AIM

AI Management

Is your organization facing challenges in implementing AI or getting value out of your data? AIM offers expertise and training in AI Management. We help you transform challenges into opportunities through practical knowledge and close collaboration with leading companies. With us, you get the tools and insights you need to succeed with AI in your business.

Develop your expertise in AI Management through courses for professionals. The AIM program is a collaboration between JTH (School of Engineering) and JIBS (Jönköping International Business School) and several industrial companies.

Courses starting in fall 2025

AI in Industry and Business, 2.5 credits

Understand the fundamentals of AI

This flexible online course is designed for professionals who want to understand and apply AI in industry and business. You’ll explore modern AI techniques—including deep learning and large language models—and learn how to identify opportunities for AI-driven innovation.

The course covers practical applications, AI readiness, data management, governance, and critical issues like ethics and security. Through real-world examples and interactive seminars, you'll gain the skills to evaluate and implement AI in your organization. Here External link, opens in new window. you find the preliminary schedule.

style Type of education: Courses for working professionals

event Start date: 15 September 2025

place Location: Online, including two online-seminars

clear_all Level: Master

access_time Length: 6 weeks

rotate_right Application period: Application opens June 15

Data-driven AI decision makers 5 hp

Data-driven AI for decision makers, 5 credits

Unlock the potential of AI in your organization

This course is designed for professionals in industry and the public sector who want to understand how data-driven AI can enhance decision-making. Learn how to translate business challenges into AI tasks, explore real-world use cases, and gain practical experience in workshops and projects. You’ll get an overview of modern AI techniques and how they can be used to design decision support systems. The course will give you practical experience in both project design and using software for data analysis. No coding required! Here External link, opens in new window. you find the preliminary schedule.

style Type of education: Course for working professionals

event Start date: 11 August 2025

place Location: Online, inclusive one online-seminarie

clear_all Level: Master

access_time Length: 13 weeks

rotate_right Application period: Application opens 16 june 2025

The AIM project

Objectives

The primary objective of the AI Management (AIM) project is to develop and implement industry-related advanced level courses for professionals. This means strengthening the university's ability to collaborate with industry in education, providing industry with up-to-date scientific knowledge and skills, and strengthening cooperation between the university and industry. The project aims to create a comprehensive curriculum in AI Management, offering courses worth 45 credits that are developed and delivered in collaboration with industry.

The importance of the project

The AIM project is important because it meets the growing need for AI management expertise in various industries. By combining theoretical and practical knowledge, the project provides participants with the necessary tools and insights to create strategies in the AI era, understand the implications of data-driven strategies, and deal with ethical considerations for introducing AI. In addition, the project increases the competitiveness of participating companies by providing them with the latest knowledge and skills in AI, supply chain management and innovation. The collaborative nature of the project ensures that the courses are tailored to the specific needs of the industry, making the training highly relevant and useful.

Expected results

The AIM project is expected to deliver several key results:

Increased competence of professionals in AI management, data-driven decision-making and strategic innovation.
Increased adoption of AI technologies and data-driven approaches across sectors, leading to improved efficiency, innovation and competitiveness.
Stronger collaboration between the university and industrial partners, fostering a continuous exchange of knowledge and expertise
A comprehensive and industry-relevant curriculum in AI Management, comprising courses worth 45 credits that are continuously updated and refined based on industry feedback.
Development of interdisciplinary courses that combine AI technology with supply chain management and strategic innovation, providing a holistic understanding of AI management.
Provide professionals with skills to accelerate transformation and drive effective AI adoption in their organizations.
Graduates will understand the implications of AI for business, strategy and implementation.