Program profile · official sources
Deep Learning Specialization
The 'Deep Learning Specialization' by DeepLearning.AI on Coursera is an intermediate-level, five-course program that helps learners master deep learning fundamentals and break into AI. Instructed by Andrew Ng, Younes Bensouda Mourri, and Kian Katanforoosh, the curriculum covers building and training neural network architectures such as CNNs, RNNs, LSTMs, and Transformers using Python and TensorFlow. Students will tackle real-world cases like speech recognition, machine translation, and natural language processing. The self-paced program takes about three months at ten hours a week to complete. It includes hands-on applied learning projects and offers an ACE recommendation of 10 college credits. Earning the shareable career certificate requires completing all courses and projects. Overview: 3 months at 10 hours a week. FAQ: at 5 hours a week, each course typically takes 5 weeks except course 3, which takes about 4 weeks. These are separate provider estimates; no combined completion promise is inferred. Acceptance of the ACE credit recommendation is decided by each institution and is not guaranteed.
Facts checked 28 Sep 2026
- Price
- See pricing
As shown in the United States on 28 September 2026: No specific total price is stated. Subscription is required for full access. Financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
- Time
- Overview: 3 months at 10 hours a week. FAQ: at 5 hours a week, each course typically takes 5 weeks except course 3, which takes about 4 weeks. These are separate provider estimates; no combined completion promise is inferred.
- Level
- Intermediate level
- Credential
- Provider-issued certification
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- Format
- 100% online, self-paced course
- Prerequisites
- Learners should have intermediate Python experience (e.g., basic programming skills, understanding of for loops, if/else statements, data structures such as lists and dictionaries). Recommended: basic knowledge of linear algebra (matrix-vector operations and notation) and machine learning concepts (how to represent data, what an ML model does, etc.).
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
Prerequisites: Learners should have intermediate Python experience (e.g., basic programming skills, understanding of for loops, if/else statements, data structures such as lists and dictionaries). Recommended: basic knowledge of linear algebra (matrix-vector operations and notation) and machine learning concepts (how to represent data, what an ML model does, etc.).
What you actually do
- Neural Networks and Deep Learning : 25 hours; Course 1 · Source
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization : 24 hours; Course 2 · Source
- Structuring Machine Learning Projects : 7 hours; Course 3 · Source
- Convolutional Neural Networks : 36 hours; Course 4 · Source
- Sequence Models : 37 hours; Course 5 · Source
What the credential is
- Credential type
- Provider-issued certification · www.coursera.org / deep-learning
- Credential
- Career certificate · www.coursera.org / deep-learning
- Issuer
- DeepLearning.AI · www.coursera.org / deep-learning
- Sharing
- Add to your LinkedIn profile, resume, or CV. Share it on social media. · www.coursera.org / deep-learning
- Exam requirement
- Complete all courses and the applied learning projects. · www.coursera.org / deep-learning
Who should skip it
Alternatives in the registry
Related by topic or level.
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- IBM Generative AI Engineering Professional Certificate : Coursera Plus Monthly : USD 59 / month regular; USD promotional terms; not available to residents of India. Outside the US, local currency and pricing are shown at checkout.; Estimated 6 months at 6 hours a week; self-paced.
Change log
- : Initial recorded review of official program details. · Source