Program profile · official sources
DeepLearning.AI TensorFlow Developer Professional Certificate
The 'DeepLearning.AI TensorFlow Developer Professional Certificate' on Coursera is an intermediate-level, four-course program teaching applied machine learning skills with TensorFlow. Instructed by Laurence Moroney, the curriculum covers building and training deep neural networks, computer vision, natural language processing, and time series analysis. Students will handle real-world image data, process text, and create forecasts using CNNs, RNNs, and LSTMs. The self-paced program takes about two months at ten hours a week to complete, featuring 16 hands-on Python programming assignments. Earning the shareable career certificate requires completing all courses and projects. Overview: 2 months at 10 hours a week. These are separate provider estimates; no combined completion promise is inferred.
Facts checked 29 Sep 2026
- Price
- USD 49 (The US course FAQ states $49/month for access to all four courses until the subscription ends. It separately describes a one-time $49 single-course payment with access for 180 days or until completion. These are different payment scopes, not a total completion cost.)
- Time
- Overview: 2 months at 10 hours a week. These are provider estimates; no combined completion promise is inferred.
- Level
- Intermediate level
- Credential
- Provider-issued certification
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
- Format
- 100% online, self-paced course
- Prerequisites
- Not listed
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
What’s covered
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
- Convolutional Neural Networks in TensorFlow
- Natural Language Processing in TensorFlow
- Sequences, Time Series and Prediction
What you actually do
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning : 22 hours; Course 1 · Source
- Convolutional Neural Networks in TensorFlow : 16 hours; Course 2 · Source
- Natural Language Processing in TensorFlow : 23 hours; Course 3 · Source
- Sequences, Time Series and Prediction : 22 hours; Course 4 · Source
What the credential is
- Credential type
- Provider-issued certification · www.coursera.org / tensorflow-in-practice
- Credential
- Professional Certificate · www.coursera.org / tensorflow-in-practice
- Issuer
- DeepLearning.AI · www.coursera.org / tensorflow-in-practice
- Sharing
- Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / tensorflow-in-practice
- Exam requirement
- The page describes course completion and applied learning assignments/projects; it does not explicitly establish whether an exam is required. · www.coursera.org / tensorflow-in-practice
Who should skip it
Alternatives in the registry
Related by topic or level.
- Deep Learning Specialization : Check official price; 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..
- Natural Language Processing Specialization : Check official price; Overview: 3 months at 10 hours a week. FAQ: at 5 hours a week, each course typically takes 4 weeks. These are separate provider estimates; no combined completion promise is inferred..
- AI Fundamentals : DataCamp Premium : USD 35/month for course content, billed monthly at the regular price; Approximately 9 hours.
Change log
- : Initial recorded review of official program details. · Source