RUNEUAI
We learn to think better when we can visualise data. This course explores and refines practical workflows with tools of artificial intelligence. Students learn to how to explore and refine outcomes-based workflows with AI tools. Skills learned during this training contribute to improved data literacy, critical thinking, and the ability to derive actionable insights from complex information.
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Here's a breakdown of the workload involved in taking this course, starting on 15 September 2025 with a week-long residence portion in Leiria, Portugal. Course activities run through the middle of November.
Five days of workshops in Leiria. (40 hours)
During the in-residence portion of this course, we apply critical thinking skills to to break down simple and complex tasks. By examining case studies during afternoon workshops, we discover ways to integrate AI into daily routines through ethical and sustainable practice. As part of our coursework, we hear and see experts sharing how they have achieved unprecedented productivity through their digitally transformed workspaces. Roundtable discussions reveal the challenges we face to adapt and manage the delicate balance between technological efficiency and human creativity. This intensive training in Polytechnic Leiria addresses the crucial gap between potential and practice, equipping you with the strategies to not only coexist with AI but to thrive alongside it, turning data into decisions and insights into action.
Seven two hour Zoom active learning sessions. (14 hours)
An important part of Practical Workflows with AI occurs during a series of online calls spread across the eight weeks of the programme. The first part of each call follows an agenda to cover each of the main topics in the course. The Zoom sessions integrate hands-on breakout sessions to help us complete items on our task lists. The final three sessions feature presentations of group work and are recorded for review by external assessors.
Seven one hour campfire sessions. (7 hours)
During 15 minute sessions, we share samples of work arising from attempts to enhance personal productivity through the improvement of critical thinking, possibly with the ethical and sustainable use of AI.
One-on-one review session. (1 hour)
Individual review sessions allow everyone to show how we have used newly learned techniques to produce a higher level of personal productivity. Evidence from these sessions become part of the RUN-EU AI Showcase of Student Work.
Team Meetings. (14 hours)
Using suggestions offered during the residence portion of the Special Advanced Programme, we exchange ideas in peer learning sessions that result in the successful completion of team projects.
Independent Study. (64 hours)
Expect to read, view, and listen to Practical Workflows with AI. Course notes include links to accessible ebooks, PDFs, and audio files. It takes time to master the hands-on tasks cited in the AI Skills Cards and to prepare for team meetings.