NL AIC AI for Business and Government Certification Exam

This is only the NL AIC AI for Business and Government Certification Exam. The course that will prepare you for this exam is NL AIC AI for Business and Government + exam.
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. 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