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For software teams
AI Developer Training
Hands-on AI training for software development teams.
Turn modern AI tools into a practical part of the software development lifecycle — from coding and testing to code review, APIs, MCP and AI security.
A practical format
Not another slide-based AI course.
Developers learn AI by using it.
Our workshops are built around practical development scenarios, prepared demo projects and hands-on exercises.
Participants work through real software engineering tasks and learn where AI accelerates development — and where human engineering judgement remains essential.
Workshop scope
From AI coding to secure integration.
Four connected areas cover day-to-day tools, engineering, quality and the responsible use of AI.
02
GitHub & Copilot
03
AI Engineering
04
Quality & Security
Connected by design
One workflow. Multiple AI tools.
Instead of presenting isolated AI features, the workshop can follow a shared development project through the complete engineering workflow.
- 01 Task
- 02 Analysis
- 03 Implementation
- 04 Refactoring
- 05 Testing
- 06 Pull Request
- 07 AI-assisted Review
- 08 Integration / MCP / API
Participants can compare different approaches and tools on the same engineering problem.
Workshop modules
A program with a clear progression.
The modules provide a coherent foundation, while their scope and sequence are adapted to the team and the objectives of the workshop.
AI-assisted development & GitHub Copilot
Practical work with AI coding tools, context, instructions and existing codebases as part of the everyday development workflow.
Testing, code review & AI security
AI-assisted testing and review, combined with model limitations, sensitive-data protection and practical security risks.
MCP, OpenAI API & modern AI coding tools
Hands-on integration through APIs and MCP, with a grounded view of where agentic workflows are useful.
Adapted to your engineering environment.
The program can be tailored to team seniority, technology stack, internal standards, security and compliance requirements, and the development workflows your organization actually uses.
Expert-led delivery
The right expertise for the right topic.
The complete training program is led and guaranteed by a senior software and AI developer.
Selected sessions can be enhanced by additional subject-matter experts from industry and academia, depending on the workshop scope and expert availability.
This allows us to combine a consistent workshop experience with deep expertise in selected technologies.
One lead trainer.
Specialist expertise where it matters.
One coherent workshop.
Lead Trainer
Roman Dziedzinskyj
Senior Software & AI Developer
Lead Trainer
Roman connects software development with the practical use of AI coding tools, APIs and integrations. He leads the workshop through hands-on engineering scenarios.
The complete workshop delivery and continuity of the program remain guaranteed by the Lead Trainer.
Designed for software development teams.
- Software developers
- Senior developers
- Tech leads
- Software architects
- QA / test engineers
- Engineering teams adopting AI-assisted development
Workshops can accommodate mixed seniority levels.
What participants take away.
- Practical AI development workflows
- Reusable prompting and instruction patterns
- An understanding of the strengths and limitations of AI coding tools
- Experience with AI-assisted testing and code review
- Practical MCP and API implementation experience
- Security awareness for AI-assisted development
- The ability to choose the appropriate AI tool for the engineering task
Custom / Enterprise
Built around your development environment.
The workshop can be adapted to the technologies, workflows, development standards and AI policies used by your organization.
Where required, exercises can be designed around a dedicated demo environment without exposing proprietary source code or sensitive company data.
A workshop for your team
Bring AI into the development workflow.
Let’s design a practical workshop for your engineering team.