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.

THIS TRAINING COURSE WILL HELP YOU:

  • Understand AI, ML, LLM, NLP and generative AI basics
  • Navigate major AI platforms and tools (ChatGPT, Copilot, Gemini, Azure)
  • Create effective prompts and use LLMs for SQL, docs and analysis
  • Design AI use-cases and integrate AI with apps and databases
  • Learn AI governance, security, bias and compliance basics

WHO SHOULD ATTEND?

  • Consultants and project managers seeking AI use-case ideas
  • Developers and analysts wanting faster workflows with LLMs
  • IT administrators and system managers integrating AI into apps
  • Anyone who needs to understand AI's impact on business processes

COURSE LOCATION AND AVAILABLE DATES



This course is not scheduled as a public course.
It is delivered exclusively as customised training. The content, duration, date, and delivery format are tailored to the customer's requirements and can also be provided in English.

Request customised training

Course content:

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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
Prerequisites:
Basic familiarity with IT systems (files, databases, cloud or on-premise).
Schedule:
2 days (9:00-17:00)

Training and learning environment