Building Advanced AI Systems 7.5 credits

Course Contents

Effective utilization of ready-to-use and state-of-the-art AI components is crucial to fully realize the potential of AI. The ability to find, evaluate and adapt available AI components suitable for solving complex tasks require knowledge and skills in both software engineering and AI/Machine Learning (ML). In this course, students will develop AI systems for real-life problems, utilizing and combining available AI components as is relevant for the chosen tasks. The course includes the following elements: - overview of state-of-the-art and ready-to-use AI components, - design principles for AI components, - combining pre-trained models, APIs, and open-source tools into larger systems, - understanding and addressing issues like bias, fairness, transparency, and accountability in AI systems, - best practices for scaling AI systems and optimizing performance for real-world challenges, - strategies for deploying AI systems in production environments and monitoring their performance and ethical impact.

Prerequisites

Passed courses at least 90 credits within the major subject Computer Engineering, Electrical Engineering (with relevant courses in Computer Engineering and Software Development), or equivalent, or passed courses at least 150 credits from the Computer Science and Engineering programme, and taken courses in Artificial Intelligence, 7,5 credits, Machine Learning, 7,5 credits and Deep Learning, 7,5 credits or equivalent. Proof of English proficiency is required.

Level of Education: Second cycle

Coursecode/Ladok code: T2KAAA

The course is conducted at: School of Engineering

Label Value
Type of course Programme instance course
Study type Normal teaching
Semester Autumn 2025
Study period week 44 - week 3
Rate of study 100%
Language English
Location Jönköping
Time Day-time
Tuition fees do NOT apply for EU/EEA citizens or exchange students 21375 SEK
Syllabus (PDF)
Application code HJ-T1004