Artificial Intelligence for Everyday Work in IT and Business (AIIT)

AI - Artificial Intelligence, AI for Business

This course gives IT professionals a practical introduction to AI/ML basics, large language models (LLMs) and prompt engineering, focusing on real-world use cases. You will learn core concepts, available platforms and how to apply AI in daily IT and business tasks.

The course covers practical deployment: platforms and integration (ChatGPT, Copilot, Gemini, SAP, Power BI, Azure), automation and data analysis and security and governance topics like EU AI Act and bias. Includes hands-on workshops with real scenarios.

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The course:

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  • Cloud and AI basics
    1. AI, ML, NLP and generative models explained simply
    2. How large language models work (ChatGPT, Copilot, Gemini)
    3. AI by the numbers: current state, benefits and limits
    4. Cloud computing in the Azure context and AI service integration
  • Prompt Engineering in practice
    1. How to write effective prompts for different tasks
    2. Structuring queries and the role of system prompts
    3. Examples: text generation, SQL queries, documentation, testing
  • AI tools for everyday work
    1. Content generation (text, presentations, images)
    2. Data analysis with AI (Excel / Power BI + Copilot)
    3. Overview of other AI tools for office and technical use
  • Workshop 1: Practical work with ChatGPT / Copilot
    1. Participants solve scenarios: documentation, SQL, model design, presentations
  • AI in business processes
    1. Case studies: automation, prediction, optimization
    2. Integration examples: SAP Business AI, Power BI, ServiceNow, Azure AI
    3. Connecting offline models to internal databases and applications
    4. Practical IT admin requirements: infrastructure, APIs, monitoring
  • AI strategy and collaboration
    1. AI in digital transformation
    2. Designing cross-team AI use-cases (SAP, EDI, BI)
    3. Design thinking and agile approaches for AI projects
    4. Lessons learned: what works and what doesn't
  • AI and security
    1. Enterprise AI risks (data leaks, hallucinations, cloud dependency)
    2. On-prem and isolated solutions, security integrations (SIEM, DLP)
    3. AI and cybersecurity scenarios
  • AI Governance & Responsible AI
    1. Frameworks overview: EU AI Act, SAP AI Ethics
    2. Risk assessment and bias in models
    3. Documentation, audit and ethical AI use
  • Workshop 2: AI integration and security
    1. Design a simple AI use-case for an internal application
    2. Risk analysis and security measures
Assumed knowledge:
Basic familiarity with IT systems (files, databases, cloud or on-premise).
Schedule:
2 days (9:00 AM - 5:00 PM )
Course price:
392.00 € ( 474.32 € incl. 21% VAT)
Language: