Skip to content
AI Training

AI Training for Companies

We turn experience from AI projects into practical working methods for your teams. Training takes place inhouse and reflects the tasks, tools and policies of your company.

AI training at rwQUANTICAL: office with moss wall in Duesseldorf

Companies that work with us

Volkswagen
ARAG
Linde
STRABAG
Schaeffler
TOSHIBA
Air Liquide
Olympus
Vorwerk
MEWA
Geno Broker
Mitsui Chemicals
AirPlus
Walbusch
AVIA
REICO
Otto Krahn

Our trainings

Three formats for different tasks.

Business functions need a safe entry point. Development teams need different tools and standards. We select the format based on the audience and its working context.

01

AI Enablement

Foundations of AI use in daily work

Employees learn where generative AI is useful, how to structure effective prompts and how to review results. ChatGPT, Copilot and similar tools are assessed using typical tasks from the business function.

Duration
0.5 to 1 day
Group size
5 to 50 participants

After the training

Your team can identify suitable tasks, review AI output critically and apply shared rules for day-to-day use.

02

Token Awareness

Understanding context and costs

The training explains tokens, context windows and model selection through concrete applications. Participants see what information a model needs and where unnecessary context weakens quality and increases cost.

Duration
0.5 to 1 day
Group size
5 to 50 participants

After the training

Teams work with clear context and reusable templates. Consumption, response quality and model selection become easier to assess.

03

AI-based Coding

AI-assisted software development in teams

Developers work with Cursor, GitHub Copilot or Claude Code on their own machines. The focus is a reliable coding workflow, reviews of generated code and integration into existing development processes.

Duration
1 to 2 days
Group size
1 to 20 participants

After the training

The team uses AI tools with a shared approach and can assess generated code for function, quality and security.

On-site · Hands-on

Go to AI coding training
EU AI Act

Translate Article 4 AI literacy into day-to-day work

Article 4 requires providers and deployers of AI systems to take measures that support the development of AI literacy among their staff. Prior knowledge, use context and affected persons determine which content is appropriate.

Our AI Enablement covers safe use, output review, data protection and internal policies. We adapt the content to participant roles and document attendance. Article 4 does not prescribe a specific certificate.

AI training at rwQUANTICAL: consultants working together at a screen
Your trainers

Trainers who deliver AI projects themselves

Our trainers work in AI consulting and AI engineering. They know the questions that arise between use-case selection, data protection, integration and production operation.

Dr. Yannic Ackermann - AI Engineer, rwQUANTICAL

Dr. Yannic Ackermann

AI Engineer

Dr. Tobias Hustedt - AI Engineer, rwQUANTICAL

Dr. Tobias Hustedt

AI Engineer

Konrad Brixius - AI Engineer, rwQUANTICAL

Konrad Brixius

AI Engineer

Dr. Jonas Jasse - AI Engineer, rwQUANTICAL

Dr. Jonas Jasse

AI Engineer

Why rwQUANTICAL

Training grounded in current project work.

Effective AI training has to fit the working context. Our consultants connect methodological foundations with the decisions that arise in real AI projects.

01

Boutique consultancy from Duesseldorf

The same team designs and delivers the training. You speak directly with the consultants who prepare the content and work with your participants.

02

Trainers deliver AI initiatives

Our experts support AI initiatives from process assessment to custom development. This experience shapes the exercises, examples and recommendations.

03

Experience across business functions

We work with mid-sized companies and enterprises across industries. The key factor is often the process in finance, procurement, sales, IT or customer service.

04

Suitable for different levels of experience

Knowledge is rarely distributed evenly across a team. We plan pace, exercises and technical depth so beginners can contribute and experienced users still progress.

Conference at the rwQUANTICAL office in Medienhafen
Team meeting at rwQUANTICAL
rwQUANTICAL office at Kaistrasse in Duesseldorf
Conference table at the rwQUANTICAL office
From projects. For day-to-day work.

Our approach

How we build your AI training.

A proven curriculum provides the structure. We adapt examples, exercises and priorities to the roles and tasks of the participants.

  1. Clarify audience and use context

    We clarify prior knowledge, tools, internal policies and the tasks where AI is already used or expected to help.

  2. Adapt content to the business function

    We select suitable examples and exercises. Sales, finance, procurement and development work with different cases.

  3. Delivery

    Training takes place at your office or in a hybrid format. Coding training is delivered as a working session on participants' own machines.

  4. Transfer into day-to-day work

    Participants receive the templates they developed and clear next steps. We can address questions from practical use in a follow-up session.

Frequently asked questions

AI training FAQ

What does AI training for companies cost?

Costs depend on duration, group size and the degree of customization. A half-day AI Enablement for one department costs less than a two-day hands-on workshop for developers. In a free initial consultation we quote a concrete price for your format.

Who is AI training suitable for?

Any team that works with AI tools or is about to. AI Enablement addresses departments without prior knowledge, Token Awareness targets teams that want to cut their AI costs, AI-based Coding is for developer teams. For executives we adapt the format.

Does the AI training take place at our company?

Yes. We train inhouse at your office or hybrid. There is a reason for that: the training works with examples from your department, and discussions stay internal. We deliberately do not offer open seminars with mixed audiences.

Does the training meet EU AI Act requirements?

Article 4 requires measures that support the development of AI literacy among people working with AI systems on behalf of a company. Our AI Enablement can be a central part of those measures. We adapt content to roles, prior knowledge and use context and document attendance. Article 4 does not prescribe a specific certificate or a uniform level of competence.

How many people can participate?

AI Enablement and Token Awareness work well with 5 to 50 participants. For the hands-on coding training we cap groups at 20 people so everyone works at their own machine and questions get answered.

How is your AI training different from a seminar portal?

The training is designed by consultants and engineers who deliver AI projects themselves. Examples and exercises come from the participants' working context. After the session, we can address open questions, add follow-up modules or jointly develop concrete use cases.

What AI skills does your team need?

In the initial conversation, we clarify audience, working context and the desired outcome. You then receive a concrete proposal for format and content.