You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
GIAC (SANS)GIAC Machine Learning Engineer
The GIAC Machine Learning Engineer (GMLE) certification validates a practitioner's ability to apply practical data science, statistics, probability, and machine learning to real-world cybersecurity challenges. Designed for SOC analysts, security engineers, and data scientists, it proves you can build and deploy ML-driven tools for threat hunting, security monitoring, and anomaly detection. Earning GMLE demonstrates deep fluency in the realities of ML in the security landscape, strengthening your SOC with hands-on, performance-based validation.
Exam formatCyberLive (hands-on, performance-based)
Duration180 minutes
DeliveryGIAC (via ProctorU for remote, Pearson VUE for onsite)
Passing score65%
Free questions417
Content last reviewed 30 July 2026 · Up to date
The certification
What GIAC Machine Learning Engineer proves, and what it asks of you
What this certification covers, who it is written for, and what the exam itself looks like on the day.
3domains
10objectives
77concepts
What it is
What this certification is
What it validates, who it is written for, and the experience it assumes.
About this certification
The GIAC Machine Learning Engineer (GMLE) certification validates a practitioner's knowledge of practical data science, statistics, probability, and Machine Learning. GMLE certification holders are qualified to leverage Machine Learning to perform effective threat hunting and security monitoring, to create effective tools and utilities, and to solve real-world cyber security problems. The certification is designed for professionals who need to apply ML principles to strengthen their Security Operations Center (SOC) and respond to evolving threats.
GMLE covers a broad spectrum of ML topics, from data acquisition and Python scripting to supervised and unsupervised learning, neural networks, and anomaly detection. The exam is delivered in a hands-on CyberLive format, replacing traditional multiple-choice testing with performance-based challenges in realistic lab environments. This ensures that certified professionals not only understand ML concepts but can also apply them using real security tools and authentic code, demonstrating their ability to make a tangible impact in their organizations.
Who it’s for
The GIAC Machine Learning Engineer certification is for data scientists, forensic analysts, security analysts, and security engineers who want to understand and apply Machine Learning to strengthen their SOC. It is also ideal for infosec professionals seeking to leverage ML for threat hunting, security monitoring, and building effective tools and utilities. Candidates should have a foundational understanding of cybersecurity concepts and a desire to apply data science and ML techniques to solve real-world security problems. The certification is designed for practitioners who need to move beyond theory and demonstrate hands-on capability in using ML to improve security operations.
Recommended experience
Practical work experience in cybersecurity or data science, along with college-level courses or self-paced study in relevant topics, is recommended to ensure mastery of the skills necessary for certification. Practical work experience in cybersecurity or data science; College-level courses or self-paced study in data science, statistics, or machine learning; Familiarity with Python scripting and data manipulation; Understanding of security operations and threat hunting concepts
The syllabus
What you’ll learn
Every domain and objective GIAC (SANS) measures, with the weight they carry on the exam.
The official GIAC (SANS) exam outline · checked 30 July 2026 · See the source
Foundational Data Science and Statistics
- Data Acquisition
- Leveraging Python
- Probability and Frequency
- Statistics Fundamentals
Machine Learning Algorithms
- Clustering
- Regressions
- Supervised Learning
Advanced Machine Learning and Neural Networks
- Anomaly Detection and Optimization
- Convolutional Neural Networks
- Neural Networks
On the day
The exam itself
Everything GIAC (SANS) publishes about sitting it, and nothing we inferred.
Prerequisites
No mandatory prerequisites — this certification has no required predecessor exam or credential.
CertificationGIAC Machine Learning Engineer
Exam formatCyberLive (hands-on, performance-based)
Duration180 minutes
Questions82 questions
Passing score65%
DeliveryGIAC (via ProctorU for remote, Pearson VUE for onsite)
LanguagesEnglish
After you pass
Where this credential goes next
The path GIAC (SANS) lays out, how the credential is kept, and where to book.
Step-by-step path to GIAC Machine Learning Engineer
Credential earnedGIAC Machine Learning Engineer Certification Renewal and maintenance
GIAC certifications must be renewed every four years by earning 36 CPE credits or retaking the exam. Stay current with the latest technologies and maintain your certification.
Learn more about renewal requirements Lifecycle status
This certification is currently active and available. GIAC (SANS) maintains this certification to validate current skills and industry relevance.
Exam status: ActiveMaintained by GIAC (SANS)
Exam registration
Register for the exam through GIAC (via ProctorU for remote, Pearson VUE for onsite), GIAC (SANS)’s authorized testing partner.
Schedule your examVisit the official GIAC (SANS) certification page for exam policies and requirements.
View the official pageYour coach
And when you are serious, your coach Pip takes over
Your coach in the app reads what you have answered with the book closed and tells you one thing to do tonight. It will not count an answer you gave with the page open, and it will tell you when you are not ready.
See how the coach worksBefore you book
Questions people ask
How does the GMLE exam relate to other GIAC AI-focused certifications?
GMLE is a Practitioner-level certification focused on machine learning for security operations. It is distinct from other AI-focused GIAC certifications like GASAE (AI Security Automation Engineer) and GAIPS (AI Platform Security), which cover different aspects of AI in security.
Is the GMLE exam hands-on?
Yes, the GMLE exam uses the CyberLive format, which replaces traditional multiple-choice testing with performance-based challenges in realistic lab environments. You will work with virtual machines, real security tools, and authentic code to demonstrate your skills.
What is the retake policy for the GMLE exam?
GIAC does not publicly specify a retake policy for the GMLE exam. For detailed information, candidates should refer to the GIAC account or contact GIAC directly.
How soon will I receive my GMLE exam results?
GIAC does not publicly specify the exact timeline for score reporting. Candidates should check their GIAC account for updates after completing the exam.
What job roles does the GMLE certification map to?
The GMLE certification is designed for data scientists, forensic analysts, infosec professionals, security analysts, and security engineers who want to apply machine learning to strengthen their SOC.
Can I recertify GMLE by passing a different GIAC exam?
GIAC certifications can be renewed by retaking the same exam or by earning CPE credits. Passing a different GIAC exam does not automatically renew GMLE, but CPEs earned from other certifications may count toward renewal.
Are there regional differences in GMLE exam delivery?
GIAC offers both remote proctoring through ProctorU and onsite proctoring through Pearson VUE, providing flexibility for candidates worldwide. Specific availability may vary by region.
Information freshness · Content last reviewed on 2026-07-30 Up to date
Practice free questions 417 questions, free, no account needed.
The curriculum
The whole exam, mapped and written
Every domain, every objective, and every concept GIAC (SANS) measures — each one written out.
3domains
10objectives
77concepts
87free pages
The domains, and what sits inside them
Every objective below is a page you can open and practise now, without an account.
The official GIAC (SANS) exam outline · checked 30 July 2026 · See the source
1Foundational Data Science and Statistics170 questions
2Machine Learning Algorithms121 questions
3Advanced Machine Learning and Neural Networks126 questions
Not a table of contents
Every line on this map already opens
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
Data Acquisition8 pagesOpen →
Free in front of it
39 questions on this objective, five to a page. Every range above is a real page, open now, with no account.
Reading the map is not the same as knowing the ground
The curriculum tells you what is on the exam. Proving you know it is a different job — and it is the one the closed-book run does.
Free questions
417 questions. No account, no card.
The whole bank is open. 5 questions to a page, every answer explained, and a discussion thread on each one.
417questions
87pages
10objectives
Freealways
Browse by domain
Every objective, and every page range, is a link — so you can pick up exactly where you left off.
1Foundational Data Science and Statistics170 questions
2Machine Learning Algorithms121 questions
3Advanced Machine Learning and Neural Networks126 questions
What a practice page gives you
1Five to a page
Short enough to finish, long enough to matter.
2Every answer explained
Not only which one is right — why the others are wrong.
3A discussion on each
Ask, answer, and vote. Every question has its own thread.
A question, and the idea behind it
Every question comes from a concept
These are not trivia. Each one is written against a concept in the book, so when you get one wrong there is somewhere to go and find out why.
The visual book
See it once. Carry it into the exam.
The pages shown here come from our AI-900 book — an example of how each concept is written in plain language and, where the idea needs one, drawn as a full page you can take in at a glance.
77concepts
417free questions
Why a picture, and not another paragraph
Three reasons, and each one is a real finding rather than a slogan.
You can see it againThe whole idea at onceWhere it starts, what happens in the middle, what comes out, and the mistake to avoid.
Multimedia principle · MayerThe look-alikes sit togetherThe pairs the exam tests are drawn side by side, so the difference is seen, not told.
Dual coding · PaivioWhat one page is made of
You are never asked to read a poster here — only to see how one is built. After that, every other page is legible at a glance.
1A numbered strip on top
The idea as a sequence, followed with a finger before a word is read.
2Panels for the parts
What it is, how the machine learns it, when it is the right tool.
3The trap, framed
The distinction the exam tests, given its own box instead of buried in prose.
4One line at the bottom
The sentence to carry into the exam room.
Open book, on purpose
Answer it with the picture beside you
This is the part that teaches. The illustration and the written explanation stay where they are while you work, so a scenario stops being a memory test and becomes something you can simply look at.
It teaches · it does not count
A smartphone uses AI to unlock when the owner looks at the camera. Which AI capability is being used?
AImage classification
BFacial recognition
COptical character recognition
DObject detection
Look at the five steps. Detect finds a face, align straightens it, encode turns it into numbers, search compares it with a stored face, and decide answers one question: is this the same person? Classification would only say “a face”. Detection would only draw a box. Neither decides whose.
Then the page shuts, and it starts counting
The same questions come back with the book closed — that run is the one that counts. After it, your coach picks one thing for tonight, sized to the time you have, and brings pages back before you lose them.
Testing effect · Roediger & Karpicke 2006 · spacing effect · Cepeda et al. 2006
Official resources
Straight from GIAC (SANS)
Where the exam is defined, scheduled and scored.
1official link
77concepts mapped
The source
GIAC (SANS)’s own pages
We link to them rather than repeat them, so nothing here goes stale behind them.
Checked against the source
Every objective on the official GIAC (SANS) outline already has questions here
We build from the official skills outline, not from a summary of it — 10 objectives, 77 concepts written under them, and free questions against every one. When GIAC (SANS) changes the outline, this page changes with it.
10objectives on the outline→77concepts written→417free questions
An official page tells you what will be asked. It cannot tell you what you will get right.
That is the only question worth answering the night before, and no link answers it. You answer it by taking the questions with the book closed, and seeing what comes back.