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AI in Business · Advanced level

Developing RAG Agents Using Large Language Models

A technical training on building retrieval-augmented generation solutions that connect large language models to an organization’s reliable knowledge.

Duration8 hours / 1 day
FormatTechnical lecture, live build demonstration, and a guided prototype-development exercise.
LevelAdvanced

A technical training on building retrieval-augmented generation solutions that connect large language models to an organization’s reliable knowledge.

This training closes the gap between a general understanding of the topic and its practical application. Through examples, discussion, or a guided exercise, participants define a realistic next step for their organization.

What participants will gain

Design a RAG workflow.
prepare and index source content.
test the quality of responses.
address risks of security, privacy, and hallucination.
  • RAG system architecture and source preparation
  • Knowledge retrieval and connecting to a large language model
  • Quality testing, privacy, security, and hallucinations

The final program and schedule are adapted to the selected group.

Target group: Developers, data teams, IT specialists, and technically capable SMEs or public organizations.

Prerequisites: Basic knowledge of Python, APIs, and data processing is recommended.

Service value per participant
500 EUR
Fee for eligible participants
0 EUR
100% subsidized

This training is available in our portfolio. There is currently no open enrollment period.

Access to the service

Open call, program calendar, partner referral, or continued support following a DMA assessment.