CertQA Certification
Engineer of Prompts Expert
Certification for professionals who design, test and optimize prompts for generative AI systems, improving productivity, automation, content generation and AI-assisted workflows.
Generative AI
Prompt Engineering
AI Productivity
Certification Overview
The Engineer of Prompts Expert certification assesses specialized skills required to design, test, optimize and govern prompts for generative AI systems in text-to-text and text-to-image contexts.
Certified candidates demonstrate understanding of NLP, generative AI model behavior, prompt design, evaluation, quality control, workflow optimization and collaboration with technical and business teams.
Credential purpose: validate practical and verifiable competencies through structured assessment, digital credentialing and CertQA verification.
What the candidate achieves
- Design prompts that improve clarity, relevance and consistency in AI-assisted workflows.
- Evaluate AI responses and refine prompts based on task, context, constraints and user goals.
- Understand NLP fundamentals, generative AI concepts and model interaction patterns.
- Support responsible use of AI tools in productivity, content generation and automation contexts.
- Collaborate with data, development, product and business teams to improve AI-enabled solutions.
Who is this certification for?
- Systems engineers and developers with AI experience.
- Developers of chatbots, interactive systems and AI-assisted workflows.
- Professionals who analyze data or content to improve AI model usage.
- AI systems architects, AI team leaders and project managers.
- UX/UI professionals and business teams using generative AI in structured workflows.
Competencies to be certified
- Natural Language Processing (NLP) fundamentals and prompt construction logic.
- Generative AI model interaction, testing and refinement.
- Prompt design for text generation, image generation and structured outputs.
- Artificial neural networks and conceptual understanding of AI model behavior.
- Problem solving, collaboration, adaptability and attention to detail in AI-enabled solutions.
Exam domains / assessment areas
1Fundamentals of Natural Language Processing (NLP).
2Development and use of generative AI models.
3Natural language queries and prompt construction.
4Artificial neural networks and AI model behavior.
5Problem solving in prompt engineering.
Exam and assessment conditions
| Number of questions | 100 |
| Duration | 3 hours |
| Passing score | 70% |
| Credential validity | Three (3) years |
| Format | Combination of theoretical and practical questions |
| Delivery | Online assessment through CertQA authorized channels |
Candidate conditions
- The candidate should understand the responsible use of generative AI tools and the limits of AI-generated outputs.
- The assessment evaluates practical reasoning, prompt design quality and problem-solving, not only tool familiarity.
- Credential verification is available through CertQA after successful completion.
- Use of unauthorized assistance or automated answer generation during the assessment may invalidate the result.
Ready to certify this credential?
Request information about assessment access, authorized training partners, credential verification and organizational certification options.