The course “Generative Artificial Intelligence: Lab & Toolkits” provides a comprehensive overview of generative systems and their creative potential within the field of artificial intelligence. Generative Artificial Intelligence (generative AI) is a rapidly evolving field focused on developing algorithms and models that can autonomously generate creative content, such as images, text, music, and more.

Throughout the course, students will be introduced to the main theoretical concepts and practical methodologies of generative AI. Starting with the fundamentals of machine learning, we'll explore key architectures used to generate content, such as generative adversarial neural networks (GANs) and encoder-decoders. The course will also cover the most popular tools and libraries used in generative AI.

Students will have the opportunity to apply their newly acquired knowledge through a series of hands-on exercises and a final project. Additionally, the challenges and ethical considerations associated with the use of generative AI will be explored.

By the end of the course, students will be able to understand the theoretical foundations of AI and use practical tools to explore its creative potential. This course is valuable for both aspiring developers and creatives looking to incorporate generative AI into their work, as it opens the door to new avenues of expression and innovation in the world of artificial intelligence.

General rules

• The course lasts a total of 30 hours , and students will also be required to work on assigned project work. To earn University Credit, students must attend 80% of the total hours, which amounts to 24 hours (allowing for a maximum of 6 hours of absence), and the instructor must deem them eligible for the final assessment.
• A tutor will be responsible for recording attendance, which will be done by signing a register. Failure to sign in and/or out will be considered an absence. There will be no exceptions to the sole criterion for awarding university credits: attendance.
• Absence hours will be calculated based on the attendance records. Depending on the schedule or personal needs, students may take a full day off or miss individual hours across multiple sessions.
• Once a student has chosen their course, they will not be able to earn University Credits through any other means.
• Students who have already earned the required University Credits for Other Activities as part of their curriculum, or who have already started attending optional language courses or other activities for which credits are recognized, are not eligible.

Additional information

• The course will take place during the first semester.
• The course will be conducted entirely in English.
• All activities will take place on Friday afternoons and Saturdays (not necessarily every weekend). The 8-hour class days (from 9:00 AM to 6:00 PM) include a lunch break from approximately 1:00 PM to 2:00 PM, which is not counted toward the total hours.

The activity schedule will be available in September. 

Registration

Students enrolled in the second year (academic year 2026–2027) of one of the Bachelor's degree programs in the Departments of Economics and Management, Economics and Business, Management and Artificial Intelligence, Business Administration, Political Science, Global Law, or Politics: Philosophy and Economics, or in the third year (academic year 2026–2027) of the Single-Cycle Master's Degree in Law, can select the Soft Skills course they wish to take to earn credits directly through the Web Self Service while completing their study plan.

For more information, please email: softskills@luiss.it