? The course is marked beginner level, so prior experience is not required, though Python familiarity is useful.