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