Module 1: Enterprise Generative AI Strategy and Organizational Readiness
Assess maturity, establish strategic priorities, identify use cases, create roadmaps, and define enterprise operating models.
CGAIM®
Certified Generative AI Manager
Lead Generative AI Strategy. Govern Enterprise AI. Deliver Measurable Value.
Generative AI is moving from experimentation into enterprise operations, customer experiences, knowledge systems, software development, automation, decision support, and workforce transformation.
Direct Generative AI Adoption Across the Enterprise.
Advanced Manager Level
For genai leaders, managers and decision-makers
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 Advanced Enterprise GenAI Modules
Module 2: GenAI Investment, Portfolio, and Business Value Management
Develop business cases, assess ROI, manage portfolios, evaluate costs, prioritize investments, and measure value.
Module 3: Enterprise GenAI Architecture, Foundation Models, RAG, and Agents
Evaluate foundation models, RAG architectures, vector technologies, AI agents, integration approaches, and sourcing strategies.
Module 4: GenAI Program, Vendor, and Implementation Management
Lead programs, projects, vendors, stakeholders, cross-functional teams, adoption, and implementation.
Module 5: Responsible Generative AI, Governance, Privacy, and Compliance
Establish policies, accountability, human oversight, privacy controls, IP governance, ethical principles, and audit readiness.
Module 6: Generative AI Security, Cybersecurity, and Enterprise Risk
Manage prompt injection, jailbreaks, data exposure, model risks, excessive agency, third-party risks, and resilience.
Module 7: LLMOps, Monitoring, Cost, and Lifecycle Governance
Govern production systems, prompt and model changes, RAG performance, cost, latency, monitoring, incidents, and retirement.
Module 8: Generative AI Transformation, Workforce, and Executive Leadership
Lead workforce redesign, AI literacy, human-AI collaboration, adoption, organizational change, and executive communication.
Career Opportunities
CGAIM® can support advancement toward roles such as:
- Generative AI Manager
- Enterprise GenAI Manager
- GenAI Program Manager
- AI Governance Manager
- Responsible AI Manager
- AI Risk Manager
- AI Transformation Manager
- GenAI Product Manager
- AI Operations Manager
- Technology Manager
- Digital Transformation Manager
- GenAI Strategy Consultant
- AI Governance Consultant
- Director of Generative AI
- Director of AI Governance
- Director of Data and AI
- Head of Generative AI
- Head of AI Programs
- Enterprise AI Leader
About the credential
Become a Generative AI professional the market trusts.
This shift creates a new leadership challenge.
Organizations need professionals who can determine where Generative AI creates value, which models and platforms should be selected, how AI agents should be governed, how risks should be controlled, how costs should be managed, and how enterprise adoption should be scaled responsibly.
Advanced Manager level — Three-year certification cycle with continuing professional education
The Certified Generative AI Manager (CGAIM®) is an advanced professional certification designed for leaders responsible for managing the strategic, technological, financial, governance, cybersecurity, operational, and workforce dimensions of enterprise Generative AI.
Offered by the:
CGAIM®
Why Earn the CGAIM® Certification?
Organizations do not only need more AI users.
They need professionals who can lead enterprise adoption responsibly.
CGAIM® prepares and assesses managers who must answer questions such as:
CGAIM® is designed around these management decisions.
- Which GenAI opportunities should receive investment?
- Which foundation models should we use?
- Should we build, buy, or partner?
- How should enterprise RAG systems be designed and governed?
- How much autonomy should AI agents receive?
- How do we protect sensitive organizational data?
- How do we manage prompt injection and AI cybersecurity risks?
- How should GenAI vendors be evaluated?
- How should LLM performance and costs be monitored?
- How do we establish responsible AI governance?
- How do we redesign work around human-AI collaboration?
- How do we demonstrate measurable enterprise value?
CGAIM®
Who Should Earn CGAIM®?
CGAIM® is designed for:
- Generative AI Managers
- AI Managers
- AI Program Managers
- AI Governance Managers
- Responsible AI Managers
- AI Risk Managers
- Technology Managers
- IT Managers
- Information Systems Managers
- Cybersecurity Managers
- Data and Analytics Managers
- Digital Transformation Leaders
- AI Product Managers
- Generative AI Product Managers
- Enterprise Architects
- Program Managers
- Project Managers
- Technology Consultants
- AI Strategy Consultants
- Innovation Managers
- Technology Directors
- Heads of AI
- Heads of Generative AI
- Directors of Data and AI
- Chief AI Office professionals
- Chief Information Office professionals
- Chief Technology Office professionals
- Senior professionals transitioning into AI leadership
CGAIM®
The CGAIM®–IBACTP® Advanced Management Competency Model
1. Generative AI Strategic Leadership
Develop enterprise GenAI strategies aligned with organizational priorities and transformation goals.
2. Investment and Value Management
Evaluate business cases, costs, ROI, portfolios, resource allocation, and measurable value.
3. Technology and Architecture Management
Evaluate foundation models, LLMs, RAG, vector systems, agents, multimodal technologies, and integration options.
4. Program and Vendor Management
Lead enterprise programs, vendors, implementation, stakeholders, resources, and adoption.
5. Responsible GenAI Governance
Establish policies, accountability, privacy, ethical controls, human oversight, and compliance.
6. GenAI Security and Enterprise Risk
Manage prompt injection, model risk, data exposure, excessive agency, third-party risk, and organizational resilience.
7. GenAI Operational Governance
Oversee LLMOps, monitoring, performance, cost, model changes, RAG operations, incidents, and lifecycle management.
8. Transformation and Executive Leadership
Lead workforce redesign, organizational adoption, AI literacy, change management, and executive communication.
CGAIM® Leadership Progression
Strategize → Evaluate → Govern → Secure → Implement → Operate → Transform → Lead
CGAIM®
CGAIM® Enterprise Management Capstone
Part 1: Strategy, Investment, and Architecture
Candidates assess organizational readiness, identify GenAI opportunities, develop a business case, evaluate technologies, and create an enterprise roadmap.
Part 2: Governance, Security, Risk, and Responsible AI
Candidates establish governance, identify security and privacy risks, address intellectual property and human oversight, and recommend enterprise controls.
Part 3: Implementation, Operations, Transformation, and Value
Candidates develop an implementation plan, define LLMOps oversight, establish performance and cost metrics, address workforce change, and present executive recommendations.
Applied practice
Applied Management Labs
Lab 1: Enterprise GenAI Maturity Assessment
Assess readiness and develop a strategic roadmap.
Lab 2: GenAI Business Case and Portfolio Prioritization
Compare multiple proposed initiatives and recommend investments.
Lab 3: LLM, RAG, and Vendor Evaluation
Evaluate models, architecture, vendor capability, security, privacy, and lock-in.
Lab 4: GenAI Security, Risk, and Governance Assessment
Evaluate prompt injection, data exposure, agent permissions, governance, and risk controls.
Lab 5: Executive GenAI Performance and Transformation Review
Analyze KPIs, ROI, adoption, workforce impacts, operational performance, and executive recommendations.
Assessment
Flexible Certification Assessment Options
CGAIM®
Recommended Prerequisites
CGAIM® is an advanced management-level certification.
Candidates should preferably possess professional experience involving:
The CGAIP® credential is a recommended pathway into CGAIM®, although candidates with equivalent professional knowledge and experience may qualify under applicable certification policies.
- Generative AI
- Artificial Intelligence
- IT or Information Systems
- Data and Analytics
- Cybersecurity
- Digital Transformation
- Enterprise Architecture
- Governance
- Risk
- Project or Program Management
- Technology Leadership
CGAIM®
Certification Validity · Professional Designation
Certification Validity
3 Years
Recommended renewal requirement:
40 CPE Credits Every Three Years
Professional Designation
Successful candidates earn:
CGAIM®
ISO and International Framework Alignment
The CGAIM® Body of Knowledge is designed with consideration of recognized international standards and frameworks, including:
CGAIM® focuses particularly on how managers apply these principles to governance, risk, security, oversight, and enterprise GenAI decision-making.
- ISO/IEC 42001 — Artificial Intelligence Management Systems
- ISO/IEC 23894 — Artificial Intelligence Risk Management
- ISO/IEC 22989 — Artificial Intelligence 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
CGAIM®
Global Recognition and Professional Portability
CGAIM® is designed as an internationally relevant and vendor-neutral advanced professional credential.
Its management competencies are intended to be applicable across:
The credential is relevant across sectors such as:
Recognition remains subject to individual employer, government, institutional, and regulatory requirements.
- Countries
- Industries
- AI providers
- Cloud environments
- Foundation models
- Technology architectures
- Organizational structures
- Technology
- Financial Services
- Cybersecurity
- Healthcare
- Government
- Telecommunications
- Manufacturing
- Energy
- Education
- Retail
- Supply Chain
- Consulting
- Information Technology
- Information Systems
- Data and Analytics
- Professional Services
CGAIM®
Accreditation and Credentialing Alignment
CGAIM® is designed with consideration of professional certification and credentialing principles associated with:
The certification framework should incorporate:
Formal accreditation should only be claimed once officially granted.
- 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
- Competency validation
- Examination blueprinting
- Subject Matter Expert review
- Psychometric practices
- Examination security
- Impartial certification decisions
- Appeals and complaints processes
- Candidate identity controls
- Continuing Professional Education
- Recertification
- Credential verification
- Continuous improvement
CGAIM®
Certification Pathway
CGAIP®
Certified Generative AI Professional
Professional-level GenAI competency.
↓
CGAIM®
Certified Generative AI Manager
Advanced enterprise leadership in GenAI strategy, governance, risk, investment, operations, and transformation.
CGAIM®
Tools, Technologies, and Enterprise Platforms
CGAIM® is vendor-neutral. Managers are expected to understand how to evaluate and govern technology choices rather than become specialists in one specific product.
Areas covered include:
CGAIM®
Enterprise Generative AI Applications
CGAIM® prepares managers to govern GenAI across use cases such as:
- Enterprise AI assistants
- Customer-service AI
- Intelligent search
- RAG knowledge systems
- AI copilots
- Software-development assistants
- Intelligent document processing
- Financial analysis
- Cybersecurity analysis
- Knowledge management
- Sales enablement
- Human resources support
- Research automation
- Legal-document support
- Workflow automation
- Agentic processes
- Digital transformation
- Executive decision support
CGAIM®
Responsible Generative AI Governance
CGAIM® places strong emphasis on responsible enterprise adoption.
Managers learn to establish controls related to:
- Accountability
- Bias
- Fairness
- Transparency
- Explainability
- Safety
- Reliability
- Human oversight
- Privacy
- Intellectual property
- Content provenance
- Data governance
- Use-case approval
- Model inventories
- Regulatory compliance
- Audit readiness
CGAIM®
Generative AI Security and Risk
CGAIM® prepares managers to oversee risks such as:
- Prompt injection
- Indirect prompt injection
- Jailbreaking
- Data leakage
- Sensitive-information disclosure
- Insecure outputs
- Model misuse
- Model extraction
- Excessive agency
- Unauthorized tool use
- Vendor dependence
- AI supply-chain risk
- Cloud concentration risk
- Service outages
- Intellectual-property exposure
- Operational disruption
CGAIM®
AI Agent Governance
CGAIM® includes dedicated management coverage of agentic AI.
Managers learn to evaluate:
- Agent permissions
- Tool access
- Identity
- Authentication
- Authorization
- Human approval
- Workflow boundaries
- Escalation
- Monitoring
- Accountability
- Multi-agent interactions
- Excessive agency
- Operational safeguards
CGAIM®
Enterprise Vendor Management
Managers learn to evaluate GenAI providers based on:
- Security
- Data handling
- Model transparency
- Privacy
- Service availability
- Licensing
- Intellectual-property terms
- Subprocessors
- Data residency
- Exit strategies
- Interoperability
- Concentration risk
- Cost
- Ongoing performance
CGAIM®
Certified Generative AI Manager (CGAIM®) · Certified Generative AI Manager (CGAIM®)
Certified Generative AI Manager (CGAIM®)
Example:
Jane Smith, CGAIM®
The designation demonstrates advanced competency in enterprise Generative AI strategy, governance, investment, cybersecurity, risk, operations, and transformation.
Certified Generative AI Manager (CGAIM®)
Offered by the International Board of AI, Cybersecurity & Technology Professionals (IBACTP®)
Lead Generative AI Strategy. Govern Responsibly. Secure Enterprise AI. Deliver Measurable Value.
CGAIM®
Become CGAIM® Certified
APPLY FOR CERTIFICATION
Ready to demonstrate advanced GenAI leadership?
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REGISTER FOR THE CGAIM® EXAM
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ENROLL IN ADVANCED TRAINING
Build competency across all eight enterprise management domains.
ENROLL NOW →
CHOOSE THE CAPSTONE PATHWAY
Demonstrate advanced competency through applied enterprise assessment.
START YOUR CAPSTONE →
DOWNLOAD THE CERTIFICATION GUIDE
Review eligibility, modules, assessments, standards alignment, and renewal requirements.
DOWNLOAD PROGRAM GUIDE →
The examination
Exam & Certification Details
Everything you need to plan your sitting.
CGAIM-200
Exam code for the Advanced Manager-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 five years of experience, including two years in a supervisory, lead or management role.
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 CGAIM® examination and the same designation.
Progression
Your Certification Pathway
Start as a Professional. Advance as a Leader.
Get started
Ready to certify as a CGAIM®?
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 CGAIM®?
CGAIM® is an advanced professional certification focused on enterprise Generative AI management, strategy, governance, risk, implementation, operations, and leadership.
Is CGAIM® technical?
It includes technical concepts, but its primary focus is management and enterprise decision-making.
Do I need CGAIP® first?
CGAIP® is a recommended pathway. Equivalent professional experience may also satisfy applicable prerequisites.
Does CGAIM® cover LLMs and foundation models?
Yes. Managers learn how to evaluate model capabilities, risks, costs, sourcing strategies, and enterprise suitability.
Does it cover RAG?
Yes. Enterprise RAG strategy, architecture, governance, risk, performance, and vendor considerations are included.
Does it cover AI agents?
Yes. Agent governance, tool access, autonomy, security, approval, accountability, and monitoring are major topics.
Does CGAIM® cover cybersecurity?
Yes. Prompt injection, data leakage, agent misuse, model risk, third-party risk, and operational resilience are included.
How is CGAIM® assessed?
Candidates may select either the Certification Examination or the Enterprise GenAI Management Capstone.
How long is training?
The recommended program is approximately 60 hours.
Is CGAIM® vendor-neutral?
Yes.
How long is certification valid?
The recommended cycle is three years.
CGAIM®
Ready to Lead Generative AI at Enterprise Scale?
GenAI Strategy • LLM Governance • RAG • AI Agents • Investment • Security • Risk • LLMOps • Transformation • Leadership
Organizations need leaders who can do more than introduce AI tools.
- Set Strategy
- Evaluate Investment
- Select Technology
- Govern Models
- Control Security and Risk
- Manage AI Agents
- Oversee LLMOps
- Transform the Workforce
- Measure Enterprise Value
Certified Generative AI Manager (CGAIM®) · International Board of AI, Cybersecurity & Technology Professionals (IBACTP®)
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