AI Training · Remote or In Person · Tailored to Your Stack

AI Training for Developer Teams: From Prompt to Reproducible Development Process

Copilot, Claude Code or Codex: the tool is not the question. What matters is the process your team uses to apply AI reliably and repeatably. That is exactly what we build in this training. Step by step, on your real stack.

Microsoft MVP · 3 Technical Books · CEO of Quality Bytes GmbH

AI training and workshops for Deltaplan Odysys
Does this sound familiar?

Things I Hear in Almost Every Company

AI tools are here. But between having licenses and actually using AI productively, there's a gap. If you're nodding at three of these, we should talk.

'I bought Copilot for everyone. Nothing happened.'

The licenses are running, the invoices keep coming, but productivity is flat instead of climbing. No wonder: without a shared setup and an agreed way of working, your team is probably using 10% of what's possible. And paying 100% of the license fee.

'Everyone on the team uses something different'

One swears by ChatGPT, another by Claude, the next uses Copilot, the rest want nothing to do with any of it. No standard, no shared templates, no common line. Chaos instead of strategy.

'AI was supposed to work for us. In practice, my developers work for the AI.'

The hype promises miracles. The reality: hallucinated APIs, code without tests, and answers that get worse the longer the session runs. Your team spends more time correcting AI code than writing their own. Without understanding the limits of the tools, the hamster wheel just spins faster.

'My team just reviews code all day'

AI generates ten times as much code as before. Someone has to read, review, and approve all of it. Your developers go from craftspeople to inspectors. That's not a productivity gain, it's a motivation killer.

'Copilot is getting more expensive. Should we switch to Claude or Codex?'

Pricing changes, a new tool appears every month, and everyone on the team has a different favourite. So: switch? Without your own process, every tool decision is a gut feeling. And barely has it been made, the market has moved on again.

'Let's just book an off-the-shelf training'

Whether Udemy videos for $12.99 or a generic group programme: no connection to your stack, no pre-consultation, no adaptation to your project. Everyone hears the same thing, but nobody gets what they actually need. Cheap isn't affordable when nothing changes afterwards.

What's at stake

Waiting Is Not a Strategy

Whether you keep waiting or carry on without a plan: both cost you money.

You keep waiting

1

Your competition delivers faster. Companies that use AI tools systematically shorten their development cycles noticeably. You don’t lose contracts to better developers, you lose them to better-equipped ones.

2

Your best people leave. Good developers want to work with modern tools. If you ban AI or keep putting it off, you lose talent to companies where they are allowed to use it.

3

The gap keeps growing. The longer you wait, the more know-how you have to catch up on. AI competence doesn’t build overnight. But the distance grows every month.

You carry on without a plan

1

More code, faster debt. AI generates hundreds of lines in minutes. Without a review process this becomes a codebase full of shortcuts: invisible today, expensive at the next release.

2

Proprietary code ends up with third parties. Developers who paste company code into free AI tools often don’t know what happens to the data. Which tools are safe and which aren’t: someone in the company needs to figure that out.

3

Nobody understands what the code does anymore. When developers adopt AI-generated code without understanding it, you end up with a codebase that nobody on the team can explain. That doesn’t show up immediately, but it does when the next bug hits or when onboarding new colleagues.

If this sounds like your team, let’s talk.

Book a Free Consultation →
The real question

We have the tools. Why aren’t we getting faster?

Most companies treat AI like a procurement problem: license the tool, roll it out, done. But without project context the AI builds right past your stack, without shared standards everyone uses it differently, and without a process every good result is luck. That is exactly why a tool alone makes nobody faster. And this knowledge doesn't come by itself: your team can spend months of detours working it out on their own, or build it in two days of training on their own projects. With someone who knows code and business and has walked the path from first prompt to finished process himself.

Why this course is different

CEO by Day.Developer by Night.

By day I run Quality Bytes GmbH. By night I write code, push AI tools to their limits, and figure out what actually works in daily practice.

Not long ago, I was exactly where you are now. I licensed Copilot and friends for my team, gave a 30-minute demo, and expected everything to speed up. It didn’t. The potential was there, but we weren’t tapping into it.

It wasn’t until I sat down myself, tested workflows, wrote instructions and skills, unleashed agents on real projects, and discarded quite a bit of it, that things changed. That took months. I can save your team those months. Today I build my own product app in the evenings entirely with a process like this.

I don't tell you what you should do. I show you what worked for me. And what didn't.

As CEO

Bought Copilot licenses for my team, measured ROI and productivity, clarified data privacy with our DPO, and learned that a demo is not a rollout

As Developer

Compared Copilot, Claude Code and Codex in daily work, wrote instructions and skills, unleashed agents on real projects

In the Course

I openly share what worked, what cost money, and where I got it wrong

Course Offerings

One Course for Your Team. Two Workshops for You.

Your dev team builds setup and process. You as a decision-maker learn what's realistically possible, or start using AI in your own work right away. Everything works independently. Together it ensures that developers and leadership speak the same language and work towards the same goals.

For the Dev Team

AI-Powered Work for Software Developers

From Copilot in the IDE to Claude Code and Codex in the terminal to your own development process with commands, agents and hooks. No slide decks, all live coding on real projects. Available as a two-day intensive, a compact one-day workshop, or a half-day kickstart.

Participants 12
Total Price
€4.560
€380 per participant
View Curriculum ↓
For Management & Team Leads

Workshops for Decision-Makers

Two topics, one format: AI strategy for your company, with an honest answer to what is a dream and what is feasible. Or AI in the CEO's daily work, for your own strategy and organisation. Both with a pre-consultation and live demos.

Strategy Dream or feasible? With 30-day roadmap 180 min · €990
Daily work AI for your own work 180 min · €990
Briefing The compact entry + pre-consultation 90 min · €500
+ Follow-up 60 min after 4–6 weeks +€250
Workshop Details ↓
Interactive Calculator

Is It Worth It for Your Team?

Three inputs, one answer: how quickly does the training pay for itself?

Number of developers (12) and course format (2 Days) are synced from the price calculator above.


€3,840
Tool Cost / Year
€72,000
Productivity Gain / Year
10x
Return on Investment
incl. tool & training costs
3 Days
until the training pays for itself

Change the number of participants or course format above and see how quickly the training pays for itself.

Book a Free Consultation →

Non-binding example calculation. The values shown are estimates and not a guarantee of actual results. Actual ROI depends on project, team, and use case.

References

Who Already Works With Me

Two real-world examples: a training for the development team and a workshop for the management team.

Developer Team

Deltaplan

Two-day AI training for the development team, followed by project coaching to bring the new workflows into day-to-day project work.

Management

Odysys

Workshop with the management team: AI for the operational and strategic work of the company.

André Krämer running a training session on AI Assisted Software Engineering in front of participants
Live from the training: session on instructions, skills and agents.
Developer Course · Curriculum

8 Blocks. 2 Days. At the End, Your Process.

Day 1 lays the building blocks: context, skills, commands, agents and hooks. Day 2 assembles them step by step into the development process for your team. All live coding, no theory slides.

Day 1: The Foundations

Block 1 · 90 Min
Which Tool for Which Task?
First, a look under the hood: how do AI coding tools actually work? No magic, no fear, just technology. Then the live comparison in the same project: GitHub Copilot, Claude Code and OpenAI Codex. What context rot is and why it ruins every long session.
Block 2 · 90 Min
From Bare Prompt to Project Context
The opening experiment: the same task once without and once with project context. Without context, the AI builds right past your stack. With a CLAUDE.md or AGENTS.md describing stack, architecture and test conventions, the result matches architecture and tooling, including tests. In the training we use your real stack.
Live Coding
Block 3 · 90 Min
Skills and Slash Commands
Not every piece of knowledge belongs in every session: we extract skills from the CLAUDE.md that load exactly when they are needed. Then we turn prompts your team retypes every day into reusable commands that work identically for everyone on the team.
Live Coding
Block 4 · 90 Min
Agents and Hooks
We build an agent for a task from your daily work and clarify a principle along the way: some work needs a fresh context instead of the full history. Then hooks: steps like builds, tests or commit rules run deterministically via scripts instead of on demand.
Live Coding

Day 2: Your Reproducible Development Process

Block 5 · 90 Min
Your Process: Planning
From here on we build one shared process across all blocks, tailored to your team. First, planning: how does a requirement become input the AI can work with reliably? What does the AI take over, and where does the human decide?
Hands-on
Block 6 · 90 Min
Your Process: Implementation
The AI implements the planned tasks, checks run independently with a fresh context, quality controls like build and tests run automatically. We build the loop so that failures lead to rework with feedback instead of chaos.
Hands-on
Block 7 · 90 Min
Your Process: Review and Acceptance
When is done really done? We define acceptance criteria and quality gates that match the risk of the change: small changes take the shortcut, big ones the full path. And when something goes wrong, there is a clean way back.
Hands-on
Block 8 · 90 Min
Finale: The Process on Your Project
The process we built together runs end to end on a real example from your daily work, connected to your infrastructure, whether Azure DevOps or GitHub. The result belongs to your team and stays in use from Monday on.
Hands-on

Morning: Context Is Everything

Block 1 · 90 Min
Tools Compared and the Context Experiment
How AI coding tools work, then the live comparison: GitHub Copilot, Claude Code and OpenAI Codex. Followed by the experiment: a prompt without context builds right past your stack.
Live Coding
Block 2 · 90 Min
Project Context and Skills
Write a CLAUDE.md or AGENTS.md for your stack, ask for the same app again and experience the difference. Then split the knowledge into skills that load only when needed.
Live Coding

Afternoon: Automate & Take Home

Block 3 · 90 Min
Commands and Agents
Recurring prompts as slash commands, plus your own agent with a fresh context. Connection to GitHub or Azure DevOps via MCP.
Live Coding
Block 4 · 90 Min
Hooks and Personal Setup
Secure deterministic steps with hooks, plus an outlook on the complete development process with role agents and quality gates. Then each participant sets up their AI configuration for their own project. The laptop is ready on Monday.
Hands-on

Morning (3h): Understand & Be Amazed

Block 1 · 90 Min
Which Tool for Which Task?
First, a look under the hood: how do AI coding tools actually work? No magic, no fear, just technology. Then the live comparison in the same project: GitHub Copilot, Claude Code and OpenAI Codex. What context rot is and why it ruins every long session.
Block 2 · 90 Min
Live Demo: From Prompt to Process
A prompt without context, then with CLAUDE.md, skills and commands. To finish, a look at the complete development process with agents and quality gates. No hands-on, but a focused overview of what's possible today.
Live Demo
Daily Practice

No Slides. Real Artifacts.

This setup is not a training demo, it's my daily routine: it comes from a real product app I develop myself in the evenings. The project structure as-is, plus the four commands briefly explained. We build exactly this kind of setup for your stack in the training.

The project structure
.claude/
├── commands/   /story, /review,
│               /acceptance, /pr
├── skills/     product-api,
│               mvvm-conventions,
│               testing, design,
│               maui-ai-debugging
├── scripts/    guard-secrets.mjs
└── settings.json
CLAUDE.md       Project baseline (always applies)
AGENTS.md       Entry point for all AI tools
docs/agentic-development.md   The process
The four commands and what they do
/story <ticket>
   The ticket first becomes a plan
   and tests. Then a hard stop:
   approval by the human.
   Only then does the AI implement.

/review
   A second agent checks the
   changes independently, with
   a fresh context.

/acceptance
   Automated acceptance tests
   against a test environment,
   never against the live system.

/pr <ticket>
   Creates the pull request.
   Only the human merges.
For Decision-Makers

Two Workshops for Decision-Makers

Do you want to know what AI can realistically deliver for your company? Or work with AI yourself? Each is its own workshop, individually prepared for your situation.

AI strategy: what is a dream, what is feasible?

1

Pre-Consultation

30 to 60 min, free of charge

  • Your tech stack & team
  • Industry & requirements
  • Goals & open questions
  • Current state of AI adoption
2

Management Briefing

90 Minutes · €500

  • Assessment: where does your team stand today?
  • What's realistically possible with AI — and what isn't
  • The three most common mistakes in AI adoption
  • Concrete next steps for your company
EMPFOHLEN
3

Strategy Workshop

180 Minutes · €990

  • Everything from the Management Briefing
  • Live demos with your stack
  • Joint tool recommendation and cost planning
  • Your 30-day roadmap: who does what by when
Second workshop

AI in the CEO's Daily Work

The training for your own work rather than your team's: using AI for strategy work, from pricing to marketing strategy, and organising your daily work with it. With the tool that fits your environment: Claude, ChatGPT or Microsoft 365 Copilot. This is exactly the format Odysys booked.

The Combo Package for Your Company

Strategy workshop and developer course on three consecutive days. Coordinated, one trainer, one trip.

Day 1: Strategy Workshop with Management (180 Min)
Days 2–3: Developer Course for the Team (8 Blocks)

€990 → €750 for the workshop when booked as a combo (approx. 25% saved)

Enquire About Combo Package →
After the Course

AI Changes Every 3 Months.Your Knowledge Should Keep Up.

The course brings your team up to speed. The AI sparring ensures they stay there. New tools, new workflows, new risks — before your team has to figure them out on their own.

AI Sparring Quarterly

€750 / Quarter
Cancellable quarterly

Quarterly 90-min video call with me

Briefing: what has changed since last quarter?

Evaluate new tools: is switching worth it?

Answer your team's questions on the call

AI sparring is only available in combination with a course or workshop. This ensures the foundation is solid.

FAQ

Frequently Asked Questions

Who is the AI training for? +

For development teams that already use AI tools like Copilot, Claude Code or Codex but see little productivity gain day to day. There are also two workshops for management and team leads.

Which AI tool should we use? +

We settle that in the training with a live comparison in a real project. But more important than the tool choice is the process: teams that have built up context, skills and workflows properly can switch tools later without starting over.

Is the training remote or in person? +

Remote or in person in Bad Breisig, Germany.

What formats and durations are available? +

The developer course as a two-day intensive, a compact one-day workshop, or a half-day kickstart. For decision-makers there are two workshops: AI strategy for the company and AI in the CEO's daily work, 180 minutes each. The formats can be combined.

What does the training cost? +

The developer course is billed per participant (from €100 per person for the half day up to €380 for the two-day training) with a minimum of 10 participants. The decision-maker workshops are a flat €500 to €990.

Which AI tools are covered? +

GitHub Copilot, Claude Code and OpenAI Codex, plus instruction files like CLAUDE.md, skills, slash commands, agents, hooks and MCP servers. All tailored to your stack, whether your team works with GitHub or Azure DevOps.

Is it slide theory or real hands-on? +

Continuous live coding on real projects, no slide decks. By the end, every participant has a ready-to-use AI setup on their own machine.

We already have Copilot – is a training even worth it? +

Yes. Without project-specific instructions, skills and an agreed process, most teams use only a fraction of the potential. That's exactly where the training comes in: it turns individual tool users into a team with a shared AI workflow.

What about colleagues who reject AI? +

Scepticism is normal and often justified, many objections about quality and loss of control are real. That's why the training doesn't work with claims but on your team's actual stack: everyone sees live what works and what doesn't. And because the shared process defines where the AI works and where the human decides, even the biggest sceptic has a clear role. I know from my own company: a demo convinces nobody, working together does.

Do junior developers still learn anything if the AI writes the code? +

The concern is justified if AI code is adopted unchecked. In a proper process, however, understanding is not an optional step: whoever approves code must be able to explain it, reviews remain human work, and the quality gates apply to juniors and seniors alike. If training young developers matters in your company, we discuss it in the pre-consultation.

Aren't Udemy courses or YouTube videos enough? +

For a first taste, videos are perfectly fine. But they are generic, go stale within months when it comes to AI tools, and can't answer questions about your stack. In the training we work on your real projects, and the result is a shared process for the whole team instead of individual half-knowledge.

What makes this different from an off-the-shelf training? +

There is no fixed programme forced onto every team. Before the training we talk about your stack, projects and goals, the examples come from your world, and on day 2 we build the development process for your team instead of a model solution. That's why my capacity is limited: every training is prepared individually.

How does booking work? +

You send an enquiry, we clarify your needs in a free initial call, and you receive a custom offer. If the course isn't the right fit for your situation, I'll tell you openly.

Next Step

I only accept enquiriesthat I can serve well.

Every workshop and every course is individually prepared. That's why my capacity is limited.

1

Submit Your Enquiry

Tell me about your team, tech stack, and your goals.

2

Free Consultation

30 min: I listen, ask questions, and honestly tell you whether and how I can help.

3

Custom Proposal

Tailored to your situation. Within 48 hours.

By submitting this form you accept the privacy policy.

My promise: If I realise during the consultation that my course isn’t the right fit for your situation, I’ll tell you openly. And recommend a better alternative.

AI training for your team
Enquire Now →

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