AI for Managers
The purpose of the course “Artificial Intelligence for Managers” is to give managers and decision makers a principle understanding of AI and to increase their understanding of opportunities, difficulties, benefits, and risks connected to AI. It is neither an “Introduction to AI” nor an “AI for dummies” course. Instead, it is set to demystify AI and to transform it into an actionable tool for manages and decision makers.
Target group
This course is for product managers, project managers, executives, and engineering managers in organizations that have already made, or are about to make, the transition to working with AI.
Content
The course is organized in three modules. The initial module will focus an introduction to AI, giving an understanding of what type of cases can be addressed with AI and what managers need to know about AI technology. Module two will cover tools and concrete on how to set up an AI strategy and roadmap, how to get started on AI projects, how to integrate AI and IT development, how to (self) evaluate AI in use, and, not to forget, the ethical and legal aspects of AI. The third module will give the participants the chance to use their new knowledge and tools and work with their own practical cases and how they could be addressed using AI.
The goal of the course is to empower the participants to:
- Describe the principal concept of AI, its strengths, and shortcomings
- Understand opportunities, myths, and pitfalls of AI
- Identify problem areas in industry, society, and in management where AI could be utilized
- Analyze how AI can be applied in a particular problem area
- Manage an AI strategy and get started: implement a strategy and a roadmap to apply AI in a particular problem area
- Understand how to integrate AI with IT development
- Assess the maturity of AI utilization in an organization
- Reflect on applications of AI from an ethical and legal perspective as well as the future challenges (technical, organizational, social, etc.)
The lecture on ELSI is given in collaboration with Fondia Legal Services through Mathilde Lecomte, who is a business lawyer and mainly works with commercial agreements as well as data and AI. Mathilde participates in the course with a lecture connected to the legal and ethical issues that companies should be aware of when AI is implemented in the business.
Practical information
All materials will be accessible and include reading material, lecturer slides etc. The lectures can either be attended live via Zoom or later using the recordings at a time that is convenient for the participants. There will be 3 onsite workshops with a focus on interaction with the teacher and the co-participants of sharing real-life experiences and insights. The course will be delivered in a flexible manner to facilitate the combination of course work with your ongoing professional commitments.
The total effort to pass this course is typically around 200 hours.
Teaching language: materials and lectures can be in English but the meetings will be in Swedish.
Schedule Spring 2024
Spring 2024
Introduction: What is AI, what is it good at, and what not? Practical cases from the participants (part I, introductions), mandatory
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- 18/3,13-16, Växjö
- 19/3, 9-12, Online
25/3, 13-14.30, Online: What managers need to know about AI technology (part I)?
8/4,13-14.30, Online: What managers need to know about AI technology (part II)?
15/4, 13-14.30, Online: How to set up an AI Strategy and Roadmap?
22/4,13-14.30, Online: How to get started with AI Projects? AI Canvas
Practical cases from the participants (part II, presentations), mandatory
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- 29/4, 13-16, Växjö
- 30/4, 9-12, Online
6/5, 13-14.30, Online: How to integrate AI and IT development?
13/5, 13-14.30, Online: What are ethical, legal and social implications (ELSI)?
20/5, 13-14.30, Online: How to (self-) evaluate AI in use? AI Due Diligence
Practical cases from the participants (part III, discussions), mandatory
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- 27/5, 13.15-16.00, Växjö
- 28/5, 9-12, Online
Schedule Autumn 2024
Autumn 2024
Introduction: What is AI, what is it good at, and what not? Practical cases from the participants (part I, introductions), mandatory
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- 30/9, 13-16, Växjö
- 1/10, 9-12, Online
7/10, 13-14.30, Online: What managers need to know about AI technology (part I)?
14/10, 13-14.30, Online: What managers need to know about AI technology (part II)?
21/10, 13-14.30, Online: How to set up an AI Strategy and Roadmap?
28/10, 13-14.30, Online: How to get started with AI Projects? AI Canvas
Practical cases from the participants (part II, presentations), mandatory
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- 4/11, 13-16, Växjö
- 5/11, 9-12, Online
11/11, 13-14.30, Online: How to integrate AI and IT development?
18/11, 13-14.30, Online: What are ethical, legal and social implications (ELSI)?
25/11, 13-14.30, Online: How to (self-) evaluate AI in use? AI Due Diligence
Practical cases from the participants (part III, discussions), mandatory
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- 2/12,13-16, Växjö
- 3/12, 9-12, Online
Entry requirements
The basic eligibility for this course is a bachelor’s degree. Candidates with corresponding work experience are also invited to apply. Two years of relevant work experience is considered equivalent to one year of university studies at bachelor level.
The course is free and gives 7,5 ECTS course credits.
This course is developed within the project Smart Industry phase 2 and funded by the Swedish Knowledge Foundation (KK-stiftelsen).