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Certified Artificial Intelligence Foundation

About Certification

GSDC's global accredited Artificial Intelligence Foundation displays proven knowledge and competencies of methodology which is used to design and build a non-human system simulating human intelligent behavior. This qualification exam tests candidates knowledge and understanding of the terminologies and key AI principles.

 

You will become AI certified while improving your capability to build and design an AI system with the help of machine learning. This qualification will help you to understand how businesses receive benefits of having AI enables a system in their process and what challenges they face during building such systems.

 

Objectives

1. Learn Principles and terminologies of human and Artificial Intelligence (AI).
2. Machine learning best practices.
3. Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
4. Learn to avoid challenges of Artificial Intelligence.
5. Learn and manage the risks of Artificial Intelligence.
6. Learn to drive AI-based projects effectively.

 

Target Audience

about-us

Engineers, Scientists

Chief technical officers

Chief information officers

Change practitioners and managers

Service architects

Program head or Project head

Portfolio strategists

Process architects

Business strategists and consultants

Web page developers

 

Benefits

Showcase your expertise.

Learn to build smarter systems.

Stay ahead of your career.

Enhance your understanding of AI

 

Pre-requisites

Programming knowledge is beneficial for this particular certification.

 

Examination

60-minutes exam.
40-multiple choice questions (MCQ).
26 out of 40-65% is needed to pass.
In case the participant does not score the passing percentage, they will be granted a 2nd attempt at no additional cost. Re-examination can be taken up to 30 days from the date of the 1st exam attempt.
 

SAMPLE CERTIFICATE

 

Exam Syllabus

1. The AI uprising: Trends, Tools, and Applications:

  • AI importance in today's business.
  • Fundamentals of AI, Machine Learning, and Deep Learning.
  • AI implementation and challenges.
2. Customer experience and AI:
  • Customer experience (CxDNA) model for AI implementation
  • Use of AI to create demand, to enable sales, and to drive customer service.
  • Analyze customer segments, conversion rate optimization.
3. Operation Management with AI :
  • How AI can be used to optimize your operating processes to increase agility, reducing costs, enhance quality.
  • AI in Operations Ecosystem: Sourcing, Making, Storing, Routing, and Delivering products and services.

4. AI for Business Support Functions :

  • AI for business support functions like Human Resource Management, Financial Management, IT Systems Management, and Risk Management.
  • AI-driven candidate screening.
  • AI-driven collections management.
  • AI-driven code development.
  • AI for fraud prevention.
5. AI for different industries (Casestudies) :
  • AI for Travel and Tourism.
  • AI for Healthcare.
  • AI for Automobiles.
  • AI for Banking.


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