News

We are launching a new course in our catalogue — LLM Tester: quality assessment of AI systems (with Python basics). The first cohort starts on 6 October 2026, with a second group on 27 October 2026.

As LLMs and generative AI systems move into production, checking their quality and safety has become a distinct specialisation with a low entry barrier. The course suits both newcomers to the field and practitioners — testers, analysts, linguists and developers.

What you will learn

• Python for testing: HTTP requests, working with JSON, calling models via the OpenAI and Anthropic APIs;
• how LLM systems work: tokens, context, non-determinism, and defect classes (hallucinations, bias, prompt injection);
• designing evaluation rubrics and prompts, and the LLM-as-judge method;
• automated eval pipelines: promptfoo, DeepEval, pytest;
• testing RAG systems and AI agents (tool use, tracing);
• basic red teaming: prompt injection and jailbreak tests;
• the regulatory context: EU AI Act, ISO/IEC 25059.

Course highlights

• 120 academic hours, of which 64 are classroom contact hours, with practical work;
• in person in the centre of Tallinn (Tartu mnt 18) and/or online; training materials are included in the price;
• price 1700 € (VAT included);
• official certificate upon completion — with a “pass” grade on at least 75% of the homework assignments;
• no prior programming experience required: the course includes a Python foundations block.

Who this course is for

• current and aspiring testers who want an in-demand specialisation — testing AI systems;
• professionals from other fields considering a move into the AI industry through model quality assessment;
• linguists, editors, translators and analysts — working with language and attention to detail (rubrics, labelling, response evaluation);
• developers and engineers who need to verify the quality and safety of LLM features in their products.

Instructors: Roman Kutselepa and Nikolay Zubrilov.

Book a free consultation — we’ll walk you through the program, format and payment options.

If you know someone who’d find this relevant, share the course link with them.

In 2026, 38% of office workers use generative AI every day — up from 11% in 2024. Skills demand is following: the share of job postings requiring AI tool proficiency has grown from around 5% to approximately 9% in just one year.

This is a market signal, not a temporary spike. Applying AI in day-to-day work is becoming an expected skill — both for those entering a profession and those growing within their current one.

Generated by Routine — 2026-06-23 02:50 (Europe/Tallinn)