Program profile · official sources
TensorFlow: Data and Deployment Specialization
The TensorFlow: Data and Deployment Specialization by DeepLearning.AI on Coursera is an intermediate-level, four-course program teaching how to get machine learning models into the hands of real people across devices. Instructed by Laurence Moroney, the curriculum covers training and running models in browsers with TensorFlow.js and preparing models for mobile devices using TensorFlow Lite. Students also learn to build data pipelines with TensorFlow Data Services and explore advanced deployment scenarios with TensorFlow Serving, TensorFlow Hub, and TensorBoard. The self-paced online program has a provider estimate of four weeks at ten hours a week to complete. Earning the shareable career certificate requires completing all four courses and their applied learning projects.
Facts checked 30 Sep 2026
- Price
- See pricing
No specific total price is stated. The FAQ describes subscription access; the paid completion route has no numeric amount in the captured page. Financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
- Time
- 4 weeks to complete at 10 hours a week.
- Level
- Intermediate level
- Credential
- Provider-issued course certificate
Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
- Format
- 100% online, self-paced course
- Prerequisites
- Intermediate level, some related experience required. It is advised as a starting point to master the foundational basics of TensorFlow with the DeepLearning.AI TensorFlow Developer Professional Certificate.
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
- Browser-based Models with TensorFlow.js
- Device-based Models with TensorFlow Lite
- Data Pipelines with TensorFlow Data Services
- Advanced Deployment Scenarios with TensorFlow
Prerequisites: Intermediate level, some related experience required. It is advised as a starting point to master the foundational basics of TensorFlow with the DeepLearning.AI TensorFlow Developer Professional Certificate.
What you actually do
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / tensorflow-data-and-deployment
- Credential
- Career certificate · www.coursera.org / tensorflow-data-and-deployment
- Issuer
- DeepLearning.AI · www.coursera.org / tensorflow-data-and-deployment
- Sharing
- Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / tensorflow-data-and-deployment
- 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-data-and-deployment
Who should skip it
Alternatives in the registry
Related by topic or level.
- TensorFlow: Advanced Techniques Specialization : Check official price; 2 months to complete at 10 hours a week. FAQ notes 3-4 weeks to complete each course at 5 hours a week..
- DeepLearning.AI TensorFlow Developer Professional Certificate : 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.); Overview: 2 months at 10 hours a week. These are provider estimates; no combined completion promise is inferred..
- 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..
Change log
- : Initial recorded review of official program details. · Source