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.

When companies like Wise, Swedbank and Veriff hire people who can turn raw data into decisions, they look for exactly the skills this programme builds.

The Data Analysis with Python course opens a new group on 17 August 2026 — in person in Tallinn, with session recordings for online participants. No prior programming experience is required: you start from the basics and finish able to build real reports.

The programme covers Python (Pandas, NumPy), SQL and relational databases, data visualisation (Matplotlib, Seaborn, Plotly) and tools such as Jupyter, Google Colab and Streamlit.

It is taught by practising data professionals — Igor Yeryomenko (Senior Finance Data Analyst, Bolt) and Nikolai Zubrilov (Python/AI developer, Mentastic) — who work on live projects, so the cases are applied rather than theoretical.

Graduates have gone on to analyst and engineering roles at companies including Wise, Swedbank, Veriff, Betsson, Omniva, Inbank, MAXIMA and If Insurance.

Course funding options: details on the FAQ page.

If you know someone this might be a fit for — share the course link with them.