LLM Workshop – Understanding and Using Large Language Models

Description

• Course ID:
  • IC-805-E-03
• Content: This practice-oriented workshop provides a deep understanding of the functionality, use cases, and limitations of Large Language Models (LLMs) such as ChatGPT-like systems. The focus is on both the technical foundations and the practical application of LLMs in a business environment.
  • Key Topics:
    • Fundamentals of modern Large Language Models (Transformer architecture – explained conceptually)
    • How LLMs are trained (pretraining, fine-tuning, alignment – presented in an accessible way)
    • Strengths, weaknesses, and common sources of error (hallucinations, bias, context limitations)
    • Prompt engineering: creating structured and reproducible inputs
    • Applying LLMs in business processes
    • Introduction to Retrieval-Augmented Generation (RAG) at a conceptual level
    • Tool integration and basic automation with LLMs
    • Security and data protection considerations when using LLMs
    • Reliability limitations and methods for quality assurance
    • Practical examples from documentation, analysis, communication, and knowledge management
  • Practical Components:
    • Hands-on exercises with LLMs (structured prompting, analysis tasks, text automation)
    • Development of simple LLM-based workflows
    • Mini demo: building a basic Q&A system with a knowledge base (conceptual or low-code approach)
• Prerequisites:
  • Recommended:
    • IC-805-G-01 – Understanding and Safely Applying AI
    • Or equivalent basic knowledge of AI tools
  • No programming experience is required, although it is beneficial for more advanced practical exercises.
• Certification Requirement:
  • Without certification option
• Conduction Method:
  • Online (For on-site or in-house training, please send us a request via our contact form (Contact - intellcert). We will get in touch with you shortly thereafter.)
• Language:
  • English
• Target  Audience:
  • Professionals and project team members interested in AI applications
  • Product managers and business analysts
  • Developers seeking an introduction to AI/LLMs
  • Innovation and digital transformation managers
  • Technically minded executives and managers
  • Participants of IC-805-G-01 or IC-805-G-02 who wish to deepen their knowledge
• Learning Objectives:
  • Participants will be able to:
    • Explain the fundamental principles of how Large Language Models work
    • Identify typical business use cases for LLMs
    • Create effective and reproducible prompts
    • Recognize and account for risks and limitations of LLMs (e.g., hallucinations)
    • Integrate LLMs effectively into business processes
    • Understand the conceptual architecture of RAG systems
    • Assess security and data protection requirements when using LLMs
• Note:
  • Displayed price excl. VAT