AI IS RESHAPING
EVERY ROLE IN THE
SOFTWARE LIFECYCLE.
STAKEHOLDERS EXPECT FAST
AI TRANSFORMATION
The vast majority of employers expect AI to transform their business.
Skills and role profiles are shifting
Many of today's in-demand skills will change over the next five years.
Tool demos and POCs aren't enough
Teaching basics only buys knowledge with a short half-life. Prompt tricks without engineering depth fade fast.
Upskilling is the key
Productivity, retention and talent depend on the pace of your enablement strategy — not on tool selection.
Four training modules.
Individual learning paths per role.
16 hands-on modules in four maturity clusters. Individual entry points, depth on demand and modular sequencing deliver maximum flexibility at high efficiency.
Know AI
Understand how models and systems work — and how far you can trust them.
Use AI
Put available AI solutions to productive use in daily work: from copilot to agent.
Integrate AI
Embed available AI components into existing system landscapes and turn them into real business impact.
Build & Run AI
Build your own AI services where off-the-shelf stops being enough — and operate, evolve and own them safely.
THE SHARED FOUNDATION TO SCALE WITH AI.
Scientifically grounded, field-tested and modular — scalable at low cost. Everyone on the same level of understanding fast, with role-specific practice assignments.
Download details (PDF)Fundamentals
What AI can do today, where its limits are and which terms actually matter. Everyone starts with the same vocabulary and mental model.
Model understanding
How models work, when they hallucinate, why results vary. The basis for realistic expectations and sound day-to-day decisions.
Practice focus
Individual assignments matched to each role and team context. Learning is applied directly to real questions — and sticks.
Know AI
GEN-AI BASICS
Prompt & context engineering, prompt guardrailing, building skills & GPTs.
GEN-AI BASICS
Prompt & context engineering, prompt guardrailing, building skills & GPTs.
Includes extensive slides, exercises, videos, live demos, practice assignments and deep-dive material.
AUTOMATION WITH AI – BASICS
Focus: AI-supported automation in daily work with low-code tools: iRPA, copilot best practices, understanding agentic workflows.
DATA BASICS
Focus: technical foundations — data science basics, principles of neural networks, ML vs. DL, vector embeddings.
SAFETY & GOVERNANCE (optional)
Focus: understanding regulatory requirements — GDPR & AI, ethical AI, legal, cybersecurity and risk management.
USE AI: ROLE-SPECIFIC TRAINING FOR MORE PRODUCTIVE WORK.
From first user research to production operations — modular trainings that build on each other, taught by senior practitioners.
ENGINEERING
Engineers sit at the interface where AI turns from experiment into product.
The role shifts from writing code to architecting AI-powered systems — with new demands on testing, integration and safe operations.
UI & UX DESIGN
Product design changes in two places through AI: in the way of working and in the outcome.
Designers work more data-driven, prototype faster — and increasingly test AI systems themselves, not just classic interfaces.
PRODUCT OWNER
Product leadership and team enablement become more data-driven and scalable.
The focus shifts: what gets built on which basis, what we learn when it fails, and how fast we react to market change.
4 FREELY COMBINABLE MODULES.
Prompt-driven Coding
Apply AI tools productively in daily dev work: Cursor, Copilot, Claude Code; patterns and anti-patterns. Direct interaction — you steer every step.
Spec-Driven Development
Develop based on specifications: specs in Markdown, Agent.md, skills, evaluation in the dev setup. From prompt to spec — context instead of single instructions. Working in plan mode.
Scenario-Based Testing
AI writes and validates tests. Acceptance criteria as prompts, code against tests, regression safety. Specs get more coverage: tests become the guardrail for more autonomous work.
Orchestrating (Multi)-Agent Loops
Coordinate multiple AI agents in the dev workflow: subagents, parallel workflows, harness engineering, review gates. Maximum autonomy only works with specs and test guardrails in place.
BY ENGINEERS, FOR ENGINEERS.
For ambitious tech and product teams that want to use, integrate and build AI themselves: from the first automation flow to their own agent service.
100% CUSTOM: INTEGRATE + BUILD AI
- ✓ Domain-first: AI in the context of real enterprise dev & product expertise
- ✓ Engineering depth from clean code to agentic systems
- ✓ ABC clusters: individual learning paths and highly individual guidance
- ✓ Onsite events & hackathons – continuous know-how transfer with outside impulses
ONLINE DEV AI TRAININGS
- ✗ Generic AI knowledge with no measurable progress
- ✗ Focus on features and tool demos with a short half-life
- ✗ One-size-fits-all across all experience levels
- ✗ Little transfer to brownfield enterprise software engineering
INTEGRATE & BUILD AI:
FROM ENABLEMENT TO DEEP VALUE CREATION.
Engineers integrate available AI services into existing system landscapes and build their own where standard solutions deliver no competitive edge.
Focus on business value
Teams learn to connect existing AI components pragmatically to their own systems instead of building from scratch for months. First productive use cases land in weeks, as part of the training.
Operate & evolve safely
Teams learn to bring AI features into robust operation, monitor them and improve them continuously. Solutions are owned by the team — from integration to roadmap.
Control over critical paths
Teams learn to build their own services where data sovereignty, compliance or differentiation rule out standard solutions. Stack, models and data stay in house.
AI IN PRODUCTION: INTEGRATE & BUILD AI.
Connect + Automate Embedded Services
Embed existing AI services into products and workflows: third-party APIs, MCP fundamentals, asynchronous processing.
RAG & Knowledge Integration
Focus: integrating domain knowledge — vector stores, chunking, reranking, typical RAG failure modes.
Safety & Guardrails in Products
Focus: safe AI integration — injection defense, validation, hallucination mitigation, human in the loop.
EVALS, PIPELINES & ML-OPS
Measure and continuously improve quality: golden datasets, LLM-as-judge, feedback loops, eval-gated CI/CD.
MODULAR LEARNING PATHS BY TEAM MATURITY.
Product teams and portfolio companies evolve at different speeds. Individual paths are possible.
Individual modules and options at portfolio and team level.
Every team starts at a different maturity level. The framework picks up exactly there and grows along all competence axes – from the first productive use case to your own agent service.
WE SUPPORT YOU INDIVIDUALLY.
Train-the-Trainer AI programmes
We help you build internal AI ambassadors – with licensed train-the-trainer concepts that scale.
Organising inhouse hackathons
Business-oriented hackathons with safe playgrounds, the latest tools and experts onsite – for measurable outcomes and access to early-access and beta tools.
Community formats
Community of practice meets structural skill building: we support clients in regular cycles – with minimal organisational effort for the teams.
Keynotes & AI insights
From partner days to inhouse events: we curate speakers, deliver domain-specific impulses and state-of-the-art insights for every team and department.
QUESTIONS?
Let's talk about AI enablement for your teams: we'll put together the right learning path per role and maturity level.