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AI training in the canton of Valais

In Valais, a bilingual canton with scattered sites, AI training focuses on handovers between teams: drafting instructions from anonymised information, checking French and German versions, then identifying what requires human approval.

Start with real work and a local context

The situation described here is a learning example, not an account of completed work. Before the session, SHR selects a representative task with you — a note, an instruction, a summary or a reply — and sets the criteria by which the result will be judged.

In Valais, an exercise can focus on a handover between sites: draft instructions from anonymised information, check French and German versions and identify what requires human approval before distribution.

Which AI training path fits your needs?

AI on the Job — Valais
Identify a real task, write an instruction and compare the output with reference work.
Managing in the AI Era — Valais
Decide what can be assisted, who checks quality and when an error must be escalated.
Leading AI Adoption in Teams — Valais
Select a pilot use case, define evaluation criteria and organise team feedback.
Building No-Code AI Assistants and Agents — Valais
Scope an assistant, restrict its sources and permissions and test its behaviour before deployment.

Claude AI training in the canton of Valais

For Claude AI training in the canton of Valais, Claude, Anthropic’s assistant, can support a workshop when your organisation permits its use. The aim is not brand promotion: participants learn to scope a task, supply sufficient context and examine the result. Tool selection and features are confirmed during scoping according to available access.

In practice, a workshop with Claude can mean submitting a fictional dossier and requiring a sourced summary: every assertion must be traceable to the supplied documents. A quick prompt is then compared with one that specifies reader, limits and expected form, and only what is accurate is kept.

Write and refine an instruction for a workplace task.
Analyse an authorised document and verify the passages used in the answer.
Compare responses, detect omissions and correct unsupported claims.
Define human approval before reusing an output at work.

Claude is an Anthropic trademark. This page claims neither an Anthropic partnership nor an official Claude certification. No Claude subscription is advertised as included.

A learning process built around verification

Choose a real task and describe, before the exercise, what a good answer is expected to look like.
Produce a first version with the tool, on fictional data, and keep it.
Compare the result with reference documents and note gaps, omissions and additions.
Decide together what may enter daily practice and what stays restricted.

Data, errors and human supervision

Scoping sets three limits: which data may be used, which sources are authoritative, and who approves the result. Workshops handle only fictional or anonymised data. A well-written answer can be wrong; a mock-up is not a production service.

Prepare your AI training

Specify the roles involved, participants’ experience, permitted tools and a representative task. Do not send confidential documents with your enquiry. Delivery arrangements, working language and venue are agreed with SHR; a service city is not an SHR office.