Course Overview

The course provides students with a comprehensive understanding of creating and implementing AI strategies in industrial organizations, focusing on technical, ethical, and managerial challenges.

Course Highlights

Students study various AI technologies and applications, explore business benefits, and analyze case studies in production and energy sectors. Topics include AI project management, organizational readiness, change management, evaluation of AI tools, ethical and regulatory issues, intellectual property, and building effective AI teams. Sustainability aspects and environmental impact of AI implementations are also discussed, along with future trends in AI for industry and energy.

MAIN GOAL

To equip students with knowledge and skills to develop, implement, and manage AI strategies in industrial and energy sectors, addressing technical, ethical, and organizational aspects.

Learning Outcomes

After completion of this course, you will be able to:

• + Ability to analyze strategic challenges of AI implementation in energy and industrial sectors.
• + Skills in developing AI implementation plans including risk assessment and change management.
• + Competence in evaluating ethical, legal, and regulatory aspects of AI projects.
• + Proficiency in presenting AI strategies and collaborating in interdisciplinary teams.

Meet Your Instructor

Marita Mcphillips

Professor

Admissions

Entry Requirements

• + None.

Teaching and Assessment Methods

• + Lectures (15h)
• + Exercises (15h)
• + Assessment based on quizzes (30%)
• + Class activity (20%)
• + Project (50%)

Application Deadline: TBC

Fees & Funding

Tuition Fees

TBC