Artificial intelligence
Digital transformation has hardly captured a sector as profound as education and research. In this era of change, artificial intelligence (AI) develops from a futuristic concept to an indispensable tool that ...
250+ projects · 5.0 on Google · 100% in Germany
AI training with exercises, playbooks and measurable skill lift
For mid-sized companies: hands-on prompting, tooling and risk literacy—no generic slide decks – delivery and project ownership from Germany (Leer/East Frisia), named contacts, no offshore guesswork.
- 250+ delivered projects
- 5.0 stars on Google
- 100% engineering in Germany
We prepare your team with hands-on AI training: ChatGPT, Microsoft Copilot and prompt engineering—with clear guardrails and your real tasks. Measurable practice—not passive slides.
AI training: expert view and programme flow
„Training only sticks when people practise on real tasks and get clear guardrails for tools, data and accountability—otherwise AI stays a playground.“
Björn GroenewoldManaging Director, Groenewold IT Solutions
Practical AI Training for Business Professionals
Artificial Intelligence is transforming how we work, but many organizations struggle to move beyond the hype and achieve real productivity gains. The key is not just having access to AI tools – it is knowing how to use them effectively. Our AI training programs bridge this gap by teaching practical skills that your team can immediately apply to their daily work.
At Groenewold IT Solutions, we have been implementing AI solutions and training teams since the earliest days of modern AI assistants. Our trainers combine deep technical understanding with practical business experience, ensuring that our workshops are relevant for real-world applications – not just impressive demos. We focus on tools that are available today and provide immediate value, such as ChatGPT, Microsoft Copilot, and specialized AI tools for software development, content creation, and data analysis.
Our training programs are tailored to your specific needs. For executives, we focus on AI strategy and understanding where AI can and cannot add value. For knowledge workers, we teach prompt engineering and effective AI collaboration techniques. For developers, we cover AI-assisted coding, code review, and testing. All programs include hands-on exercises using real business scenarios relevant to your industry.
Beyond tool usage, we also address important topics like AI ethics, data privacy considerations, and the limitations of current AI systems. Participants learn to recognize when AI outputs need verification, how to avoid common pitfalls, and how to maintain quality standards while leveraging AI for productivity gains. Our goal is not just to make your team faster, but to make them more effective and confident AI users.
„AI training only works when leadership and IT share rules for data and tools. Otherwise everyone improvises—and operations lacks approvals.“
Björn GroenewoldManaging Director, Groenewold IT Solutions
Our Training Programs
ChatGPT & Copilot Workshops
Practical training for AI assistants.
- Hands-on Exercises
- Use Case Development
Prompt Engineering Training
Learn to write effective prompts.
- Best Practices
- Advanced Techniques
AI Strategy for Executives
Strategic AI planning for leadership.
- AI Roadmap Development
- ROI Assessment
„Microsoft Copilot training must match your real tenant and licences. Otherwise teams practise features admins will never enable.“
Björn GroenewoldManaging Director, Groenewold IT Solutions
Have Questions?
We are happy to advise you on our AI training programs. Contact us for a non-binding initial consultation.
Frequently Asked Questions
AI Training
ChatGPT, Copilot, prompt engineering and compliance
What distinguishes professional ChatGPT training from YouTube tutorials and free courses?
Corporate ChatGPT training ties usage to your policies, data classes and approvals—not generic examples alone. We practise with texts, tables and research from your day-to-day. Up front we clarify which content may go into which model. We set review duties. That yields repeatable quality instead of luck. Many programmes bundle this as AI training: repetition, metrics and roles—not passive watching.
We discuss when internal assistants or APIs beat chat alone. We do not overload your team with tech detail.
How does Microsoft Copilot training run when Microsoft 365 licences are mixed in the company?
Microsoft Copilot training starts with inventory: plans, add-ons and binding security and retention rules. Then we build practice paths for Word, Excel, Outlook and Teams that match your tenant setup. No demo shows features that will stay disabled. We tie training to document approvals. We show where permissions draw boundaries. A structured prompt engineering course complements Copilot.
Good source text and clear goals drive quality. After training: short guides for helpdesk and business units. Insights stick in daily work.
Is a separate prompt engineering course worth it if my team already "writes well"?
Prompt engineering is less creative prose than clear control: structure, examples, output formats and quality checks. You need clear roles: who prompts and who approves. A prompt engineering course gets everyone around one table. It builds a small prompt library in your terms. Reviews surface wrong answers before they go external. English guides often say only prompt engineering.
The point is stability, traceability and measurable quality—not long sentences. AI training becomes operational: Copilot and ChatGPT share rules instead of per-tool tricks.
How many participants make sense, and how do you prove AI training and prompt engineering success in numbers?
For interactive AI training we usually recommend 8–15 people per run. Exercises, questions and peer review work at that size. Larger groups we split or use a second trainer—no question bottleneck. We measure AI training with before-and-after metrics you agree on: cases per hour, rework time or approvals without revision—matched to the use case.
We also score prompt engineering via review findings and a short rubric for templates. Budget stays traceable; follow-on formats plannable. We document outcomes briefly for leadership and IT.
Which privacy and compliance topics must be fixed in ChatGPT training and Microsoft Copilot training?
Without rules on personal data, know-how and processing agreements, ChatGPT and Microsoft Copilot training becomes a risk instead of efficiency. We anchor GDPR core questions, document classes and logging where needed. We clarify EU AI Act roles pragmatically at the whiteboard—not a law lecture, but clear boundaries.
For Copilot we cover tenant settings, data locations and sensitive metadata in Teams and SharePoint. A prompt engineering course shows what prompts leak unintentionally. Only rules plus practice make AI training stick long term. Made in Germany—short paths from East Frisia.
ChatGPT training: data classes, prompts and review duties
What content belongs in ChatGPT—and what does not?
Together we define document classes and approvals before participants practise their first prompts—so sensitive data does not accidentally end up in the wrong model.
Exercises from mail, text and research tasks
Instead of generic examples we work with anonymised templates from sales, HR or service—aligned with leadership and your data protection team.
Post-processing and quality checks
We embed four-eyes principles wherever customer, HR or financial content is produced—so ChatGPT training does not turn into speed without accountability.
Microsoft Copilot training: Word, Excel, Teams and tenant reality
Fit to licences and Copilot mode
The workshop follows your actual configuration—so no exercise showcases features administrators will keep disabled.
Typical work paths in Office and Teams
We practise drafts, table analysis and meeting summaries where your teams already work—including notes on metadata and storage locations.
How this differs from other assistants
Microsoft Copilot training clarifies when cloud offerings are enough and when API or on-prem strategies are needed—without overloading the session with architecture detail.
„Microsoft Copilot training must match real tenant and licensing reality. Otherwise teams practise features that administrators later cannot enable.“
Björn GroenewoldManaging Director, Groenewold IT Solutions
Prompt engineering course: templates, reviews and measurable outputs
Structure instead of overly polite phrasing
Participants learn to break tasks into clear goals, context and format—so models reliably deliver what business units need.
Prompt libraries and ownership
We define who maintains, versions and approves templates—so prompt engineering does not disappear into solitary PDFs.
Quality criteria and tests
Short review checklists help catch hallucinations and formatting issues before send-out—suited to regulated or customer-facing copy.
Making AI training measurable: KPIs, pilot and follow-up
Agree before-and-after metrics
Whether handling time, rework or ticket rate—we pick two or three indicators that fit the task and stay light to capture.
Pilot phase with clear scope
A manageable pilot with exit criteria avoids endless experiments and keeps success or adjustment traceable for management and IT.
Follow-up and office hours
Optional follow-up sessions ensure prompt libraries get used and helpdesk questions do not pile up unanswered.
ChatGPT training and Microsoft Copilot training: shared guardrails
Shared terminology and escalation paths
Whether a browser assistant or Microsoft 365: the same rules on data and approvals reduce confusion and shadow IT.
Sequencing rollouts in midsized companies
Typically we start with clearly scoped tasks in ChatGPT training, then deepen Microsoft Copilot training where teams already live in Office—depending on licence maturity.
Documentation for works council and oversight
Short protocols on training goals and usage boundaries support internal communication—without unnecessary bureaucracy.
Prompt engineering course for specialists: APIs, automation and handover
Mapping interfaces and automation at a high level
For IT and project leads we show when prompt templates suffice and when integrations make sense—linking to architecture conversations without forcing depth.
Handover to development and operations
Templates, tests and logging notes are documented so rework does not trip over the same obstacles.
Governance and prompt engineering in daily work
We connect the prompt engineering course with approvals and change management—so specialists do not optimise parallel to the line organisation.
Up to 50% of your investment via BAFA/KfW
Use our funding calculator to see which government grants may apply to your project.
Service cluster
Related services for AI & Machine Learning
Pragmatic AI use cases with governance and MLOps – for measurable value instead of prototypes without impact.
Related topics
Complementary services from other areas
These services are frequently requested together with AI Training or complement it thematically.
Consulting & Strategy
