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Artificial Intelligence Expert Certification Exam

Artificial Intelligence Expert Certification Exam

In 1959, Arthur Samuel, a computer scientist who pioneered the study of artificial intelligence, described machine learning as “the study that gives computers the ability to learn without being explicitly programmed.” Alan Turing’s seminal paper (Turing, 1950) introduced a benchmark standard for demonstrating machine intelligence, such that a machine has to be intelligent and responsive in a manner that cannot be differentiated from that of a human being.

Machine Learning is an application of artificial intelligence where a computer/machine learns from past experiences (input data) and makes future predictions. The performance of such a system should be at least at a human level.

This certification focuses on clustering problems for unsupervised machine learning with K-Means algorithm. For Supervised machine learning, we will describe the classification problem with a demonstration of the design trees algorithm and the regression one with an example of linear regression.

The Exam

  • Number of Questions: 40
  • Question Types: Multiple Choice
  • Duration: Up to 60 minutes

The Learning + Exam Outcomes  

  • Understand the fundamental keys of the deep learning approach
  • Master the theoretical and practical bases of architecture and convergence of neural networks
  • Depicting different existing fundamental architectures and mastering fundamental implementations
  • Master the methodologies for setting up neural networks, the strengths and limitations of existing tools and libraries (pandas, numpy, scikit-learn)

Learning Material 

  • Pdf Text Book

 Prerequisites:

  • There are no formal prerequisites for this certification

 Target:

  • Engineers, analysts, marketing managers
  • Data Analysts, Data Scientists, Data Steward
  • Anyone interested in Data Mining and Machine Learning techniques

Other information:

  • Examination held online 
  • Certification issued digitally by Certiprof
  • After passing you can also claim a digital badge (see product image) for your resume or Linkedin profile 

 Requirements:

  • Operating system: Windows 10 / Mac OSX Sierra 10.12 or higher
  • Chrome OS
  • Supported browsers: The preferred internet browser is Chrome. Internet Explorer, Edge, and Safari are also supported
  • Screen resolution of 1280 x 800
  • Input Devices: Full Keyboard and Mouse
  • Internet Connection: A download speed of at least 5 Mbps