Final Exam: AI Apprentice
Artificial intelligence | Intermediate
- 1 Video | 32s
- Includes Assessment
- Earns a Badge
Final Exam: AI Apprentice will test your knowledge and application of the topics presented throughout the AI Apprentice track of the Skillsoft Aspire AI Apprentice to AI Architect Journey.
WHAT YOU WILL LEARN
distinguish between an intelligent system and pre-programmed logic using several definitions of artificial intelligence and specify the scope of AI applicationscompare the major differences between intelligent systems including search algorithms, machine learning systems, probabilistic models, neural networks, and reinforcement learning systemslist the tools commonly used for HCI studies and specify their purposerecognize the multidisciplinary nature of HCI and list the areas most involved in the studiesdescribe basic concepts in Computer Visioncompare cognitive modeling and artificial intelligencespecify multiple disciplines involved in cognitive modeling and describe their roleillustrate how computer science is connected with cognitive modelingdefine hybrid learning and describe examples of its usespecify how AI has affected cognitive modeling and enhanced its powerdescribe and distinguish between different types of modeling toolsdefine reactive and limited memory systems and describe reactive AI, limited memory AI, and a combination of bothlist the steps needed to create an object detection neural network and describe how object detection is performedcompare image processing to traditional methods of solving image problemsdescribe how a CV is used in the automotive industry and its role in the development of self-driving carsdescribe how the success of AI solutions in narrow fields is a combination of adequate task, good data, and appropriate tools and list fields that are most impacted by AIconfigure the Python environment for developing AIdescribe how a CV is used in the aerospace industry and list the responsibilities of a CV system on an aircraftdescribe the role of a user-oriented approach in the success of AI applicationsdefine Human-Computer Interaction as a multidisciplinary field essential to computer science and describe its importance for the success of software companiesdescribe the steps needed to create deep learning models and identify guidelines for using themclassify different types of Convolutional Neural Networks by their structure and purposerecognize the most recent research breakthroughs in AI and how they might be used, and list applications of AI that are already on the marketdescribe true research on self-aware AI and compare it with common views on the future of AIdescribe the role Computer Vision plays in the industry and associated trendsidentify the main steps in the HCI process and name multiple methodologies useddescribe the steps needed to create machine learning models and identify guidelines for using themdefine general intelligence in terms of AI tools known today and recognize the amount of work needed to achieve any AGIdefine narrow artificial intelligence, describe multiple areas of its use in the modern world, and recognize the latest researchidentify different types of cognitive models and name popular cognitive modeling applications
troubleshoot usability of an AI application prototypespecify why explainability research in AI is required for developing user-friendly applicationsname and describe different types of cognitive learningcompare image processing to Computer Visionlist the components involved in human-computer interaction (HCI) studies and specify their roledescribe factors that make Python one of the most popular programming languagesdescribe the principles of prototyping and distinguish between a prototype and a demonstration productspecify the role of Anaconda in keeping clear working environmentsrecognize how the performance of Convolutional Neural Network revolutionized CVillustrate how AI can be part of a Computer Vision solutiondescribe how a CV is used in electronics and why cheap consumer electronics are not possible without CVdescribe why using artificial intelligence is becoming important today and list multiple factors that make the use of AI in business necessary for competitive advantagedescribe and distinguish between multiple Python AI librariesspecify the advantages of Jupyter Notebooks and create Jupyter Notebook files connected to the appropriate kernel environmentdescribe the Python programming language and recognize its role in AI developmentidentify reasons why the iterative approach has shown to be most practical when designing software applicationsdescribe distinguishing features of adaptive, interactive, iterative, and contextual cognitive modelscompare artificial superintelligence with artificial general intelligence and specify the multiple factors needed to achieve themidentify the advantages of using Python when developing AIdifferentiate between interpreted and compiled programming languagesdescribe the principles of the anthropomorphic approach to HCIcompare multiple approaches to AI development to distinguish key differences between themdescribe why big data improve AI performance and accuracy by specifying how collecting large amounts of data creates opportunities for new AI development and researchrecognize how CI/CD became essential to any kind of software company and list multiple factors that make CI/CD important for AI companiesdefine symbolic learning and describe examples of its usename and describe basic concepts in and cognition and cognitive modelingspecify the advantages of the Google Collab environment and create files in the environmentrecognize major AI tools used in the industrycompare the performance and functionality of Python AI toolbox to R AI toolboxidentify and describe problems that can be solved using Computer Vision
IN THIS COURSE
1.AI Apprentice33sUP NEXT
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platformDigital badges are yours to keep, forever.