Program profile · official sources
TensorFlow: Advanced Techniques Specialization
The TensorFlow: Advanced Techniques Specialization by DeepLearning.AI on Coursera is an intermediate-level, four-course program that expands upon foundational TensorFlow skills. Instructed by Laurence Moroney and Eddy Shyu, the curriculum covers building exotic non-sequential model types, custom loss functions, and layers using the Functional API. Students learn to optimize training with GradientTape and Autograph, apply advanced computer vision techniques like object detection and image segmentation, and explore generative deep learning through AutoEncoders, VAEs, and Generative Adversarial Networks. The fully online, self-paced program has a provider estimate of two months at ten hours a week to complete. Earning the shareable career certificate requires completing all four courses and hands-on 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
- 2 months to complete at 10 hours a week. FAQ notes 3-4 weeks to complete each course at 5 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
- Working knowledge of AI and deep learning, intermediate Python skills (decorators and context managers preferred), and experience with a deep learning framework (TensorFlow, Keras, or PyTorch). Proficiency in basic calculus, linear algebra, and statistics is required. The Deep Learning Specialization is highly recommended prior to starting.
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
- Custom Models, Layers, and Loss Functions with TensorFlow
- Custom and Distributed Training with TensorFlow
- Advanced Computer Vision with TensorFlow
- Generative Deep Learning with TensorFlow
Prerequisites: Working knowledge of AI and deep learning, intermediate Python skills (decorators and context managers preferred), and experience with a deep learning framework (TensorFlow, Keras, or PyTorch). Proficiency in basic calculus, linear algebra, and statistics is required. The Deep Learning Specialization is highly recommended prior to starting.
What you actually do
- Custom Models, Layers, and Loss Functions with TensorFlow : 31 hours; Course 1 · Source
- Custom and Distributed Training with TensorFlow : 24 hours; Course 2 · Source
- Advanced Computer Vision with TensorFlow : 19 hours; Course 3 · Source
- Generative Deep Learning with TensorFlow : 16 hours; Course 4 · Source
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / tensorflow-advanced-techniques
- Credential
- Career certificate · www.coursera.org / tensorflow-advanced-techniques
- Issuer
- DeepLearning.AI · www.coursera.org / tensorflow-advanced-techniques
- Sharing
- Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / tensorflow-advanced-techniques
- 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-advanced-techniques
Who should skip it
Alternatives in the registry
Related by topic or level.
- 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..
- TensorFlow: Data and Deployment Specialization : Check official price; 4 weeks to complete at 10 hours a week..
Change log
- : Initial recorded review of official program details. · Source