Engineer of Prompts Expert

$690.00

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This certification is designed to assess the technical and specialized skills necessary for prompts engineers, who are responsible for ensuring the accurate and effective operation of AI generation tools, especially in text-to-text and text-to-image contexts. Prompt engineers play a critical role in developing and maintaining AI systems that respond to user queries and generate unique and relevant content, such as chatbot responses and image generation. This certification ensures that prompts engineers are equipped with the knowledge and skills necessary to optimize the performance of these AI tools and ensure an exceptional user experience.

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WHY BECOME CERTIFIED?

Certified engineers are better positioned to innovate in the development of new functionalities for AI systems. The specialized training acquired through certification enables them to design solutions that can anticipate market needs and user expectations.

Certified Prompt Engineers are prepared not only to perform technical tasks but also to lead teams and projects, facilitating effective collaboration between diverse stakeholder groups, including developers, product designers and management.

This Prompt Engineering certification is recognized globally and provides employers with the assurance that certified candidates have the skills necessary to develop and maintain effective, high-quality AI generation tools in a variety of business applications.

WHO IS IT INTENDED FOR?

  • Systems engineers with AI experience
  • Developers of chatbots and interactive systems.
  • Professionals who analyze large volumes of data to train and improve AI models.
  • AI Systems Architects
  • AI Team Leaders and Project Managers
  • UX/UI professionals with an interest in AI

COMPETENCIES TO BE CERTIFIED

Techniques:

  • Natural Language Processing (NLP): Proficiency in NLP techniques and algorithms to effectively understand and generate text.
  • AI Coding and Model Development: Experience in coding and developing text-to-text and text-to-image AI models using libraries and frameworks such as TensorFlow, PyTorch, Hugging Face, among others.
  • Natural Language Queries: Ability to design and optimize AI systems that can interpret and respond to natural language queries accurately and efficiently.
  • Artificial Neural Networks: In-depth knowledge of the theory and application of artificial neural networks for the development of generative AI systems.

Soft skills

  • Problem Solving: Ability to identify and address technical challenges in the development and maintenance of generation AI tools.
  • Collaboration and Teamwork: Ability to collaborate with other engineers, data scientists and designers on interdisciplinary projects.
  • Adaptability: Ability to adapt quickly to new environments and technologies in a constantly evolving field such as AI.
  • Attention to Detail: Ability to pay attention to detail and ensure accuracy and quality in the implementation of generation AI systems.

ABOUT THE EXAM

Domains of Examination

  • Fundamentals of Natural Language Processing (NLP)
  • Development of Generation AI Models
  • Natural Language Queries
  • Artificial Neural Networks
  • Problem Solving in Engineering Prompt

Number of questions: 100
Examination format: combination of theoretical and practical questions that evaluate the mastery of technical concepts and the ability to solve problems in the field of engineering prompt.
Duration: 3 hours
Validity: three (3) years.
Passing score: 70%.

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