next prev
nl en

NLAIC AI for Business & Government


About the best practice

IP owner:NL AIC®
Accreditation institute:Van Haren Certify
Examination institute:certN

Self-driving vehicles, voice and image recognition, healthcare analysis, robots, and personalized information on social media – Artificial Intelligence (AI) has permeated our world, changing our society, economy, and lives. AI-based applications are central to the business model of some of today’s most potent and successful commercial businesses. AI itself is, however, not new – it has been with us since the 40s - inspiring the science fiction genre in entertainment. Many of today’s algorithms were invented and scientifically proven in the 1950s. The difference between then and now is the availability of data and low-cost communication and computing power with which we can apply algorithms to create innovative, intelligent applications of AI.

With such a powerful tool that AI represents comes great responsibility. In parallel with the applications which benefit society, we have also witnessed applications of AI that can cause great harm to society, undermine democracy, increase discrimination, and raise many ethical questions. Military applications have transformed warfare, and sovereign governments view AI capability as a strategic national capability.

Will AI take over humans? Some believe this may happen, but long before then, the humans who use AI will take over from those who don’t, and the companies which apply AI will take over from those who don’t. This raises a new business and societal imperative – to educate leaders, managers, governments, consumer protection organizations, and a broad cross-section of our society on what AI is (and is not), what benefits we can enjoy with it, and how to deal with the risks and ethical questions it raises.

Certification definition

The AI for Business Certification is designed to recognize the awareness and understanding of individuals regarding the components of AI and its adoption and application in a manner that benefits the business, government, and society. The certification involves considering the benefits, ethical questions, and risks of this powerful technology.

Candidates who have achieved the AI for Business Certification have demonstrated their understanding of AI, its importance, and fundamental concepts such as robotics, algorithms, and machine learning approaches. They know how to organize a team for AI, the approaches and tools required, the dependence AI has on data, and how to manage it. Certified individuals are also aware of how to assess risks and ethical dilemmas for trustworthy AI, can explain how humans and machines will work together in an organization, and have knowledge of the future of AI.

Certification requirements

The certification can be attained exclusively through passing the NL AIC - AI for Business & Government certification exam.

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

Certificate renewal

The certificate is valid for two years.

Exam format

The general exam regulations apply to this exam.
Attempts per voucher:1
Number of questions:60
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
6 Applications of AI and their benefits
  • Importance of data, platform / data driven business models, 4th Industrial Revolution, Singularity
  • What is AI
  • Definition of Human and Artificial Intelligence (AI)
  • Understanding different application areas and benefits of AI
3 Data, Robots and Artificial Intelligence
  • Definitions for data, information, knowledge, intelligence
  • Robotic paradigm
  • Definition of Intelligent Agents and characteristics
15 Predictions, Algorithms, Machine and Deep Learning
  • Data analytics
  • Common problem types
  • Fundamentals - an overview
  • Types of Machine Learning
  • Overview of Common algorithms / techniques
9 Building and assessing an AI application
  • Awareness of key tools for AI
  • Awareness of generic approach (CRISP-DM) to building a model
  • Assessing the risk of a model - an overview
  • Organising the AI Project team
6 Managing Data for AI
  • What is Data
  • What is data management, overview of the key elements
12 Ethics, Risks and Trustworthiness
  • Examples of ethical questions, dilemma's and limitations of AI
  • General definition of ethics and awareness of ethical guidelines (EU Framework)
  • Society concerns and objections to the use of AI
  • Trustwortiness of AI
9 Human and Machine Coexistence
  • List opportunities for AI including where humans and machines work together
  • Awareness of a cognitive taxonomy and ability to describe AI with reference to one (Dilt)
  • Understand the strengths and weaknesses of humans versus machines
  • Understand need to enable innovation and discovery within an AI initiative
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 NL AIC - AI for Business & Government certification exam is different per subject. Please note that some of the subjects and materials are optional.

Subject Literature
Programming and Libraries (optional) Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Author: Aurélien Géron
- ISBN: 1491962291
- Publisher: O’Reilly
Algorithms (optional) Linear Algebra and Learning from Data (1st edition)
- Author: Gilbert Strang
- ISBN: 13 978-0692196380
- Publisher: Wellesley-Cambridge Press
Background to Machine Learning (optional) Machine Learning
- Author: Tom Mitchell
- ISBN: 0071154671
- Publisher: McGraw-Hill
4th Industrial revolution (required) The Fourth Industrial Revolution
- Author: Klaus Schwab
- ISBN: 978-0-241-30075-6
- Publisher: Penguin Random House
Ethics (required) Ethics Guidelines for Trustworthy AI
- Author: High-Level Expert Group on Artificial Intelligence
- ISBN: /
- Publisher: European Commission B-1049 Brussels
Singularity (optional) The Singularity is Near
- Author: Ray Kurzweil
- ISBN: 978-0715635612
- Publisher: Duckworth Overlook

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.