Eligibility
Certified Responsible AI Specialist (CRAIS)
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.
Exam Structure
Exam Format
| Exam Type | Online, Proctored |
|---|---|
| Duration | 120 Minutes |
| Questions Types | Multiple Choice, Case Studies, Scenario-Based |
| Number of Questions | 50–60 |
| Difficulty Level | Intermediate to Advanced |
| Passing Score | 70% |
| Languages | English |
| Mode | Web-based (GloAI Exam Portal) |
Scoring & Results
- Each questions carries equal weight
- No negative marking.
- Passing criteria: 70% (35 out of 50 questions).
- Candidates receive instant provisional results on completion.
- Official certificate and transcript available within 48 hours.
Retake Policy
- You can retake the exam up to 2 times within 6 months.
- Each retake requires a separate exam purchase.
- GloAI recommends completing the Practice Exam before retaking.
Sample Test
Sample Question Panel
Question:
What is the primary goal of supervised learning?
Options:
Review
25 Unanswered
20 Answered
Exam Completed
You will receive your score soon.
Timed Exams
Automatic timer and progress bar help track completion time.
Question Review Panel
Mark questions for review and revisit before submission
Secure Proctoring
Built-in AI proctoring ensures integrity
Real World Scenarios
Interactive case-based questions for practical skill validation
Instant Results
See your provisional score immediately after submission
Have Technical Questions ?
Our support team is available during exam hours
Career Path
A progression from entry to leadership, aligned with certifications.
Entry-Level Roles
After CAIP / CAIE
- AI Practitioner
- Junior AI Engineer
- Data Analyst / AI Technician
Intermediate Roles
After CRAIS / CGAIS / Technical Specializations
- Machine Learning Engineer
- Data Scientist
- Generative AI Developer
- Computer Vision Engineer
- Cloud AI Engineer
- Responsible AI Specialist
Advanced Roles
After Industry or Specialized Certifications
- AI Consultant (Finance, Healthcare, Manufacturing, etc.)
- AI Solutions Architect
- AI Research Engineer
- AI Security & Privacy Specialist
Leadership Roles
After CAIL / CAITO / CAIGR
- AI Product Manager
- Head of AI / Director of Data Science
- AI Transformation Officer
- Chief AI Officer (CAIO)
- AI Governance & Risk Director
Entry-Level Roles
After CAIP / CAIE
- AI Practitioner
- Junior AI Engineer
- Data Analyst / AI Technician
Advanced Roles
After Industry or Specialized Certifications
- AI Consultant (Finance, Healthcare, Manufacturing, etc.)
- AI Solutions Architect
- AI Research Engineer
- AI Security & Privacy Specialist
Intermediate Roles
After CRAIS / CGAIS / Technical Specializations
- Machine Learning Engineer
- Data Scientist
- Generative AI Developer
- Computer Vision Engineer
- Cloud AI Engineer
- Responsible AI Specialist
Leadership Roles
After CAIL / CAITO / CAIGR
- AI Product Manager
- Head of AI / Director of Data Science
- AI Transformation Officer
- Chief AI Officer (CAIO)
- AI Governance & Risk Director
Career Growth Ladder
| Level | Typical Roles | Relevant Certifications |
|---|---|---|
| Entry-Level | AI Technician, Data Analyst | CAIP |
| Mid-Level | AI Engineer, ML Engineer, AI Developer | CAIE, CRAIS, CGAIS |
| Advanced | AI Architect, AI Consultant, Security Specialist | CLLMS, CCVE, CAICE, CAISPS, Industry Certs |
| Leadership | Head of AI, AI Product Manager, CAIO | CAIL, CAITO, CAIGR, CEAIR |
Certification Pathway
GlofAI Learning Path (Certification Progression)
01
Foundation
02
Core
03
Specialized
04
Industry
05
Leadership
01
Stage 1 — Foundation
Certified AI Practitioner (CAIP) – Foundational skills in AI, data, and ML.
02
Stage 2 — Core AI Competency
- Certified AI Engineer (CAIE) – Core technical certification.
- Certified Responsible AI Specialist (CRAIS) – Ethics, bias mitigation, compliance.
- Certified Generative AI Specialist (CGAIS) – Prompt engineering, generative AI tools.
03
Stage 3 — Specialized Technical Expertise
- Certified LLM Specialist (CLLMS) – NLP & Large Language Models.
- Certified Computer Vision Expert (CCVE) – Imaging, video analytics, AR/VR.
- Certified AI Cloud Engineer (CAICE) – AI on AWS, Azure, GCP, Databricks.
- Certified AI Security & Privacy Specialist (CAISPS) – AI risks, privacy, cybersecurity.
04
Stage 4 — Industry-Specific Applications
- Finance & Banking: Certified AI in Financial Services (CAIFS)
- Healthcare: Certified AI in Healthcare (CAIH)
- Retail & Supply Chain: Certified AI in Retail & Supply Chain (CAIRSC)
- Manufacturing: Certified AI in Manufacturing (CAIM)
- Public Sector & Policy: Certified AI in Policy & Governance (CAIPG)
05
Stage 5 — Executive & Enterprise Leadership
- Certified AI Leader (CAIL) – Strategic, leadership-level AI management.
- Certified AI Transformation Officer (CAITO) – C-suite strategy & transformation.
- Certified Enterprise AI Ready (CEAIR) – AI governance framework for organizations.
- Certified AI Governance & Risk Expert (CAIGR) – Compliance & regulatory strategy.
Stage 1 — Foundation
Goal: Build baseline AI knowledge and confidence.
Certified AI Practitioner (CAIP) – Foundational skills in AI, data, and ML.
Stage 2 — Core AI Competency
Goal: Master model development and deployment.
- Certified AI Engineer (CAIE) – Core technical certification.
- Certified Responsible AI Specialist (CRAIS) – Ethics, bias mitigation, compliance.
- Certified Generative AI Specialist (CGAIS) – Prompt engineering, generative AI tools.
Stage 3 — Specialized Technical Expertise
Goal: Deep dive into specific domains of AI technology.
- Certified LLM Specialist (CLLMS) – NLP & Large Language Models.
- Certified Computer Vision Expert (CCVE) – Imaging, video analytics, AR/VR.
- Certified AI Cloud Engineer (CAICE) – AI on AWS, Azure, GCP, Databricks.
- Certified AI Security & Privacy Specialist (CAISPS) – AI risks, privacy, cybersecurity.
Stage 4 — Industry-Specific Applications
Goal: Apply AI to real-world sectors.
- Finance & Banking: Certified AI in Financial Services (CAIFS)
- Healthcare: Certified AI in Healthcare (CAIH)
- Retail & Supply Chain: Certified AI in Retail & Supply Chain (CAIRSC)
- Manufacturing: Certified AI in Manufacturing (CAIM)
- Public Sector & Policy: Certified AI in Policy & Governance (CAIPG)
Stage 5 — Executive & Enterprise Leadership
Goal: Lead AI strategy and enterprise adoption.
- Certified AI Leader (CAIL) – Strategic, leadership-level AI management.
- Certified AI Transformation Officer (CAITO) – C-suite strategy & transformation.
- Certified Enterprise AI Ready (CEAIR) – AI governance framework for organizations.
- Certified AI Governance & Risk Expert (CAIGR) – Compliance & regulatory strategy.
| Level | Focus | Example Certifications |
|---|---|---|
| Beginner | Foundations | CAIP |
| Intermediate | Core AI Skills | CAIE, CRAIS, CGAIS |
| Advanced | Specialized Technical | CLLMS, CCVE, CAICE, CAISPS |
| Expert | Industry Applications | CAIFS, CAIH, CAIRSC, CAIM, CAIPG |
| Leader | Strategic & Enterprise | CAIL, CAITO, CEAIR, CAIGR |