Applied AI summer school
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| Date: | 10. - 21.08.2026 |
| Aim of the course: | Give students a rigorous but hands-on introduction to modern AI while cultivating ethical judgment, security awareness, and the ability to turn ideas into validated, pitch-ready solutions for public and private sector use cases. |
| Target group: | BA/MA students |
| Topics: | Core Focus: Introduction to AI, AI & Ethics, AI & Law, AI & Society, AI & Security, NLP & LLM, AI & Sustainability, AI in ensuring the Digital Society resilience, AI & Human interaction, AI & Agents, Machine learning, Innovating Public Services with AI, The Role of the State in Technological Revolutions.
Daily Structure & Methodology: Three daily 90-minute lectures + seminars, where every session immediately applies them via different activities; iterative demos and feedback loops; the program includes a cultural/holiday day and culminates in team pitches to jury. Group Work Focus: Mixed international teams will choose a real-life problem. They will produce problem framing, ethics/safety checklist, model prototype or prompt/agent workflow, evaluation plan, and a pitch with Q&A. |
| Study results: | Learning outcomes: By the end of the course, students will be able to:
1. Explain key AI paradigms (ML, NLP/LLMs, agents) and their limits using real examples. 2. Apply ML workflows and justify metric choices for a given use case. 3. Design and prototype an LLM- or agent-based workflow with basic guardrails and evaluation steps. 4. Analyze human–AI interaction needs and iterate a simple UX that supports human-in-the-loop decisions. 5. Evaluate ethical risks (bias, transparency, accountability) and document mitigations for their project. 6. Interpret core legal constraints (data/IP/liability) and prepare a brief compliance and data-governance note. 7. Identify security threats (e.g., prompt-injection, data leakage) and construct a minimal risk register & hardening plan. 8. Assess environmental impacts of their approach and recommend at least two sustainability improvements. 9. Compare societal impacts across sectors and propose a resilience workflow for a digital public service. 10. Synthesize a value proposition and deliver a concise, evidence-backed pitch (with Q&A) for a public or private use case. |
| Learning outcomes: | Information and Communication Technologies (ICTs) |
| Course language: | in English |
| Volume: | lectures: 52 academic hours |
| Credit points (ECTS): | 2.0 |
| Graduation document: | TalTech certificate |
| Lecturer: | Karl-Erik Karu |
| Contact: | Maarja Tosso, 6203943, summerschools@taltech.ee |
| Price: | 1200 EUR / participant |
| Registration start: | 02.03.2026 00:00 |
| Registration deadline: | 31.05.2026 |
| Place: | Tallinn University of Technology |
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