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.

Graduation document:

TalTech certificate

Language:

English

Lecturer:

Registration deadline:

01.06.2026 23:59

Timetable: