Module 1: Foundations of Generative AI and Foundation Models
Understand Generative AI, foundation models, transformers, LLMs, tokens, embeddings, context windows, and model capabilities.
CGAIP®
Certified Generative AI Professional
Master Generative AI. Build Practical Skills. Advance Your Technology Career.
Generative Artificial Intelligence is changing how organizations create content, develop software, analyze information, automate work, manage knowledge, interact with customers, and make decisions.
Prompt. Build. Integrate. Govern. Scale.
Professional Level
For practitioners, specialists, analysts and engineers
Vendor-Neutral
Skills and knowledge that apply across platforms and tools
Global Recognition
Recognized internationally across industries and regions
Digital Credential
Shareable, verifiable credential and certificate
What You Will Learn
Master the core areas of generative ai.
- 8 Comprehensive Generative AI Modules
Module 2: Prompt Engineering and AI Interaction Design
Apply zero-shot, one-shot, few-shot, contextual, structured, role-based, and advanced prompting strategies.
Module 3: Retrieval-Augmented Generation and Enterprise Knowledge Systems
Understand document ingestion, chunking, embeddings, vector databases, semantic retrieval, grounding, and RAG evaluation.
Module 4: Multimodal Generative AI and Content Applications
Explore text, image, audio, video, document, code-generation, and multimodal AI applications.
Module 5: AI Agents, Automation, and Enterprise Integration
Understand AI agents, tools, memory, orchestration, workflows, APIs, human oversight, and enterprise automation.
Module 6: Generative AI Development, Deployment, Evaluation, and LLMOps
Learn model selection, deployment, evaluation, prompt versioning, monitoring, cost management, and operational practices.
Module 7: Generative AI Security, Responsible AI, and Governance
Identify prompt injection, jailbreaks, data leakage, privacy, agentic risk, bias, intellectual-property, and governance concerns.
Module 8: Enterprise Generative AI Strategy, Applications, and Professional Practice
Evaluate use cases, business value, implementation feasibility, adoption, professional responsibilities, and organizational impact.
Career Opportunities
CGAIP® can support development toward roles such as:
- Generative AI Professional
- Generative AI Specialist
- Prompt Engineer
- AI Solutions Specialist
- RAG Specialist
- AI Automation Specialist
- AI Agent Specialist
- AI Business Analyst
- AI Implementation Specialist
- AI Consultant
- Responsible AI Analyst
- AI Governance Analyst
- AI Security Analyst
- Digital Transformation Specialist
About the credential
Become a Generative AI professional the market trusts.
The Certified Generative AI Professional (CGAIP®) is a professional certification designed to validate practical, vendor-neutral competency across the modern Generative AI ecosystem. Offered by the International Board of AI, Cybersecurity & Technology Professionals (IBACTP®), CGAIP® prepares professionals to understand, apply, evaluate, secure, and responsibly implement technologies such as Large Language Models, foundation models, prompt engineering, Retrieval-Augmented Generation, multimodal AI, vector databases, AI agents, LLMOps, and enterprise Generative AI applications.
Build the Skills Behind the Generative AI Revolution
- LLMs
- Prompt Engineering
- RAG
- Multimodal AI
- AI Agents
- LLMOps
- AI Security
- Responsible AI
Professional level — Three-year certification cycle with continuing professional education
Start Your CGAIP® Journey
- APPLY FOR CERTIFICATION
- REGISTER FOR THE CGAIP® EXAM
- ENROLL IN TRAINING
- CHOOSE THE CAPSTONE PATHWAY
- DOWNLOAD THE CERTIFICATION GUIDE
CGAIP®
Why Earn the CGAIP® Certification?
Using an AI chatbot is not the same as understanding Generative AI.
Modern organizations increasingly need professionals who understand how Generative AI systems work, how they connect with enterprise knowledge, how outputs should be evaluated, how AI agents interact with tools, and how security, privacy, governance, and responsible AI requirements should be addressed.
CGAIP® validates professional competency in:
- Generative AI fundamentals
- Foundation models
- Large Language Models
- Transformer architectures
- Prompt engineering
- Embeddings
- Vector databases
- Retrieval-Augmented Generation
- Multimodal AI
- AI agents
- Intelligent automation
- Enterprise integration
- Model evaluation
- LLMOps
- Generative AI security
- Responsible AI
- Privacy and governance
- Enterprise implementation
CGAIP®
Who Should Earn CGAIP®?
CGAIP® is designed for professionals working with or transitioning into Generative AI.
Ideal candidates include:
- Generative AI Professionals
- Artificial Intelligence Professionals
- IT Professionals
- Information Systems Professionals
- Software Developers
- Data Analysts
- Data Scientists
- Business Analysts
- Systems Analysts
- Cybersecurity Professionals
- Cloud Professionals
- AI Consultants
- Automation Specialists
- Product Professionals
- Project Managers
- Digital Transformation Professionals
- AI Governance Professionals
- Responsible AI Professionals
- Educators and Researchers
- Knowledge Management Professionals
CGAIP®
The CGAIP®–IBACTP® Professional Competency Model
The CGAIP® competency framework is organized around eight integrated professional capabilities.
1. Generative AI Knowledge
Understand foundation models, LLMs, transformers, tokenization, embeddings, context windows, capabilities, and limitations.
2. Prompt Engineering Competency
Design, evaluate, and optimize prompts for professional and enterprise applications.
3. Knowledge Grounding Competency
Apply RAG, embeddings, semantic search, vector databases, document retrieval, and enterprise knowledge grounding.
4. Multimodal AI Competency
Understand Generative AI systems involving text, images, audio, video, documents, and code.
5. AI Agent and Automation Competency
Understand AI agents, tool use, memory, workflows, orchestration, human approval, and controlled automation.
6. Generative AI Operational Competency
Understand model selection, deployment, evaluation, monitoring, cost, latency, versioning, and LLMOps.
7. Security and Responsible AI Competency
Identify prompt injection, data leakage, model misuse, privacy, bias, excessive agency, governance, and intellectual-property risks.
8. Enterprise Generative AI Competency
Connect Generative AI technologies to business use cases, organizational requirements, implementation needs, and measurable value.
CGAIP® Competency Progression
Understand → Prompt → Ground → Generate → Integrate → Evaluate → Secure → Apply
CGAIP®
Tools and Technologies Covered
CGAIP® is vendor-neutral but provides candidates with exposure to contemporary Generative AI technologies and workflows.
Depending on the approved training environment, candidates may encounter:
Applied practice
Practical Hands-On Labs
Lab 1: Prompt Engineering and Output Optimization
Design, compare, and improve multiple prompting approaches.
Lab 2: RAG Prototype
Configure a document-grounded Generative AI workflow using embeddings and retrieval.
Lab 3: Multimodal Generative AI Application
Complete a professional task involving multiple content types.
Lab 4: AI Agent and Workflow Automation
Design or evaluate an AI agent using controlled tool access and workflow steps.
Lab 5: Generative AI Security and Governance Assessment
Assess a GenAI solution for prompt injection, privacy, security, bias, excessive agency, and governance risks.
Assessment
Flexible Certification Assessment Options
CGAIP®
Certification Validity · Professional Designation
Certification Validity
3 Years
Recommended renewal requirement:
30 CPE Credits Every Three Years
Professional Designation
Successful candidates earn:
CGAIP®
ISO and International Framework Alignment
CGAIP® is designed with consideration of internationally recognized standards and frameworks relevant to Artificial Intelligence, cybersecurity, privacy, risk, and personnel certification.
Relevant frameworks include:
These frameworks help reinforce responsible AI, risk management, governance, information security, privacy, and professional credentialing principles.
- ISO/IEC 42001 — Artificial Intelligence Management Systems
- ISO/IEC 23894 — Artificial Intelligence Risk Management
- ISO/IEC 22989 — AI Concepts and Terminology
- ISO/IEC 27001 — Information Security Management Systems
- ISO/IEC 27701 — Privacy Information Management
- ISO 31000 — Risk Management
- ISO/IEC 17024 — Certification of Persons
- NIST AI Risk Management Framework
CGAIP®
Credentialing and Accreditation Alignment
CGAIP® is designed with consideration of recognized certification and credentialing practices associated with:
The certification framework should incorporate:
Formal accreditation should only be stated after officially awarded.
- ISO/IEC 17024
- ANSI National Accreditation Board (ANAB)
- National Commission for Certifying Agencies (NCCA)
- Institute for Credentialing Excellence (I.C.E.)
- International personnel-certification practices
- Job Task Analysis
- Defined competency requirements
- Validated Body of Knowledge
- Examination blueprints
- Subject Matter Expert participation
- Psychometric review
- Assessment security
- Candidate identity verification
- Impartial certification decisions
- Appeals and complaints
- Continuing Professional Education
- Recertification
- Credential verification
CGAIP®
Global Recognition and Professional Portability
CGAIP® is designed as a vendor-neutral and internationally relevant professional credential.
Its competencies are transferable across industries, AI providers, cloud platforms, models, and organizational environments.
The certification is relevant across sectors such as:
Recognition remains subject to individual employer, institutional, regulatory, and governmental requirements.
- Technology
- Cybersecurity
- Banking and Finance
- Healthcare
- Government
- Education
- Telecommunications
- Manufacturing
- Energy
- Retail
- Supply Chain
- Consulting
- Data and Analytics
- Information Technology
- Professional Services
CGAIP®
Certification Pathway
CGAIP®
Certified Generative AI Professional
↓
CGAIM®
Certified Generative AI Manager
Move from professional application to enterprise strategy, governance, security, investment, operations, and leadership.
CGAIP®
Real-World Generative AI Applications
CGAIP® prepares candidates to understand and apply GenAI across use cases such as:
- Enterprise knowledge assistants
- Customer-service assistants
- AI copilots
- Document intelligence
- Content generation
- Code generation
- Research support
- Knowledge retrieval
- Summarization
- Translation
- Intelligent search
- Report generation
- Security analysis
- Workflow automation
- Intelligent agents
- Decision support
- Education and training
- Marketing content
- Business analysis
- Software-development assistance
CGAIP®
Certified Generative AI Professional (CGAIP®) · Certified Generative AI Professional (CGAIP®)
Certified Generative AI Professional (CGAIP®)
Example:
Jane Smith, CGAIP®
The designation signifies demonstrated professional competency in Generative AI technologies, applications, security, governance, and enterprise implementation.
Certified Generative AI Professional (CGAIP®)
Offered by the International Board of AI, Cybersecurity & Technology Professionals (IBACTP®)
Build Generative AI Skills. Demonstrate Competency. Advance with Confidence.
CGAIP®
Become CGAIP® Certified
APPLY NOW
Begin your certification journey.
APPLY FOR CGAIP® →
REGISTER FOR THE EXAM
Already prepared?
REGISTER NOW →
ENROLL IN TRAINING
Build competency across all eight domains.
ENROLL NOW →
CHOOSE THE CAPSTONE
Demonstrate your skills through applied project assessment.
START THE CAPSTONE →
DOWNLOAD THE GUIDE
Review the complete program, exam, eligibility, and certification requirements.
DOWNLOAD PROGRAM GUIDE →
The examination
Exam & Certification Details
Everything you need to plan your sitting.
CGAIP-100
Exam code for the Professional-level Generative AI credential.
100 questions (maximum)
Multiple choice, completed in 120 minutes.
700 out of 1000
Passing score. Delivered in English.
Recommended experience
A minimum of two years of experience in generative ai or a closely related technology discipline.
Where you sit it
IBACTP® approved testing centers and online proctored delivery
Staying certified
Three-year certification cycle with continuing professional education
Choose your route
Four ways to enroll. One credential.
Every route leads to the same CGAIP® examination and the same designation.
Progression
Your Certification Pathway
Start as a Professional. Advance as a Leader.
Get started
Ready to certify as a CGAIP®?
Self-Paced Learning
Exam fee only, with complimentary course materials provided — $400 USD.
Virtual Instructor-Led Training
4 days, 2 hours daily online. All course materials + Exam — $1,200 USD.
Bootcamps & Intensives
10 days, 2 hours daily. All course materials + Exam — $1,800 USD.
Corporate Training
Certify a whole team on a schedule that suits your organization. Fees negotiable.
Questions
Frequently Asked Questions
What is CGAIP®?
CGAIP® is a professional Generative AI certification designed to validate knowledge and applied competency in LLMs, prompting, RAG, multimodal AI, agents, LLMOps, security, governance, and enterprise GenAI.
Is CGAIP® vendor-neutral?
Yes. It is designed around transferable concepts and competencies rather than one specific AI provider.
Do I need programming experience?
Advanced programming is not required, although basic technical familiarity can support practical activities.
Does CGAIP® cover prompt engineering?
Yes. Prompt engineering is a major competency domain.
Does it cover RAG?
Yes. RAG, embeddings, vector databases, semantic search, and enterprise knowledge grounding are core components.
Does it include AI agents?
Yes. Candidates learn agent concepts, tool use, workflows, human oversight, automation, and security.
Does CGAIP® cover AI security?
Yes. Security topics include prompt injection, jailbreaking, data leakage, insecure outputs, agentic risks, and governance controls.
How is CGAIP® assessed?
Candidates may complete either the Certification Examination or Applied Capstone Project.
How long is training?
The recommended program is approximately 60 hours.
How long is certification valid?
The recommended certification cycle is three years.
CGAIP®
Ready to Build Your Generative AI Career?
Don't just use Generative AI.
Understand It. Prompt It. Ground It. Integrate It. Secure It. Apply It.
Certified Generative AI Professional (CGAIP®) · International Board of AI, Cybersecurity & Technology Professionals (IBACTP®)
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