TF DevTensorFlow Developer Certificate
Performance-based ML with TensorFlow
Details last reviewed October 2026. Fees and exam formats change — always confirm on the official page.
About this certification
The TensorFlow Developer Certificate is a hands-on, performance-based credential that tests ability to build and train neural networks in Python using TensorFlow. The exam is taken in a PyCharm IDE environment — you write real code, not answer multiple-choice questions.
What you'll validate
- ✓Neural network fundamentals in TensorFlow
- ✓Computer vision with CNNs
- ✓NLP with sequence models
- ✓Time series forecasting
Pros & Cons
Advantages
- +Very affordable ($100)
- +Performance-based — proves real coding ability
- +Well-respected in the ML community
Disadvantages
- −TensorFlow-specific (vs PyTorch)
- −Less recognized by HR than cloud certs
Who it's for
Best for
- →ML practitioners who want to prove coding ability
- →Those learning deep learning for the first time
Not ideal for
- ×Those targeting cloud platform roles
- ×Non-Python developers
Career paths this unlocks
TF Dev: quick answers
- How much does the TF Dev exam cost?
- The listed exam fee is $100 (USD). Fees vary by region and change over time — confirm on the official page before you buy.
- How long does it take to prepare for TF Dev?
- We estimate roughly 100 hours of study for most candidates; your time depends on prior experience.
- How long is the TF Dev exam?
- The exam is 300 minutes.
- How long is the TF Dev credential valid?
- 3 years.
Study resources
This exam is retired, so we no longer list prep courses or practice tests for it. Check the official page for the issuer's current options.
Jobs for TF Dev holders
Pay depends on role, location, and experience more than on any single credential. Check current postings below for real ranges in your market.
LinkedIn Jobs
Posted in the last 7 days
Indeed
Dice (tech roles)
Tech-focused job board
Job links open external sites. Search results are live and not curated by MyCertPath.
Quick Facts
- Exam Cost
- $100
- Exam Duration
- 300 minutes
- Exam Format
- Performance-Based (hands-on)
- Study Time
- ~100 hours
- Validity
- 3 years
- Salary Impact
- Moderate (editorial rating)
- Last Reviewed
- October 2026
Prerequisites
- !Python programming proficiency
- !Basic ML knowledge
Provider
TensorFlow / Google
Machine learning and deep learning certification
Actyra Training
Custom eLearning built on the science of how people actually learn
Actyra designs and builds cert-prep training programs for enterprise teams — custom courseware grounded in cognitive science.
Talk to a training expert →