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About Study Course

ECTS:3
Course supervisor:Linda Alksne
Study type:Full time
Course level:Master's
Target audience:Business Management; Management Science
Language:Latvian
Study course description Full description, Full time
Branch of science:Other engineering and technologies

Objective

The course is designed to prepare managers who know how to implement, manage and develop AI solutions in organizations. The course prepares for effective AI project management and implementation in organizations by developing the skills to link AI solutions to business objectives, processes, and real needs. Students learn the full cycle of AI project management from problem definition and design thinking to data strategy, experiments, MVP development, maintenance, and building a long-term AI strategy.Data analysis, strategy, experimentation and a man-centred approach.

Prerequisites

A general understanding of the basic operating principles of organisations and basic experience in project or process management are recommended for successful completion of the course. Interest in AI applications, digital development and innovation will make the learning process much easier. Analytical skills and experience in implementing digital initiatives will be an advantage, but technical data or programming expertise is optional.

Learning outcomes

Knowledge

1.on the lifecycle of AI projects and its fundamental differences from traditional IT systems development

Skills

1.able to identify AI usage capabilities and accurately define the problem to be solved based on organization processes and data reality

Competence

1.manage the full lifecycle of the AI project and coordinate the work of an interdisciplinary team