intellcert Academy · Artificial Intelligence
Retrieval-Augmented Generation (RAG) & Enterprise AI Systems
Participants will be able to: Explain and apply the architecture of RAG systems Prepare and structure enterprise data for AI applications Utilize semantic search and embedding-based retrieval mechanisms.
Overview
Course contents
Our professional training courses are designed for professionals, specialists, and experts who wish to expand their knowledge in a targeted way.
Hands-on exercises
- Building a simple RAG system using enterprise data
- Implementing a Q&A application based on a knowledge repository
- Analyzing and optimizing an existing RAG workflow
- Evaluating retrieval quality and response quality
Learning objectives
- explain and apply the architecture of RAG systems
- prepare and structure enterprise data for AI applications
- use semantic search and embedding-based retrieval mechanisms
- design and technically evaluate RAG systems
- recognize and reduce typical sources of error (hallucinations, incorrect retrieval)
- assess security and data protection risks in GenAI systems
- implement or evaluate simple enterprise RAG applications
Target audience
- Software developers and AI engineers
- Solution architects and enterprise architects
- Data engineers with an AI focus
- IT project leaders of technical AI projects
- Teams that want to connect LLMs with enterprise data
- Participants from IC-805-E-04
Prerequisites
- Required:
- Recommended:
- Basic understanding of APIs and data structures
- Initial experience with software development or AI tools
- Not suitable for beginners without technical background knowledge.
Required
- IC-805-E-03. LLM Workshop, or
- IC-805-E-04. Developing and Integrating AI Systems
Certification requirement
Without certification option
Delivery format: Online. For on-site or in-house training, please send us a request via our contact form. We will get in touch with you shortly thereafter.
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Flexible scheduling is available for this service. Please contact us to arrange a convenient date.
Related courses
Related courses: Artificial Intelligence
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