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Certified Text Generative AI Ambassador


About the best practice

IP owner:Effective Data Foundation®
Accreditation institute:Van Haren Certify
Examination institute:certN

Text generative AI involves the use of machine learning algorithms to produce human-like text based on a given set of input data. These algorithms, such as GPT-4 and its predecessors, have shown unparalleled capabilities in understanding context, predicting subsequent words or sentences, and even generating entire articles, poems, or code snippets. The applications are virtually limitless—ranging from chatbots and customer service automation to content creation, data analysis, and beyond. Mastering the fundamentals of text generative AI provides an essential toolkit for navigating the increasingly data-driven landscape across multiple sectors.

The importance of understanding text generative AI extends beyond its immediate applications. As data becomes the new oil, the ability to interpret, manipulate, and generate text-based information has become a critical skill. It’s not just about automating tasks; it’s about enhancing human capabilities to make more informed decisions, unlock new avenues for creativity, and tackle complex problems that were previously insurmountable. Whether you’re in healthcare, finance, marketing, or any other industry, mastering text generative AI equips you with the expertise to lead in the era of digital transformation.

Certification definition

The EDF Certified (Text) Generative AI Ambassador certification, part of the Effective Data Foundation portfolio, serves as an objective indicator of certified individuals’ competency in both the theoretical and applied dimensions of text-based artificial intelligence.

Certified individuals not only have a firm grasp of foundational concepts but also possess the skills to implement and manage text generative AI systems across various applications. Their training encompasses critical areas such as data ethics and model optimization, enabling them to contribute effectively to projects in this rapidly evolving field. As data becomes increasingly central to decision-making across diverse industries, this certification ensures that certified individuals are well-equipped to be at the forefront of digital transformation.

Certification requirements

Candidates can become certified by passing the EDF Certified (Text) Generative AI Ambassador certification exam.

Vouchers for the certification exam are available through accredited trainers and Van Haren Group.

Certificate renewal

The EDF Certified (Text) Generative AI Ambassador is valid for two years.

Exam format

The general exam regulations apply to this exam.
Attempts per voucher:1
Number of questions:40
Passing score:65%
Time:60 minutes




Question type:Multiple choice

Exam Syllabus

The following table is an overview of the topics examined in the certification exam.
#questions Level(s) of Cognition Category
1 2 3
4 Introduction to AI
  • Essentials of AI
  • AI in practice
4 Introduction to ChatGPT
  • Introduction to Text Generative
  • Application, limitations, risks,
  • Large language models
6 Basic prompts
  • Prompt Engineering Application
  • Strategies and Techniques
  • Expert role
  • Prompt design principles
6 Prompt engineering
  • Problem setting
  • Applying prompt design principles
6 Case study
  • Content generation
  • Idea validation
  • Researching complex topics
6 API and plugins
  • Premium versions
  • Showcase Plugins
  • Advanced Data Analysis
  • API for custom AI Chatbot
4 What comes next
  • NLP models
  • Text-to-image, music, Speech, video and 3D
4 Ethics
  • Biases in AI algorithms
  • Influance job market
  • Privacy and security
  • Misinformation
  • Copyright
More information about the levels of cognition
  • Level 1 - Knowledge: This level requires candidates to recall specific information or facts. They should demonstrate the ability to remember and recognize details, terms, or concepts from their learning materials.
  • Level 2 - Comprehension: At this level, candidates are expected to show their understanding of the acquired information. They should be able to interpret, explain, and summarize. Candidates must go beyond mere memorization and demonstrate that they can grasp the meaning and implications of the information they have learned.
  • Level 3 - Application: The focus at this level is on candidates’ ability to apply their acquired knowledge in practical situations. They should be able to use what they have learned to solve problems, apply principles, or implement strategies in real-world scenarios.
  • Level 4 - Analysis: Analysis involves candidates breaking down complex concepts into smaller parts and comprehending the relationships between them. Candidates must display the ability to analyze information, identify components, and understand the underlying connections between them.
  • Level 5 - Synthesis: At this level, candidates are expected to exhibit the ability to create something new by combining different ideas, concepts, or elements. Candidates must demonstrate their capacity to generate hypotheses, design experiments, or develop original solutions to problems. Synthesis involves creativity and the integration of different elements to form a novel whole.
  • Level 6 - Evaluation: This level requires candidates to use judgments or assessments based on criteria and evidence. Candidates must critically analyze information, compare and contrast different perspectives, and make informed decisions. They should demonstrate the ability to evaluate the quality, validity, and reliability of information, arguments, or solutions.

Reference Material

The reference material for the EDF Certified (Text) Generative AI Ambassador exam is as follows:

EDF Certified Generative AI Ambassador Courseware

Trainer accreditation

Van Haren Learning Solutions organizes the trainer accreditation for this certification program. More information on the accreditation process can be found on their website.