AI Business Applications
BASIC DATA
course listing
A - main register
course code
MMO3979
course title in Estonian
Tehisintellekti ärirakendused
course title in English
AI Business Applications
course volume CP
-
ECTS credits
6.00
to be declared
yes
fully online course
not
assessment form
Examination
teaching semester
spring
language of instruction
Estonian
English
Study programmes that contain the course
code of the study programme version
course compulsory
MAIM26/26
yes
Structural units teaching the course
MM - Department of Business Administration
Course description link
Timetable link
View the timetable
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Õppeaine eesmärk on anda õppijatele teoreetilised teadmised ja praktilised oskused AI-põhiste ärirakenduste loomiseks. Fookuses on AI-assistentide ja -agentide prototüüpimine ning nende kasutamine tööprotsesside automatiseerimisel.
course aims in English
The objective of this course is to provide students with theoretical knoweledge and practical skills for building AI-based business applications. The focus is on prototyping AI assistants and agents and applying them to automate business workflows.
learning outcomes in the course in Est.
Kursuse lõpetanud üliõpilane:
- selgitab AI-assistentide ja -agentide toimimise põhimõtteid ning kirjeldab nende rakendusvõimalusi erinevates ärivaldkondades;
- analüüsib kriitiliselt AI-assistentide ja -agentide kasutamist äriprotsesside automatiseerimisel, tuginedes tehnoloogilistele võimalustele ja piirangutele;
- kasutab iseseisvalt sobivaid tööriistu ja raamistikke AI-assistentide ning -agentide prototüüpimiseks;
- hindab loodud lahenduste efektiivsust ja mõju organisatsiooni töövoogudele ning seostab need organisatsiooni eesmärkidega;
- rakendab töövoogude automatiseerimise lahendusi ning arvestab seejuures andmekaitse, läbipaistvuse ja eetiliste kaalutlustega.
learning outcomes in the course in Eng.
After completing the course, the student:
- explains the principles of AI assistants and agents and describes their applications across various business domains;
- critically analyses the use of AI assistants and agents for automating business processes, considering technological opportunities and limitations;
- independently applies appropriate tools and frameworks to prototype AI assistants and agents;
- evaluates the effectiveness of developed solutions and links them to organizational workflow and strategic goals;
- implements workflow automation solutions and takes into account issues of data protection, transparency, and ethics.
brief description of the course in Estonian
Kursus annab ülevaate AI-assistentidest ja -agentidest ning õpetab nende arendamist ja rakendamist organisatsioonides. Õppijad õpivad kasutama AI-tehnoloogiaid töövoogude automatiseerimiseks ning looma ärilisi prototüüpe vastavalt konkreetsetele vajadustele. Praktiline õpe hõlmab juhtumiuuringuid, simulatsioone ja AI-assistentide konfigureerimist.
brief description of the course in English
This course provides an overview of AI assistants and agents and teaches how to develop and deploy them within organizations. Students learn to use AI technologies to automate workflows and prototype business solutions based on specific needs. Practical work includes case studies, simulations, and AI assistant configuration.
type of assessment in Estonian
-
type of assessment in English
-
independent study in Estonian
-
independent study in English
-
study literature
Aja- ja asjakohane õppekirjandus kuvatakse õppeaine Moodles
study forms and load
daytime study: weekly hours
4.0
session-based study work load (in a semester):
lectures
2.0
lectures
12.0
practices
0.0
practices
0.0
exercises
2.0
exercises
12.0
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
Course-teacher pairs of the corresponding version are missing!
Course description in Estonian
Course description in English