Eesmärk:
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.
Sihtgrupp:
BA/MA students
Teemad:
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.
Õpiväljundid:
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.
Tunnistus:
TalTech tunnistus
Keel:
Inglise
Lektor:
Karl-Erik Karu
Maht:
auditoorne õppetöö: 52 akadeemilist õppetundi
EAP:
2
Kontakt:
Maarja Tosso, 6203943, summerschools@taltech.ee
Hind:
1200 €/osaleja
Registreerumise tähtaeg:
31.05.2026 23:59
Asukoht:
Tallinn University of Technology
Ajakava:
Asukoht:
Tallinn University of Technology
Hind:
1200 €/osaleja
Maht:
auditoorne õppetöö:
52 akadeemilist õppetundi
EAP:
2
Õppekavarühm:
Tarkvara ja rakenduste arendus ning analüüs
Kontakt:
Maarja Tosso, 6203943, summerschools@taltech.ee