Become an AI-Ready Product Engineer Newest curriculum starts January 2027!

A short test of logical thinking. No preparation needed. Takes up to half an hour.

The logic game is a test designed to assess your logical thinking skills. Ensure you can dedicate up to uninterrupted half hour and have a stable internet connection. Once started, the test cannot be paused and must be completed in one go.

Recommendations:

• Mute your notifications, sit comfortably.
• Ensure you can concentrate fully on the test for the 30 minutes.
• Don’t give up! The test intentionally lacks instructions to challenge your problem-solving abilities.
• Take your time to think through each task thoroughly.

Results

• You will receive your results immediately via the platform.
• If you pass the test, the platform will promptly inform you of the next steps.

A mandatory online briefing about the programme, pricing, and methodology.

Info sessions take place:

• December 2026
• January 2027

A 3-week intensive admissions test. 2 weeks on-site in Jõhvi, Võru, or Paide, plus 1 week remotely.

Real projects, real peers. This is where you find out if it’s for you.

Next Admissions Period: September 7th – September 23rd, 2026

The study process starts with different topics on our learning platform. Each week ends with an exam to assess what you’ve learned. On weekends, there are group projects that reinforce the knowledge from the previous week.

Applicant = Sprinter

As an applicant, it helps you determine whether programming and the //kood learning methodology are the right fit for you. At the same time, it prepares you for what may become one of the most intense yet most rewarding periods of your life. You’ll make new friends, learn a lot, and achieve more than you ever thought possible!

Read the stories about the experience from our past Sprinters

If selected, you will start your studies at the end of January 2027. Pay back in installments. With the ISA contract, payment is only due when you have found a well-paid (above Estonian average salary) job.

If you wish, you can pay the entire program cost of 4,500 € at once.

AI literacy, proficiency & excellency.

• Context engineering rather than lucky prompting, reviewing generated code as strictly as you’d review a junior’s pull request.
• Using AI to decode errors, accelerate research, draft boilerplate, review your own work, pressure-test architectural choices.
• Knowing when AI is reliably strong and when it’s reliably dangerous.
• Building the instinct to stop and think when the problem is novel.

The technical layer.

• Programming fundamentals, data structures, testing, error handling.
• Database design and safe concurrent access. HTTP, REST APIs, and how the web works under the hood.
• Server-side frameworks, ORMs, authentication and authorization.
• Frontend frameworks, real-time communication, full-stack architecture.
• Multi-service systems, message queues, third-party integrations, production operations.
• LLM integration, retrieval-augmented generation, vector databases, designing for non-deterministic output.
• Throughout your studies, you will learn clean architecture, deliberate dependency choices, observability, containers, CI/CD pipelines, secure-by-default thinking.

The professional layer.

• How to decide what’s worth building.
• How to receive feedback without taking it personally and give it without softening it into uselessness.
• How to ask a question that someone can actually answer. How to own a failure before someone else finds it.
• How to decompose ambiguous work, estimate your own time, and flag drifting off course when you see it.
• How to explain technical work to people who aren’t engineers without losing the truth of it.

Brand new curriculum curated by leading industry experts.

Layers are not separate courses. They’re woven into projects, because that’s how they’re achieved in real engineering.

The technical layer.

• Programming fundamentals, data structures, testing, and error handling.
• Working with files and databases – schema design, SQL, and safe data handling.
• HTTP, REST APIs, and how the web works under the hood.
• Building backend services, then using frameworks, ORMs, and authentication.
• Logging, debugging, containers, and CI pipelines.
• Across it all: clean structure, separation of concerns, and deliberate technical choices.

The professional layer.

• Giving and receiving direct, useful feedback.
• Asking clear questions and taking ownership of your work.
• Collaborating through Git, branches, and code reviews.
• Communicating intent clearly in code, commits, and documentation.
• Working through confusion and unfamiliar problems.

AI basics.

• Using AI to understand code, debug issues, and explore APIs and databases.
• Evaluating AI output critically – testing and verifying, not trusting blindly.
• Learning when AI helps and when it misleads.

These don’t sit in separate courses. They’re woven in through projects at the same time, because that’s how it works in real teams.