The Regulation Reality
Legislation like the EU AI Act isn't just comingƒ?it's here. CRAIS provides the compliance blueprint organizations need to survive.
The CRAIS exam evaluates your ability to apply responsible AI principles, governance frameworks, risk and compliance standards, and bias mitigation techniques in enterprise and regulated environments.
Learn with labs & projects at your own pace.
Timed questions with instant feedback & review.
In the age of generative acceleration, trust is the only currency that lasts.
Legislation like the EU AI Act isn't just comingƒ?it's here. CRAIS provides the compliance blueprint organizations need to survive.
Unchecked AI leads to costly errors. Responsible AI is an economic imperative that safeguards the bottom line.
The demand for AI 'architects' is high, but the demand for 'Responsible AI' leaders is exploding. Position yourself at the forefront.
Designed for professionals applying these capabilities in real delivery environments.
For professionals shipping models, pipelines and AI-enabled products.
For people responsible for development, evaluation, deployment and monitoring.
For teams translating requirements into reliable, responsible AI solutions.
For advisors guiding architecture, adoption, risk and implementation choices.
The assessment spans the domains below. Weightings indicate relative emphasis in the exam.
AI/ML/DL project lifecycles Mathematical foundations Data quality & preprocessing Versioning & governance
Classical ML & Deep Learning Generative AI training paradigms Pretraining vs. Fine-tuning Optimization & Regularization
Deployment & compression strategies Model serving & packaging Infrastructure as Code Scalability & cost management
Model evaluation metrics Robustness & reliability testing Real-time monitoring & observability
Risk management frameworks FATE (Fairness, Acc., Trans., Exp.) Responsible AI practices Regulatory compliance
Finance fraud & retail engines Healthcare summarization Manufacturing maintenance Govt service automation
A 90-minute assessment with 250 questions, a 70% passing threshold, delivered through the GIofAI Exam Portal.
The value of the certification is the combination of controlled assessment, identity verification, domain-level performance evidence and a verifiable professional credential.
A professional GIofAI designation supported by a digital certificate and official transcript. The transcript records section-level performance, giving the credential more context than a simple completion badge.
Identity-verified assessment under controlled examination conditions.
Section-wise performance information for a clearer view of your assessed capability.
A professional credential designed to be verifiable and shareable with employers and professional networks.
Use CRAIS as a core credential before moving into deeper specialisations.
Get the certification overview, domain weightings, exam format and preparation guidance in one concise guide.
The CRAIS certification is valid for 2 years. Professionals can renew by taking a delta exam or completing designated continuing education credits.
The exam consists of 56 multiple-choice, case study, and scenario-based questions delivered through a secure, proctored online portal.
While there are no mandatory prerequisites, we recommend 12-18 months of experience in AI/ML engineering, data science, product management, or compliance roles.
Yes, a basic on-screen calculator is provided for any scenario-based questions involving metric thresholds or fairness calculations.
You will receive a provisional pass/fail score immediately after submission. A detailed transcript and digital certificate follow within 48-72 hours.
Take the next step toward the CRAIS professional designation.