Training for teams · Munich · on-site or remote
We teach
what we build.
Software, AI, strategy, product design: we pass on what worked in real projects, and say plainly what didn't. Cut to your team, your tools and your cases.
- Trainings
- 9
- Fields
- 3
- Languages
- 2
- Point of contact
- 1
- React fundamentals: components, state, render cycle
- TypeScript in the frontend: types that hold up
- How language models work – and where their limits are
- Prompting: context, examples, structure
- Capturing processes: from gut feeling to flow diagram
- Effort versus benefit: what is actually worth it?
- Market definition and segmentation
- Competitive analysis: sources and pitfalls
- From question to metric
- Metrics that mislead: averages, shares, timeframes
- Business model building blocks at a glance
- Service, product and everything in between
- User research: methods and realistic effort
- Running and analysing interviews
- What a prototype should answer – and what it should not
- Fidelity levels: paper to clickable
- Perception: gestalt principles and visual hierarchy
- Attention and cognitive load
01Where you stand
Three questions teams bring to us. Which one is yours?
01 / 03
Technology
How do we get more out of AI and code?
A modern frontend stack, AI tools that deliver reliably, and automation without a line of code.
3 trainings02 / 03
Business & Strategy
What do we base our decisions on?
Defining markets cleanly, reading metrics correctly, rethinking business models. For leadership and strategy.
3 trainings03 / 03
Product Development & Design
Are we building the right thing?
User research, prototypes as experiments and the psychology behind interfaces that work.
3 trainings02What we know
Six lines from the programme. Each one carries a full day of training.
- 01
A prompt is a specification. Write it vaguely and you get the average back.
To the training: AI Tools at Work - 02
Question first, metric second. The other way round, all you get is a dashboard.
To the training: Data-Driven Decisions - 03
A prototype isn't a small product. It's an experiment.
To the training: Rapid Prototyping - 04
Positioning is settled before the first line of marketing is written.
To the training: Market Analysis & Positioning - 05
If you can't write a process down, you can't automate it.
To the training: Automation for Teams - 06
Interfaces that fight human memory always lose.
To the training: Psychology in Design
03The programme
Nine trainings. Three fields. No stock slide deck.
Every training is cut to your team before the session: tools, prior knowledge, your own examples. On-site or live online, in German or English.
- 01
Modern Web Development
Next.js, React and TypeScript in practice - 02
AI Tools at Work
Using ChatGPT, Copilot & more effectively - 03
Automation for Teams
Automate workflows without coding - 04
Market Analysis & Positioning
Understanding markets, finding niches - 05
Data-Driven Decisions
Understanding and using analytics - 06
Digital Business Models
From service to product - 07
User-Centered Design
Building products people want - 08
Rapid Prototyping
Test fast, learn fast - 09
Psychology in Design
How people make decisions
Putting AI to work takes two things: a team that handles the tools with confidence, and an orderly framework that shows who is responsible for what. The EU AI Act explicitly asks for AI literacy among staff. That is what our trainings are for.
The framework behind it is built by KI-Managementsolutions GmbH: management systems to ISO/IEC 42001, with the evidence an audit wants to see. Their aim: introducing AI so it makes economic sense, stays controllable under regulation and holds up ethically.
balane.academy
AI literacy in the team
- Using tools reliably
- Checking results instead of trusting them
- Privacy and policy in daily work
KI-MS
AI governance in the company
- Management system to ISO/IEC 42001
- Evidence for review and audit
- Ethical assessment of AI projects
For the record: Balane holds a stake in KI-MS. Whether you hire both is a separate decision, and yours.
05How we teach
Four rules every training sticks to.
- From practice, not from the textbook
- We teach what we do ourselves: building software, introducing AI, testing products. You learn what works, and why the rest doesn't.
- Your case, not a textbook example
- Before the session we agree tools, prior knowledge and examples. Exercises use tasks from your working day.
- Plain talk, no buzzwords
- We say where a method hits its limit. Including AI. Especially AI.
- On-site or live online
- In your rooms or remote, in German or English. The content stays the same; the format follows your team.
06How it runs
Four steps from enquiry to transfer.
- 01
Clarify
15 to 30 minutes on team, prior knowledge and goal. Afterwards both sides know whether a training fits. Sometimes the honest answer is no.
- 02
Tailor
You receive a concrete agenda with examples from your context, plus a clear quote.
- 03
Train
Half a day, a full day or several sessions. Few slides, lots of work on your own material.
- 04
Anchor
Materials, exercises and room for the questions that only come up the week after.
07Who teaches

You can tell a good training by the fact that something runs differently next Monday.
Jonas David Höttler
Founder and Managing Director, Balane GmbH
Builds software and AI systems for companies with the Balane GmbH team, works on positioning and product, and teaches the academy's trainings in person. What is said in a training has been tried in real projects first.
Book a call (cal.eu)08Frequently asked questions
What teams want to know before they enquire.
What does a training cost?
Pricing depends on scope, duration and how much adaptation is needed. After a short call you receive a concrete, non-binding quote.
How long does a training take?
A full training day is the default. Depending on the topic and prior knowledge, half-day or multi-day formats are also possible.
Are trainings on-site or online?
Both. We come to your rooms or run the training as a live online session. The content is identical in both formats.
Which languages do you teach in?
German and English. Mixed-language teams are not a problem.
How much is the content adapted?
The structure of a training stays; the examples come from your context. Before the session we agree on tools, prior knowledge and focus areas.
What prior knowledge does my team need?
It is listed on every training. Most topics require no technical background.
Can we book a topic that is not in the programme?
Yes. If a topic fits one of our three fields, we develop the training for it.
How quickly can we get a date?
That depends on scope and your preferred window. Get in touch with your timeframe and we will check availability.
Does a training help with the AI literacy the AI Act asks for?
The training “AI Tools at Work” covers exactly these skills: how language models work, where they go wrong, how to check results and what happens to confidential data. It does not replace legal advice. For a complete AI management system we recommend KI-MS.
How is balane.academy connected to KI-MS?
Balane holds a stake in KI-Managementsolutions GmbH. We train teams; KI-MS builds management systems to ISO/IEC 42001. You can hire either independently of the other.
Next step
What should your team do better next Monday?
Tell us in 15 minutes. We'll tell you honestly whether a training solves it.
