Final Exam: AI Developer

Artificial intelligence    |    Intermediate
  • 1 Video | 32s
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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.

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

IN THIS COURSE

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    AI Developer
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