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Machine Learning & Data Analytics / Generative AI
The illustrations were created in cooperation between humans and artificial intelligence. They show a future in which technology is omnipresent, but people remain at the center.
AI-generated illustration

Langdock Practical Workshop – Introducing Secure Enterprise AI

Implementing internal AI assistants, RAG, and governance in a practical manner

Online
0.5 days
German
Download PDF
€ 390,-
plus VAT.
$514.10
incl. VAT.
Booking number
42659
Venue
Online
4 dates
€ 390,-
plus VAT.
$514.10
incl. VAT.
Booking number
42659
Venue
Online
4 dates
Become a certified
Machine Learning Engineer
This course is part of the certified Master Class "Machine Learning Engineer". If you book the entire Master Class, you save over 15 percent compared to booking this individual module.
To the Master Class
In-house training
In-house training just for your employees - exclusive and effective.
Inquiries
In cooperation with
In cooperation with
ITech Progress
In this compact, hands-on workshop, you will learn how companies can productively use Langdock as a secure, GDPR-compliant AI platform. The focus is on building internal AI assistants, knowledge search with Retrieval Augmented Generation (RAG), and typical enterprise use cases from IT, specialist departments, and support. You will gain a sound basis for deciding when Langdock is more useful than copilot-based approaches and learn how to take governance, security, and scaling into account from the outset. Practical demos, real-world business examples, and ready-to-use templates ensure that you can immediately apply what you have learned in your company.
Contents

1. Fundamentals & Classification

  • How Langdock works as an internal AI platform.
  • Security and compliance architecture (GDPR, governance, data rooms).
  • Decision logic: Langdock vs. Microsoft Copilot architectures.

2. Integration & Implementation

  • Establishment of internal AI assistants and teams.
  • Connect your own documents and knowledge sources via RAG.
  • Monitoring, transparency of use, and control.

3. Enterprise use cases

  • Support assistance and internal knowledge search.
  • Process support and automation.
  • Onboarding, enablement, and change scenarios.

4. Best Practices & Scaling

  • Pilot and rollout blueprint.
  • Role models, ownership, and governance structures.
  • Measuring success, adoption, and further development.
Your benefit
  • You know how to implement Langdock securely and in compliance with GDPR in your company.
  • You can model and implement internal RAG scenarios in a structured manner.
  • You will learn about enterprise use cases that deliver quickly measurable added value.
  • You make informed decisions about when Langdock or Copilot-based approaches are appropriate.
trainer
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Methods

The workshop combines brief theoretical insights with live demonstrations directly in Langdock. Practical examples from real-life business projects and concrete templates ensure a high degree of practical relevance.

Recommended for

This workshop is aimed at:

  • IT managers and IT architects who evaluate and implement enterprise AI platforms.
  • AI project teams and governance and data protection roles responsible for security and scaling.
  • Departments that want to use internal AI assistants productively.
Start dates and details

Form of learning

Learning form

23.6.2026
Online
Places free
Implementation secured
Online
Places free
Implementation secured
23.9.2026
Online
Places free
Implementation secured
Online
Places free
Implementation secured
10.12.2026
Online
Places free
Implementation secured
Online
Places free
Implementation secured
14.4.2027
Online
Places free
Implementation secured
Online
Places free
Implementation secured
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Do you have questions about training?

Call us on +49 761 595 33900 or write to us at service@haufe-akademie.de or use the contact form.

The illustrations were created in cooperation between humans and artificial intelligence. They show a future in which technology is omnipresent, but people remain at the center.
AI-generated illustration