Final Exam: AI Developer
Artificial intelligence | Intermediate
- 1 video | 32s
- Includes Assessment
- Earns a Badge
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 industrycompare ai developer with ai engineer and list skill set differencesspecify ways in which ai can reason similar to the human braindescribe microsoft cntk in aiwork with natural language processing techniques to develop a smart q&a systemdescribe how to use amazon sagemaker for automated machine learning model deploymentspecify how cntk can be used in combination with cloud servicesdescribe how to utilize amazon ml polly toolkit for text to speech translationcompare aws with amazon ml distinguish main features and identify how to use amazon ml with awsdescribe cognitive machines and specify their uses and importancedefine skillset and toolset knowledge required to become ai developerdescribe what are the ai frameworks and importance in the ai domainspecify the role of reinforcement learning in roboticsrecognize the benefits of using kerasdescribe amazon ml in aiidentify the benefits of using cntk toolkitcompare cntk with other frameworks and specify the advantages and disadvantages of cntklist possible applications and use cases of ai in the robotics industrycompare ai developer with data scientist/ai scientist and list skillset differencesspecify the relationship between tensorflow and keras and identify how keras models can be optimized with tensorflowdescribe amazon ml framework and define main concepts needed to implement ai with amazon mlspecify how cntk can be used with other languages like c/c++, java, .net, c# etc.troubleshoot cntk installation on windowsdescribe spark in aiidentify key documents and resources for in-depth information about amazon ml frameworkdescribe spark framework and define main concepts needed to work with sparkcompare ai developer with software engineer and list skill set differencesdescribe keras in aiidentify the disadvantages of the keras frameworkdescribe keras framework and define main concepts needed to work with keras
specify the responsibilities of ai developer in a companycompare spark with other big data platforms and identify key advantages and disadvantages of using sparkdescribe the concept of cognitive modelling and define its importancerecognize python api for cntk and identify key approaches to implementing ai with python & cntkidentify key documents and resources for in-depth information about cntk frameworkidentify key documents and resources for in-depth information about keras frameworkdescribe how to create machine learning models using amazon mltroubleshoot cntk installationdescribe ai developer's role in relation to tech industrylist companies which are implementing cognitive modelling approachestroubleshoot spark installation on windows subsystem for linuxtroubleshoot spark installation on windowscompare keras with other frameworks and specify its advantages and disadvantagesspecify how ai & robotics for military applicationcompare ai developer with ml engineer and list skill set differencesrecognize the concept of a cobot and list multiple cobot use casesdescribe the process of creating natural language processing pipelines using sparkdescribe key benefits of using amazon ml for ai developmentrecall a brief history of the robotics industrydescribe expert systems in terms of cognitive modellingdescribe distributed computing and specify the advantages of using it in ai developmentspecify how ai & robotics are used in the automotive industrydescribe the concept of a cobot and list multiple cobot use casesdescribe types of ai framework overview and details.describe how to create deep learning models using kerasidentify ways in which ai can reason similar to the human brainimplement natural language processing techniques to develop a smart q&a systemillustrate modelling flow using microsoft cntkdescribe spark components environment and name the benefits of using it in ai developmentspecify how cognitive modeling can be used in ai applications
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