The Certified Deep Learning Engineer (CDLE) is an advanced, vendor-neutral certification for the engineers who build deep neural networks. It validates that you understand network foundations and activations, can train deep networks and diagnose gradient and learning-rate problems, can choose CNNs, RNNs and transformers to match the data, can regularize, tune and evaluate honestly, can deploy efficiently with the right frameworks and hardware, and can apply transfer learning, generative models and responsible practice. The exam is computer adaptive and performance-based, and the credential is kept current through continuing education.
| Level | Advanced. An engineer-level credential: it goes deep on building and training neural networks and assumes working ML or software experience. |
|---|---|
| Delivery model | Computer adaptive, three stages. Your score on each stage selects the difficulty of the next, so no two candidates sit the same paper. |
| Format | 120 questions. A performance-based exam that includes performance-based questions and multiple-choice questions. Concepts transfer across every framework and platform. |
| Time | 180 minutes for the whole exam, timed. Autosaves every answer. |
| Scoring | You need a score of 700 out of 900 to pass. Results are reported on a scale of 100 to 900, and 700 corresponds to answering 72% of the exam correctly. Harder questions carry more weight, so a score means the same thing on any route. Multiple-response items and PBQs are all or nothing. |
| Retakes | No waiting period after a failed first attempt. Every attempt is paid for at the exam price. See the CertLabz Certification Retake Policy. |
| Voucher validity | 12 months from purchase, for one sitting. |
| Certification validity | 3 years. Renew with 75 CEUs per cycle and the $55 annual CE fee, or pass the current exam. Renewal details. |
| Language | English. |
| Credential | PDF certificate with QR code, public verification page, LinkedIn-ready credential ID. Issuer: CertLabz Certification Board. |
| Free resources | The exam objectives PDF and the ten sample questions PDF. |
| Workforce mapping | NICE Framework work roles: Technology Research and Development (DD-WRL-008). O*NET occupations: Computer and Information Research Scientists (15-1221.00), Software Developers (15-1252.00). Self-declared by CertLabz, not reviewed by NIST or CISA. See the full mapping. |
A signed, verifiable:
The CDLE is a performance-based exam: it includes performance-based questions alongside multiple-choice questions. Instead of only picking A, B, C or D, you match architectures to data, diagnose a training failure, order a tuning and evaluation flow, and choose the responsible action. It is computer adaptive, is proctored and timed, needs no mandatory course, and tests building deep learning rather than reciting architectures.
Neurons, activations and loss, backpropagation, learning rate and gradient problems.
CNNs, RNNs and transformers, embeddings and foundation models, matched to the data.
Dropout, weight decay, early stopping, augmentation and honest, leakage-free evaluation.
Frameworks, GPUs, optimization and distributed training, plus generative safety and oversight.
Deep learning powers modern AI, from vision and language to generative systems, and skilled deep learning engineers are among the most sought-after and best-paid in tech. Every route is shown here at once, so nothing is hidden behind a control you have to find.
United States pay reported by Glassdoor, checked September 2026. Pay varies by location, employer and experience. No certification guarantees a salary or a job.
| CertLabz CDLE | TensorFlow Developer Certificate | |
|---|---|---|
| What it is | Certification exam | Certification exam |
| Computer adaptive | Yes | No |
| Hands-on PBQs | Yes | Coding tasks |
| Scope | Deep learning, vendor neutral | TensorFlow coding skills |
| Vendor neutral | Yes | Framework-specific |
| Proctored | Yes | Yes |
| Questions | 120 | Coding exercises |
| Time | 180 min | Up to 5 hours |
| Pass mark | 700 of 900 | Not published |
| Course required | No | No |
| Exam voucher | $199 | $100 |
Compiled September 2026 from the TensorFlow Developer Certificate materials. That credential tests coding in one framework; the CDLE is vendor neutral and covers deep learning end to end. Product names and trademarks belong to their owners; CertLabz is not affiliated with any of them. Confirm current details with each provider.
Six reasons this credential is worth your time, and worth an employer's attention.
One price for the exam, set by its level. Bundles add the study guide and hands-on practice at a saving.
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Every form is drawn from a bank of more than 130 items to these exact weights, whichever adaptive route you take. Filter by the area you want to study.
The exam runs in three stages. Your score on each stage selects the difficulty of the next, so a strong candidate is stretched and a struggling one is measured fairly rather than swamped. No two candidates sit the same paper. Harder questions carry more weight, so a scaled score means the same thing whichever route you took.
Each exam can have up to 5 to 12 performance-based questions, drawn fresh on every attempt, alongside the multiple-choice questions. A PBQ is a task rather than a list: you match architectures to data, diagnose a training failure, order a tuning flow, or choose the responsible action. They are scored all or nothing, so partial guesses do not pass.
Yes. Frameworks, hardware and architectures are described generically. Where a question involves a component, it is described by what it does, not by one product's API.
No. It is a proctored knowledge and judgement exam with performance-based questions. It tests understanding of building, training and deploying deep networks, not live coding in one framework.
700 out of 900. Results are reported on a scale of 100 to 900, and 700 corresponds to answering 72% of the exam correctly.
There is no waiting period between a failed first attempt and a second attempt. Buy another voucher and sit the exam again when you are ready, and it will draw a fresh adaptive form from the bank. See the CertLabz Certification Retake Policy.
Yes, after three years. Keep it current by logging 75 CEUs during the cycle and paying the $55 annual CE fee before expiry, or by passing the current exam again.
The exam objectives PDF and the ten sample questions PDF. The CDLE Official Study Guide is a $50 ebook, included in two of the bundles. Hands-on practice comes with the All Access plan, included in the Complete bundle.
A laptop or desktop with a webcam and microphone, Chrome, Edge or Firefox, a stable connection, and a quiet private room for three hours. Phones and tablets are not supported.
CDLE is a continuing-education certification, like the CE credentials from CompTIA and ISC2. It is valid for three years from the day you pass. To keep it, log 75 continuing-education units during the cycle and pay the $55 annual CE fee before your expiry date. Or pass the current version of the exam again.
CEUs are logged from your CertLabz dashboard with supporting evidence. A certification that lapses can be reinstated only by passing the current exam.
Buy a voucher, study the objectives, sit the exam when you are ready. Your credential is issued the moment you pass.