Final Exam: AI Developer

WHAT YOU WILL LEARN

• 

  Specify how ai & robotics are used in the healthcare industry
  

  compare ai developer with ai engineer and list skill set differences
  

  specify ways in which ai can reason similar to the human brain
  

  describe microsoft cntk in ai
  

  work with natural language processing techniques to develop a smart q&a system
  

  describe how to use amazon sagemaker for automated machine learning model deployment
  

  specify how cntk can be used in combination with cloud services
  

  describe how to utilize amazon ml polly toolkit for text to speech translation
  

  compare aws with amazon ml distinguish main features and identify how to use amazon ml with aws
  

  describe cognitive machines and specify their uses and importance
  

  define skillset and toolset knowledge required to become ai developer
  

  describe what are the ai frameworks and importance in the ai domain
  

  specify the role of reinforcement learning in robotics
  

  recognize the benefits of using keras
  

  describe amazon ml in ai
  

  identify the benefits of using cntk toolkit
  

  compare cntk with other frameworks and specify the advantages and disadvantages of cntk
  

  list possible applications and use cases of ai in the robotics industry
  

  compare ai developer with data scientist/ai scientist and list skillset differences
  

  specify the relationship between tensorflow and keras and identify how keras models can be optimized with tensorflow
  

  describe amazon ml framework and define main concepts needed to implement ai with amazon ml
  

  specify how cntk can be used with other languages like c/c++, java, .net, c# etc.
  

  troubleshoot cntk installation on windows
  

  describe spark in ai
  

  identify key documents and resources for in-depth information about amazon ml framework
  

  describe spark framework and define main concepts needed to work with spark
  

  compare ai developer with software engineer and list skill set differences
  

  describe keras in ai
  

  identify the disadvantages of the keras framework
  

  describe keras framework and define main concepts needed to work with keras
• 

  specify the responsibilities of ai developer in a company
  

  compare spark with other big data platforms and identify key advantages and disadvantages of using spark
  

  describe the concept of cognitive modelling and define its importance
  

  recognize python api for cntk and identify key approaches to implementing ai with python & cntk
  

  identify key documents and resources for in-depth information about cntk framework
  

  identify key documents and resources for in-depth information about keras framework
  

  describe how to create machine learning models using amazon ml
  

  troubleshoot cntk installation
  

  describe ai developer's role in relation to tech industry
  

  list companies which are implementing cognitive modelling approaches
  

  troubleshoot spark installation on windows subsystem for linux
  

  troubleshoot spark installation on windows
  

  compare keras with other frameworks and specify its advantages and disadvantages
  

  specify how ai & robotics for military application
  

  compare ai developer with ml engineer and list skill set differences
  

  recognize the concept of a cobot and list multiple cobot use cases
  

  describe the process of creating natural language processing pipelines using spark
  

  describe key benefits of using amazon ml for ai development
  

  recall a brief history of the robotics industry
  

  describe expert systems in terms of cognitive modelling
  

  describe distributed computing and specify the advantages of using it in ai development
  

  specify how ai & robotics are used in the automotive industry
  

  describe the concept of a cobot and list multiple cobot use cases
  

  describe types of ai framework overview and details.
  

  describe how to create deep learning models using keras
  

  identify ways in which ai can reason similar to the human brain
  

  implement natural language processing techniques to develop a smart q&a system
  

  illustrate modelling flow using microsoft cntk
  

  describe spark components environment and name the benefits of using it in ai development
  

  specify how cognitive modeling can be used in ai applications