DeepLearning.AI · on Coursera
Deep Learning Specialization is a paid intermediate course from DeepLearning.AI, online. It's a paid subscription; the price is on the provider's page. It ends with a professional certificate.
Suits programmers with intermediate Python, basic linear algebra and some machine learning knowledge who want the theory and practice of deep learning from Andrew Ng. What stands out is the depth across five courses, from neural network basics to sequence models and transformers. The main caveat is cost: Coursera says it cannot be taken for free, no price is shown, and it estimates 3 months at 10 hours a week. A free alternative is Practical Deep Learning for Coders from fast.ai.
Checked against DeepLearning.AI on Oct 26, 2026
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DeepLearning.AI's five-course Specialization on Coursera, taught by Andrew Ng. Learners build and train neural networks in Python and TensorFlow, including convolutional and recurrent networks, LSTMs and transformers, and learn to tune, regularise and structure machine learning projects, with applications in computer vision, speech recognition and NLP.
Level: intermediate (as stated by the provider). Delivery: online, self-paced.
Intermediate Python experience, basic linear algebra (matrix-vector operations) and an understanding of machine learning concepts.
Paid subscription. Price on the provider's page.
Certificate: professional certificate. Coursera career certificate from DeepLearning.AI.
Paid subscription. Price on the provider's page.
Yes: professional certificate. The provider calls it "Coursera career certificate from DeepLearning.AI".
It's an intermediate course. Prerequisites: Intermediate Python experience, basic linear algebra (matrix-vector operations) and an understanding of machine learning concepts.
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