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From concepts to systems
Go beyond model names: reason about architectures, modalities, alignment, and capability limits—then apply them to real workflows.
GIofAI Professional Certification
Certified Generative AI Specialist (CGAIS)™
Validate the ability to apply foundational Generative AI concepts, prompt engineering, LLM production practices, responsible/ethical principles, security & compliance controls, and real-world solution design to practical scenarios.
Secure proctored assessment
Vendor-neutral capability validation
Verifiable certificate & transcript
Professional designation
CGAIS™ Career level
Mid Level
CGAIS™ Career level
Mid Level
Duration90 minutes
Questions250 MCQs
Pass threshold70%
LevelIntermediate to Advanced
DeliveryGIofAI Exam Portal
Self-paced Course
Learn with labs & projects at your own pace.
Practice Exam
Timed questions with instant feedback & review.
Professional outcome
Build capability that holds up in production, review, and audit.
Generative AI is moving from experimentation to regulated, high-visibility deployments. This certification emphasizes practical decision-making: interaction design, deployment trade-offs, evaluation, governance, and secure delivery.
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Production-first practice
Evaluate, ground, deploy, and monitor LLMs using pragmatic patterns like RAG, safety layers, observability, and versioning.
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Responsible by design
Incorporate ethics, governance, and security controls into the build—not after launch—so outputs remain trustworthy and auditable.
Who it suits
Designed for professionals working where capability meets real delivery.
Designed for professionals applying these capabilities in real delivery environments.
Practitioners building production systems
For professionals shipping models, pipelines and AI-enabled products.
Engineers & technical specialists
For people responsible for development, evaluation, deployment and monitoring.
Product & solution professionals
For teams translating requirements into reliable, responsible AI solutions.
Consultants & technical strategists
For advisors guiding architecture, adoption, risk and implementation choices.
Exam blueprint
6 domains that reflect the full assessment scope.
The assessment spans the domains below. Weightings indicate relative emphasis in the exam.
Foundations of Generative AI
20%Evolution: expert systems → ML → deep learning → transformers → GenAI LLM architectures (conceptual, vendor-neutral) & attention mechanism basics Pretraining, fine-tuning, and RLHF...
Prompt Engineering & Interaction Design
20%Prompt patterns: zero/few-shot, role-based, chain prompts, structured outputs Advanced prompting: context windows, memory, multi-turn chains, reflection Constraints & formatting: s...
LLMs in Production
20%Adaptation strategies: full fine-tuning, LoRA, adapters, and RAG System integration: APIs, vector databases, orchestration workflows Evaluation: automated metrics + human eval, tru...
Responsible & Ethical Generative AI
15%Risk landscape: hallucinations, bias, toxicity, misinformation, IP concerns Mitigations: grounding, guardrails, moderation, human-in-the-loop review Governance concepts and standar...
Security, Privacy & Compliance in LLMs
15%Privacy fundamentals: PII handling, minimization, anonymization, retention Threats: prompt injection, data exfiltration, model inversion, adversarial inputs Secure architecture: is...
Future of Generative AI & Career Applications
10%Agentic systems: planning, tool-use, and multi-step workflows Multimodal trajectory and enterprise product patterns Designing solutions balancing value, performance, cost, and risk...
Assessment experience
Know the format before you commit.
A 90-minute assessment with 250 questions, a 70% passing threshold, delivered through the GIofAI Exam Portal.
Exam at a glance
Duration90 min
Questions250
FormatMultiple Choice
Pass70%
Negative markingNone
LanguagesEnglish
Your certification journey
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Prepare against the published blueprint
Use official study materials and the practice assessment to identify weaker domains.
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Complete identity verification
Government ID and candidate verification are required for the professional assessment.
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Sit the proctored examination
Complete the assessment through the GIofAI Exam Portal under monitored conditions.
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Receive your provisional result
See the provisional outcome immediately after submission.
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Access your verified credential
Your certificate and detailed transcript are available in the learner dashboard after verification.
Credential value
A designation you can verify, share and carry into professional conversations.
The value of the certification is the combination of controlled assessment, identity verification, domain-level performance evidence and a verifiable professional credential.
CGAIS
Certified Generative AI Specialist
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.
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Verified professional designation
Identity-verified assessment under controlled examination conditions.
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Detailed performance transcript
Section-wise performance information for a clearer view of your assessed capability.
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Shareable digital certificate
A professional credential designed to be verifiable and shareable with employers and professional networks.
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Clear next-step pathway
Use CGAIS as a core credential before moving into deeper specialisations.
CGAIS Exam Guide
Review the blueprint before you register.
Get the certification overview, domain weightings, exam format and preparation guidance in one concise guide.
Frequently Asked Questions
Practical answers, in plain language.
Is CGAIS a hands-on exam or multiple choice?
CGAIS is a multiple-choice assessment with both single-correct and scenario-based MCQs. The intent is to validate practical judgment across real deployment situations.
Do I need prior experience with specific vendors or model APIs?
No. The curriculum emphasizes vendor-neutral understanding: capabilities, limitations, and trade-offs across model families and deployment approaches.
How should I prepare for the production and security domains?
 Focus on patterns like RAG, evaluation methods, monitoring, safety layers, prompt injection mitigations, least-privilege architecture, and privacy-minded logging and retention.
What does “remotely proctored” mean in practice?
 It typically includes identity verification and session monitoring to uphold integrity. Ensure you have a stable internet connection and a quiet environment consistent with proctored testing.
What happens if I don’t pass on my first attempt?
You can retake after a cooldown period. Retakes may use refreshed question sampling and always align to the current blueprint, so review your domain breakdown and target weaker areas.
Register for CGAIS — validate production-ready GenAI capability.
Join a certification path that prioritizes real-world judgment: interaction design, deployment trade-offs, evaluation, governance, and secure delivery.