Introduction
The Generative AI Engineering Professional (GAIEP) is a professional-level certification awarded by the Global Institute of Professional Management Certification (GIPMC) for people who design, build, deploy and run generative AI systems. Beyond prompting, it covers model selection, retrieval, integration, deployment, evaluation, security, cost and lifecycle management, with a focus on reliable, scalable and responsible systems.
GIPMC aims GAIEP at AI, machine learning, platform and MLOps engineers, software engineers adding generative AI to applications, data scientists moving into production work, solution architects, and technical consultants and developers.
BlueMorpho Learning Solutions helps you understand the GAIEP requirements, plan your preparation and enroll for the exam. GIPMC conducts the exam and awards the certification.
Key Highlights
- Engineering focus: Thirteen modules cover the design, build, deployment and optimization of generative AI systems.
- From prototype to production: The outline stresses reliability, scalability, cost control and governance.
- Online proctored exam: 120 objective multiple-choice questions, including scenario-based questions, in 150 minutes, with a 70% pass mark.
- 3-year credential: GIPMC's page states that GAIEP is valid for 3 years from the date of award, with renewal before expiry.
Curriculum
GIPMC's GAIEP outline has 13 modules:
- Foundations of Generative AI Engineering: moving from experiments to production, and design trade-offs.
- Generative Model Architectures: models for language, images and mixed media, and choosing one for the use case.
- Prompt Engineering & Optimization: robust prompts, chaining, and managing context and memory.
- Data Pipelines & Knowledge Integration: data preparation and retrieval-augmented generation (RAG).
- Application & API Integration: embedding AI in applications, API design, latency and throughput.
- Model Deployment & Serving: deployment environments, scaling, and tracking usage and cost.
- Evaluation & Quality Assurance: automated and human evaluation of output quality.
- Security, Privacy & Risk Management: securing systems and APIs and preventing misuse such as prompt injection.
- Responsible AI & Governance: bias mitigation, transparency, accountability and compliance.
- Performance Optimization & Cost Control: faster inference and cost-aware use of compute.
- MLOps & Lifecycle Management: versioning, drift monitoring and CI/CD for AI systems.
- Enterprise Integration & Scaling: connecting to enterprise systems and scaling across teams.
- Operationalization & Continuous Improvement: incident handling and learning from production feedback.
We help you map each module to the systems you build or support.
Course Benefits
- Production-ready engineering skills: Learn to take generative AI from a prototype to a dependable system, with retrieval, evaluation and monitoring.
- Exam readiness: Understand the exam format (120 questions in 150 minutes, 70% to pass) and practise managing your time.
- A credential you can show: On passing, GIPMC awards the GAIEP certificate, which you can add to your CV and professional profiles.
Post-Course Accomplishments
After completing your GAIEP preparation and passing the exam, you will be able to:
- Design generative AI systems: Choose models and architectures and weigh trade-offs in cost, speed and quality.
- Build grounded applications: Set up data pipelines and retrieval so answers draw on your organization's own knowledge.
- Deploy and operate: Serve models through APIs and monitor quality, drift and cost in production.
- Evaluate output systematically: Combine automated checks and human review to catch regressions.
- Build safely: Apply security, privacy, bias controls and governance across the lifecycle.
Exam at a glance
| Item | Details |
|---|---|
| Awarding body | Global Institute of Professional Management Certification (GIPMC) |
| Credential | Generative AI Engineering Professional (GAIEP) |
| Format | Objective multiple-choice questions (MCQs), including scenario-based questions |
| Number of questions | 120 |
| Duration | 150 minutes |
| Passing score | 70% |
| Delivery | Online proctored |
| Fee (USD) | Certificate: 399 USD (listed price; regular 499 USD). Optional study material: 129 USD (listed price; regular 199 USD). |
| Prerequisites | Not listed on GIPMC's credential page. Ask our team before you enroll. |
| Validity and renewal | 3 years from the date of award. Renewal involves refresh or professional development activities, an assessment or verification where applicable, and an application before expiry. |
| Retakes | Not stated on GIPMC's credential page. |
Fees are in USD, were checked in October 2026 and can change.
Exam details checked in October 2026. Always confirm on GIPMC's official credential page before booking.
Why Choose BlueMorpho for GAIEP Certification
- Clear guidance: We explain the GAIEP exam format, how online proctoring works and the difference between the certificate and the optional study material, so you know what to buy and what to expect.
- Preparation linked to the official outline: We help you plan your study around GIPMC's 13 GAIEP modules and the published exam format.
- Enrollment support: We guide you through enrollment and answer your questions along the way.
Conclusion
GAIEP suits engineers and architects responsible for generative AI systems that must run reliably, securely and at a sensible cost. If you want a structured way to build and demonstrate those skills, send us an enquiry to get started.
