AI agents and retrieval-augmented generation

Design AI systems that use company knowledge reliably

Learn how modern AI assistants connect to documents and knowledge sources, and how controlled agent workflows support real processes.

A clear course, planned for practical progress.

Four-week AZAV-approved course · potentially funded up to 100% · RAG, agents and company knowledge

Duration
4 weeks
Format
Intensive live online course with practical project work
Audience
Specialists, project managers, process owners and IT-adjacent roles
Prior knowledge
AI basics are helpful; no programming required
Certificate
Certificate of participation / provider certificate
Funding
Up to 100% through an education voucher may be possible

Why learn about agents and RAG?

General chat systems do not automatically know current internal policies, products or documents. RAG systems retrieve relevant sources before generating an answer.

Four-week curriculum

Architecture, knowledge and controlled automation

The content stays deliberately focused: understand, apply, review and transfer.

  1. 01

    Module 1: Modern language models and assistants

    Understand model capabilities, context, prompting, tool use and common reliability limits.

  2. 02

    Module 2: Documents and knowledge preparation

    Structure source content, metadata, ownership, update cycles and access requirements.

  3. 03

    Module 3: RAG architecture and retrieval

    Understand embeddings, chunking, search, ranking, citations and answer generation.

  4. 04

    Module 4: Evaluation and quality assurance

    Create representative test questions and assess retrieval quality, grounding and answer usefulness.

  5. 05

    Module 5: AI agents and tool-enabled workflows

    Model tasks, tools, permissions, checkpoints, failure modes and human approval steps.

  6. 06

    Module 6: Security, governance and operations

    Plan logging, access control, data protection, monitoring, updates and accountable ownership.

Who is the course for?

For roles that plan, coordinate or evaluate knowledge-based AI systems and workflows.

  • Project and process managers
  • Knowledge management and documentation roles
  • IT coordinators and solution owners
  • Operations and service specialists

Your capabilities after four weeks

  • Explain RAG and agent architectures clearly
  • Assess source content and knowledge readiness
  • Plan retrieval and evaluation approaches
  • Model controlled tool-enabled workflows

Typical use cases

Internal assistants for policies and process knowledge

Document analysis with traceable source references

Support and service assistants

Controlled preparation of offers or technical answers

Knowledge search across structured and unstructured sources

Your practical implementation concept

You design a realistic RAG or agent use case including source systems, user groups, access rules, quality tests and operational responsibilities.

Funding through an education voucher

This course is AZAV-approved and may be funded up to 100% through an education voucher from the Federal Employment Agency or Jobcenter if you meet the individual requirements.

Read the funding notice

If you meet the individual requirements, participation may be funded up to 100% through an education voucher from the Federal Employment Agency or Jobcenter. The responsible authority decides eligibility individually. Depending on the situation, employed participants may also qualify for employer-based funding.

Interested in funded AI training?

Register your interest without obligation. We will contact you personally to discuss the course and possible funding.

Key questions answered.

What does AZAV mean?+

AZAV is the German accreditation framework for employment support. An AZAV-approved course may be funded through an education voucher when the individual requirements are met. The responsible authority decides whether funding is available.

Do I need to be a developer?+

No. The course teaches architecture and practical decision-making. Technical concepts are explained without requiring programming.

What is the difference between RAG and an AI agent?+

RAG retrieves relevant source material for an answer. An agent can coordinate tools and multiple steps. They can be combined but require different controls.

Does the course cover security and permissions?+

Yes. Access control, sensitive content, logging, approval and operational ownership are core topics.

Can the course be funded?+

Up to 100% funding may be possible if the responsible authority confirms individual eligibility.

More AZAV-approved courses

Explore three additional AI courses that may fit the next step in your professional development.

Plan knowledge-based AI systems with control and clarity

Register your interest in the four-week AI Agents and RAG course. We will discuss your goals and possible funding with you.

Register interest