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:By the end of the course, students will be able to: Explain key AI paradigms and their limits using real examples; Apply ML workflows and justify metric choices for a given use case; Design and prototype an LLM- or agent-based workflow with basic guardrails and evaluation steps; Analyze human–AI interaction needs and iterate a simple UX that supports human-in-the-loop decisions; Evaluate ethical risks and document mitigations for their project; Interpret core legal constraints and prepare a brief compliance and data-governance note; Identify security threats and construct a minimal risk register and hardening plan; Assess environmental impacts of their approach and recommend at least two sustainability improvements; Compare societal impacts across sectors and propose a resilience workflow for a digital public service; Synthesize a value proposition and deliver a concise, evidence-backed pitch for a public or private use case.
Learning outcomes:Information and Communication Technologies (ICTs)
Course language:in English
Volume:lectures: 52 academic hours
Graduation document:TalTech certificate
Lecturer:Karl-Erik Karu, Karl Kiilaspää, Regina Erlenheim, Mihhail Daniljuk, Tarmo Koppel, Raskus Sikk, Maria Claudia Solarte Vasquez, Saban Ibrahim Göksal, Rain Ottis, Kristel Kriisa, Giulia Fantoni, Tayfun Kasapoglu, Erkki Karo, Felix Waschke, Hadi Ashraf Raja, Valerii Gakh, Ekaterina Demiankova
Contact:Maarja Tosso, 6203943, summerschools@taltech.ee
Price:1200 EUR / participant
Registration start:02.03.2026 00:00
Registration deadline:01.06.2026
Place:Tallinn University of Technology

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