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Teaching Advanced AI Development Techniques with a New Master’s Program in Artificial Intelligence Engineering. / Sozykin, Andrey; Kuklin, Evgeniy; Iumanova, Irina.
Supercomputing: Book Series. Springer, 2022. p. 562-573 Chapter 41 (Supercomputing; Vol. 13708).

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Sozykin A, Kuklin E, Iumanova I. Teaching Advanced AI Development Techniques with a New Master’s Program in Artificial Intelligence Engineering. In Supercomputing: Book Series. Springer. 2022. p. 562-573. Chapter 41. (Supercomputing). doi: 10.1007/978-3-031-22941-1_41

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BibTeX

@inproceedings{76ddc85ef0024b2db769c4bac4bacc16,
title = "Teaching Advanced AI Development Techniques with a New Master{\textquoteright}s Program in Artificial Intelligence Engineering",
abstract = "The paper presents a new Master{\textquoteright}s program Artificial Intelligence Engineering at Ural Federal University created in cooperation with IT companies and partner universities. The aim of the program is to teach engineers who are able to develop complex large-scale software solutions that use artificial intelligence and put the solutions into production. The students study in detail not only the theoretical foundations and practical applications of artificial intelligence for various areas (natural language processing, computer vision, time series analysis, information security) but also contemporary methods and software engineering tools for machine learning operations (MLOps). The students acquire soft skills through project-based learning by solving research or real-world problems provided by partner companies, universities labs and Institutes of Russian Academy of Science. In addition to Ural Federal University, the program was implemented at six partner universities. ",
author = "Andrey Sozykin and Evgeniy Kuklin and Irina Iumanova",
year = "2022",
month = dec,
day = "16",
doi = "10.1007/978-3-031-22941-1_41",
language = "English",
isbn = "978-3-031-22940-4",
series = "Supercomputing",
publisher = "Springer",
pages = "562--573",
booktitle = "Supercomputing",
address = "Germany",

}

RIS

TY - GEN

T1 - Teaching Advanced AI Development Techniques with a New Master’s Program in Artificial Intelligence Engineering

AU - Sozykin, Andrey

AU - Kuklin, Evgeniy

AU - Iumanova, Irina

PY - 2022/12/16

Y1 - 2022/12/16

N2 - The paper presents a new Master’s program Artificial Intelligence Engineering at Ural Federal University created in cooperation with IT companies and partner universities. The aim of the program is to teach engineers who are able to develop complex large-scale software solutions that use artificial intelligence and put the solutions into production. The students study in detail not only the theoretical foundations and practical applications of artificial intelligence for various areas (natural language processing, computer vision, time series analysis, information security) but also contemporary methods and software engineering tools for machine learning operations (MLOps). The students acquire soft skills through project-based learning by solving research or real-world problems provided by partner companies, universities labs and Institutes of Russian Academy of Science. In addition to Ural Federal University, the program was implemented at six partner universities.

AB - The paper presents a new Master’s program Artificial Intelligence Engineering at Ural Federal University created in cooperation with IT companies and partner universities. The aim of the program is to teach engineers who are able to develop complex large-scale software solutions that use artificial intelligence and put the solutions into production. The students study in detail not only the theoretical foundations and practical applications of artificial intelligence for various areas (natural language processing, computer vision, time series analysis, information security) but also contemporary methods and software engineering tools for machine learning operations (MLOps). The students acquire soft skills through project-based learning by solving research or real-world problems provided by partner companies, universities labs and Institutes of Russian Academy of Science. In addition to Ural Federal University, the program was implemented at six partner universities.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85144823189

U2 - 10.1007/978-3-031-22941-1_41

DO - 10.1007/978-3-031-22941-1_41

M3 - Conference contribution

SN - 978-3-031-22940-4

T3 - Supercomputing

SP - 562

EP - 573

BT - Supercomputing

PB - Springer

ER -

ID: 33229003