Intermediatecourse · Free

KI bei der Arbeit

Bewerten Sie Anwendungsfälle am Arbeitsplatz, führen Sie sichere Pilotprojekte durch, messen Sie den Wert und kommunizieren Sie Änderungen verantwortungsbewusst.

4Modules
9Leitfäden
~6hTo complete

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Outcomes

What you will be able to do

  • Select use cases using value, feasibility, and risk.
  • Run a bounded pilot with measurable success criteria.
  • Plan adoption without hiding workforce or governance impacts.

Recommended first: Verantwortlicher KI-Benutzer

Curriculum

Course modules

  1. Use-case selection

    Outcome: Prioritize tasks where AI can create measurable value.

    Practice: Score three candidate use cases on value, feasibility, reversibility, and risk.

    Tool selection and comparisonAI-assisted workflow design
    KI-Workflow-Automatisierung KI-Codierungstools

  2. Pilots and experiments

    Outcome: Design a comparison that can reveal whether AI actually helps.

    Practice: Write a pilot plan with baseline, treatment, metrics, stop conditions, and review owner.

    Experiment and pilot designSuccess metrics and monitoringModel cost and operational tradeoffs
    KI-Benchmarks KI-Workflow-Automatisierung

  3. People and jobs

    Outcome: Assess task changes without reducing workers to job titles.

    Practice: Create a task-level impact map and reskilling plan.

    Workforce and job impactsAI career readinessStakeholder communication
    KI & Jobs Zukunft der KI

  4. Operational governance

    Outcome: Assign ownership for approvals, monitoring, and incidents.

    Practice: Build a lightweight responsibility matrix for one deployed workflow.

    Governance and accountabilityAI incident responsePrivacy and data handling
    KI-Governance KI-Sicherheit KI und Datenschutz

Applied capstone

AI pilot proposal

Produce a decision-ready pilot proposal for a real organization.

  • Use-case scorecard
  • Baseline and success metrics
  • Risk controls
  • Adoption and review plan