ArdevantDiscuss your project

Private training / Courses for teams

Private enterprise AI training for your team.

Bring one of Ardevant's practical enterprise AI architecture courses to your team. Anton can teach at your location or remotely, with the emphasis agreed around your team's goals.

On-site or remoteSwitzerland and nearby countries
Discuss a private course

01 / When this fits

A shared architecture language for your team

Private training gives colleagues practical exercises, a common decision-making method, and space to discuss the architecture questions that matter to them.

Enterprise AI Architecture

Move from experiments toward secure, governed, operable AI systems with explicit architecture decisions and ownership.

Agentic AI Architecture & Security

Design bounded agents, tool use, identity, permissions, memory, human control, and observable failure handling.

Custom architecture working session

Apply the same method to one agreed architecture question, decision, or roadmap without turning the session into an implementation project.

02 / How it works

At your location, with a scope that fits the team

Choose the Enterprise AI Architecture Bootcamp, Agentic AI Architecture & Security, or discuss a focused architecture working session. On-site delivery is the primary format, with remote delivery available when it suits the team better.

The initial focus is Switzerland, and requests from Germany and neighbouring countries are welcome. Participants, language, timing, location and fee are made clear in a written proposal.

Three simple steps

  1. Share the team objective

    Tell Anton what the team should learn or decide, where you are based, and your broad timing.

  2. Find the right format

    Discuss the course, emphasis and delivery format in a short conversation.

  3. Agree before you commit

    Review a written proposal with the scope, timing and fee before you decide.

03 / Start a conversation

Discuss a private course

Share the team objective, preferred location, and broad timing. A short non-confidential first message is enough.

What happens next

Your message goes directly to Anton. If there is a fit, you can agree a conversation and a written proposal. No commitment is made by sending an enquiry.

Prefer a call? +41 78 300 91 52

Your company or independent practice.

For example: Zürich office, Munich office, or remote.

A few sentences about the team, learning goals and any preferred course. At least 20 characters.

Add role or timing (optional)

A broad window is enough.

Keep this first message non-confidential. Please do not send credentials, personal datasets, payment details, source code or sensitive architecture material.

This enquiry does not create a booking or commit you to any work or payment.

04 / Explore the approach

Start with the architecture question

A closer look at the decisions behind practical agentic AI architecture.