Rethink. Build. Create value.
For people who want to invent, build and sell their own startup from scratch — or upskill with AI. Market analysis, an AI product, marketing and sales in one-to-one sessions with practitioners.
Taught in Polish or English · Dozens of hours of one-to-one teaching with practitioners
Who the courses are for
Your own startup from scratch
New qualifications
A practitioner works with you alone: explains, builds alongside you and reviews your code and decisions. Pace and learning plan follow your goal.
Hours with instructors: one-to-one, pair coding and mentorship
The world of technology and AI
Google, Microsoft, NVIDIA, OpenAI, Spotify, Airbnb and many more — companies setting the direction of technology and AI. At reKoncepcja you gain practical skills and build your own product.
From idea to sales
Three professional education programs for future founders and people who want a new specialism or to upskill: fast idea validation, the whole route from idea to sales, or growth and scale. Every one includes one-to-one teaching, pair coding on your product and mentorship.
2 monthsBasic course · Essentials
A fast startup start: in 8 weeks from an idea and customer conversations to an AI prototype, a landing page and a first demand test.
2 months · €4,450 · PLN 19,450
Explore course scope
5.5 monthsNew specialismProfessional education · new specialism
Comprehensive training for a new specialism: AI Product Engineer. Problem, validation, an AI product, launch, marketing and sales — 12 modules and 33 assignments in 5.5 months.
5.5 months · €8,900 · PLN 38,900 · −10% for Twój StartUp beneficiaries
Explore course scope
7 monthsExtended course · Advanced
From first customers to scale: growth and retention, unit economics, AI costs, security and an architecture ready to grow. 30 weeks in total.
7 months · €13,900 · PLN 60,750
Explore course scopePreparation from scratch: 8 weeks, 10 h/week and a weekly 30-minute mentor check-in. Coding, Git and web basics — then you join your chosen course.
Team training built on the full course and your company’s project. Schedule, support and pricing tailored to you.
Team service details →From problem to product
Ambitious projects you can build. In 20 weeks you ship a working MVP — you set the scope with your mentor.
Tracks work in the Sejm: AI summarises bills, parliamentary prints and votes, and alerts industries to changes that affect them.
MVP: data from the public Sejm API, summaries with citations to the source document, sector alerts, summary-quality evaluation.
Gathers news from many outlets, groups it into stories and shows how different media frame the same event — with claims flagged for fact-checking.
MVP: RSS ingestion, story clustering, side-by-side framing, claim extraction with links to every source.
Answers legal questions using court rulings and legal acts, citing case numbers and exact passages — and showing how case law has evolved.
MVP: an index of public rulings and acts (ELI), semantic search, answers with citations, a test set of legal questions. Speeds up a lawyer’s work.
Checks suspicious texts, e-mails and links and explains in plain language whether it may be a scam — a fake parcel fee, the “grandchild” trick — and what to do next.
MVP: message and link analysis, explanations for non-technical users, a library of known schemes, tests on real and fake messages.
Uses dynamic electricity prices, the weather forecast and meter data to plan when to charge the car, heat water or run equipment — and calculates the savings.
MVP: consumption data import, hourly prices from public sources, a recommended schedule, a savings dashboard.
A voice assistant answers calls for a clinic or salon, checks free slots in the calendar and books the visit — think Booksy meets ElevenLabs.
MVP: voice conversation, calendar integration, hand-off of difficult cases to a person, tests on recorded calls.
From problem to product
Booksy, ElevenLabs and Airbnb did not start as finished companies but with a specific annoyance, a small test and fast learning. It is the same way of thinking you practise on the course.
2014
Stefan Batory, Konrad Howard
Physiotherapists, hairdressers and beauticians cannot answer the phone mid-service. Booksy moved appointment booking into an app that works around the clock.
An everyday annoyance on both sides is a problem worth solving.
Photo: Booksy, CC BY 4.0, cropped
2022
Mati Staniszewski, Piotr Dąbkowski
Two friends from a Warsaw high school were tired of Polish voice-over, where one narrator reads every role in a foreign film. They built realistic AI speech synthesis and dubbing.
AI creates the most value when it answers a specific, familiar frustration.
Photo: Rafał Masłow, CC BY-SA 4.0, cropped
2012
Mariusz Gralewski
After selling GoldenLine, the founder tackled how hard it was to find a good doctor and book an appointment. A Polish website grew into a platform operating in many countries.
A solution proven in one market can then be scaled.
1999
Rafał Brzoska
He started with a leaflet-distribution business. Parcel lockers solved the problem of recipients who are not at home when the courier arrives — now a fixture of Polish cities.
A small start does not limit scale if you hit a real need.
Photo: Warsaw PhotoProton Studio, CC0, cropped
1994
Marcin Iwiński, Michał Kiciński
Two school friends started by importing foreign games and producing Polish localisations. Knowing players and the market later let them create The Witcher.
Before you build your own product, get to know your users well.
Photo: AdamLiwinski, CC BY 2.0, cropped
2009
Michał Borkowski, Tomasz Kraus, Łukasz Haluch
Zadane.pl started in Kraków as a site where students help each other with homework. A local website grew into a global learning platform.
A community that helps itself can be the strength of a product.
Photo: TechCrunch, CC BY 2.0, cropped
2014
Rafał Modrzewski, Pekka Laurila
A student satellite project at Finland’s Aalto University set out to track Arctic ice. A Polish co-founder turned it into a company building small radar satellites.
A university project can become the start of a company.
Photo: European Commission – Audiovisual Service, Christophe Licoppe, CC BY 4.0, cropped
2008
Brian Chesky, Joe Gebbia, Nathan Blecharczyk
When San Francisco hotels were full during a conference, the founders rented air mattresses in their own flat to attendees.
Test the idea by hand before you build a platform.
Photo: U.S. Department of State, public domain, cropped
2010
Patrick Collison, John Collison
Accepting payments online meant weeks of bank paperwork. Two brothers from Ireland reduced it to a few lines of code.
Removing friction for the user can be the whole product.
Photo: JD Lasica, CC BY 2.0, cropped
2007
Drew Houston, Arash Ferdowsi
The idea came from a forgotten USB stick. Before the product was ready, a short demo video showed that people really wanted it.
Validate demand before you invest months in code.
Photo: Web Summit, CC BY 2.0, cropped
2013
Stewart Butterfield and team
The team was building an online game and made a chat tool for itself. The game did not take off — the tool became the product.
Knowing when to change direction matters as much as persistence.
Photo: JD Lasica, CC BY 2.0, cropped
2013
Melanie Perkins, Cliff Obrecht, Cameron Adams
While teaching students design software, Melanie Perkins saw how hard it was for beginners. She built a tool for designing simply in the browser.
Watch where people get stuck — that is where the product is.
Photo: Melanie Perkins, CC BY-SA 2.0, cropped
2006
Daniel Ek, Martin Lorentzon
When music piracy was everywhere, the founders decided bans alone would not stop it. They bet on a legal service more convenient than piracy.
The winner is the solution more convenient than current habits.
Photo: Magnus Höij, CC BY 2.0, cropped
2011
Luis von Ahn, Severin Hacker
A Pittsburgh professor and his PhD student wanted language learning to be available without expensive courses. Short lessons and gamification turned learning into a daily habit.
Good learning is about regularity, not a one-off burst.
Photo: EneasMx, CC BY-SA 4.0, cropped
One-to-one in every course
One-to-one teaching, pair coding and mentorship: basic course 120 h, full course 300 h, extended course 450 h. Practitioners from engineering, product and business work on your project, answer your questions and set the pace around you.
Learn from practitioners who build and launch products
Our instructors are entrepreneurs and startup builders themselves. Their experience spans numerous launches of their own products and other teams’ projects — at different stages and in founder, engineering and product roles.
That is the perspective they bring to your project: not only how to write code, but what to build, how to test its value and when to simplify.
Problem discovery, user conversations and choosing what is actually worth building.
Architecture, code, AI integrations and scope decisions — with a product owner's perspective.
Feedback, iteration, priorities and technical risk as a project develops.
Skills with a possible career direction
AI Product Engineering combines skills relevant to several roles. This is what specialists with the skills you gain on the course earn in Europe.
Application engineering, APIs, code quality and testing.
Junior → senior · Europe
€40 000€130 000
Gross annual salary in EUR
AI integration, evaluation and reliability. ML roles may require additional mathematics and specialisation.
Junior → senior · Europe
€50 000€170 000
Gross annual salary in EUR
The same role in the Warsaw market — a reference point for Poland.
Mid → senior · Warsaw
€45 000€80 000
Gross annual salary in EUR
Main program: project → assessment → certificate
In the full course you receive the certificate of completion after 33 accepted assignments, the review in week 10, the launch in week 18 and a passed defense in week 20. A learning journal and attendance under the criteria are also required. The basic and extended courses end with their own final review.
The document lists your hours, assessed competencies, project title and defense date.
