AI/ML 
Rozwój oprogramowania 
AI Training Programs
Hands-on workshops for development teams. Real results from the very first line of code.
AI training is a program designed for technical teams who want to consciously implement modern artificial intelligence tools in their daily work. The workshops are based on real-world scenarios and participants’ code — demonstrating how solutions like GitHub Copilot, GitLab Duo, Cursor, Tabnine, or Amazon CodeWhisperer can significantly boost efficiency in software development and documentation.
Why do AI training programs make sense?
Development teams face repetitive tasks daily — writing unit tests, updating documentation, or refactoring code. While these are essential for project quality, time pressure often pushes them aside or results in rushed execution.
Our workshops demonstrate that AI is not a futuristic add-on, but a practical tool for automating precisely these time-consuming tasks. With tools like GitHub Copilot and alternatives such as GitLab Duo, Cursor, Tabnine, and others, developers can focus on business logic and system architecture — not repetitive lines of code.
This is not a theoretical course, but hands-on collaboration using your team’s actual code — delivering immediate business value.
What challenges do technology companies bring to us?
Lack of time for writing tests and documentation
Diese Aufgaben sind zwar unerlässlich, werden aber häufig ans Projektende verschoben oder ganz ausgelassen.
Lack of knowledge about practical applications of AI in programming
Many teams have heard of AI tools, but don’t know how to use them effectively.
The need for faster onboarding of new employees
Teams are looking for ways to boost developer autonomy from the very first days on the job.
High project pressure
Every efficiency gain can translate into faster MVP delivery or reduced iteration costs.
How does our technology solve this?
We work directly with the client’s code, making it clear where and how AI can support daily tasks.
Participants not only learn how to use the tools, but also gain confidence in applying AI safely and effectively in their daily work.
Participants learn how AI tools like Copilot generate unit tests and documentation, reducing the time spent on these tasks by dozens of percent.
Minimal theory — maximum hands-on practice and ready-to-use scenarios deployable as early as the next working day.
We demonstrate how artificial intelligence can suggest improvements to existing code, ensuring project quality and readability.
We help identify the next steps — from implementing AI tools to building your own code assistants or developer agents.
4D Workshop Model
Together, we identify your team’s development challenges and training goals.
We select tools and training scenarios (e.g. testing, documentation, integrations, refactoring) based on your codebase.
We run the workshop with your team, on-site or remotely, focusing on hands-on exercises and active testing.
After the workshop, we support the continued implementation of each AI tool — from documentation to onboarding.
Why train with us in AI?
- Immediate time savings — tasks that used to take hours now take minutes.
- Improved code and project quality — AI supports documentation, testing, and refactoring in real time.
- Better team morale — developers freed from routine tasks can focus on the creative aspects of their work.
- Accelerated AI adoption across the organization — the team understands how to use tools in line with IT policies and real business needs.
- Scalable knowledge — training is just the beginning — we help expand AI capabilities across the entire organization.
Where do AI workshops work best?
Document processing with artificial intelligence works best in:
Technology companies and software houses — aiming to implement AI into development processes in a conscious and practical way.
R&D and IT teams in corporations — where AI can accelerate iterations, improve documentation, and increase project predictability.
Organizations implementing DevOps or CI/CD — where automation is already standard, and AI can add another layer of optimization.
Regulated industries (e.g. critical infrastructure) — where every line of code must meet strict procedures, and AI helps maintain quality and compliance.
Startups and scale-ups — looking to grow fast without burdening teams with additional repetitive tasks.
