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LLM in Practice for Teams

From idea to production workflow: design, integrate and govern LLM assistants for your product and ops teams.

2 days · product/ops teams

All training Foundation course
Duration
2 days
Audience
Product / ops teams
Price
CHF 2,400/person
Format
Lectures + labs

Who it's for

  • Product teams integrating AI into their tools
  • Ops and IT teams orchestrating business workflows
  • Product managers evaluating LLM feature feasibility
  • Developers, data analysts, ops engineers

Learning objectives

  1. Design a business assistant: scope, system prompt, guardrails
  2. Integrate an LLM via API (OpenAI, Claude, Mistral)
  3. Build a simple RAG baseline with Dify or n8n
  4. Apply nFADP rules and data security practices
  5. Monitor costs and govern usage across the team

Prerequisites

Comfortable with a browser and online tools, able to read JSON. Some code (Python or JavaScript) helps but is not required.

Teaching format

Technical lectures and guided labs (API calls, simple RAG setup with Dify or n8n). You leave with running code.

Workload
Format Duration
Lectures 8×45 min
Hands-on labs 8×45 min
Discussion / Q&A 2×45 min

Course content

  1. Day 1 — Foundations & API

    Assistant architecture, system prompts, API calls, error handling, first lab.

  2. Day 1 — RAG with Dify / n8n

    Document indexing, vector stores, retrieval, context assembly.

  3. Day 2 — Security & nFADP

    Data transit, PII redaction, region choice, Swiss providers.

  4. Day 2 — Monitoring & governance

    Quotas, logs, quality evaluation, internal usage playbook.

Indicative schedule

Day 1

Foundations and API: assistant design, OpenAI/Claude calls, error handling, first lab (simple chatbot).

Day 2

RAG, nFADP security and governance: RAG lab with Dify/n8n, PII redaction, cost monitoring, team playbook.

Instructors

Pricing & logistics

  • CHF 2,400/person
  • In-company, team package on request
  • Language: English or French
  • Location: on-site client or remote

Organize this training

We plug the labs into a real use case from your team. You leave with a reusable building block.

Organize this training

Request this training — LLMs in practice for teams

Tell us what your team needs. Reply within 24h.

Format