Final Exam: AI Developer


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Final Exam: AI Developer will test your knowledge and application of the topics presented throughout the AI Developer track of the Skillsoft Aspire AI Apprentice to AI Architect Journey.



Expected Duration (hours)
0.0

Lesson Objectives

Final Exam: AI Developer

  • compare AI developer with AI Engineer and list skill set differences
  • compare AI developer with Data scientist/AI Scientist and list skillset differences
  • compare AI developer with ML Engineer and list skill set differences
  • compare AI developer with Software Engineer and list skill set differences
  • compare AWS with Amazon ML distinguish main features and identify how to use Amazon ML with AWS
  • compare CNTK with other frameworks and specify the advantages and disadvantages of CNTK
  • compare Keras with other frameworks and specify its advantages and disadvantages
  • compare Spark with other big data platforms and identify key advantages and disadvantages of using Spark
  • define skillset and toolset knowledge required to become AI developer
  • describe AI Developer's role in relation to tech industry
  • describe Amazon ML Framework and define main concepts needed to implement AI with Amazon ML
  • Describe Amazon ML in AI
  • describe Cognitive Machines and specify their uses and importance
  • describe Distributed Computing and specify the advantages of using it in AI Development
  • describe Expert Systems in terms of Cognitive Modelling
  • describe how to create deep learning models using Keras
  • describe how to create Machine learning models using Amazon ML
  • describe how to use Amazon SageMaker for automated Machine learning model deployment
  • describe how to utilize Amazon ML Polly toolkit for text to speech translation
  • describe Keras framework and define main concepts needed to work with Keras
  • Describe Keras in AI
  • describe key benefits of using Amazon ML for AI Development
  • Describe Microsoft CNTK in AI
  • describe Spark Components environment and name the benefits of using it in AI Development
  • describe Spark Framework and define main concepts needed to work with Spark
  • Describe Spark in AI
  • describe the concept of a cobot and list multiple cobot use cases
  • describe the concept of Cognitive Modelling and define its importance
  • describe the process of creating Natural Language Processing pipelines using Spark
  • Describe types of AI Framework Overview and details.
  • Describe what are the AI Frameworks and Importance in the AI domain
  • identify key documents and resources for in-depth information about Amazon ML framework
  • identify key documents and resources for in-depth information about CNTK framework
  • identify Key documents and Resources for in-depth information about Keras framework
  • identify the benefits of using CNTK toolkit
  • identify the disadvantages of the Keras framework
  • identify ways in which AI can reason similar to the human brain
  • Illustrate Modelling flow using Microsoft CNTK
  • implement Natural Language Processing techniques to develop a smart Q&A system
  • list companies which are implementing Cognitive Modelling approaches
  • list possible applications and use cases of AI in the Robotics industry
  • recall a brief history of the Robotics industry
  • recognize Python API for CNTK and identify key approaches to implementing AI with Python & CNTK
  • recognize the benefits of using Keras
  • recognize the concept of a cobot and list multiple cobot use cases
  • specify how AI & Robotics are used in the Automotive industry
  • specify how AI & Robotics are used in the Healthcare industry
  • specify how AI & Robotics for military application
  • specify how CNTK can be used in combination with cloud services
  • specify how CNTK can be used with other languages like C/C++, Java, .Net, C# etc.
  • specify how Cognitive Modeling can be used in AI applications
  • specify the relationship between TensorFlow and Keras and identify how Keras models can be optimized with TensorFlow
  • specify the responsibilities of AI developer in a company
  • specify the role of Reinforcement Learning in Robotics
  • specify ways in which AI can reason similar to the human brain
  • troubleshoot CNTK installation
  • troubleshoot CNTK installation on Windows
  • troubleshoot Spark Installation on Windows
  • troubleshoot Spark Installation on Windows Subsystem for Linux
  • work with Natural Language Processing techniques to develop a smart Q&A system
  • Course Number:
    it_feaia_02_enus

    Expertise Level
    Intermediate