Generative AI: Unlocking Enterprise Value

Turn Generative Ai Into Practical Business Action

Start date
Duration
Language
Format
Tuition Fees
February 15th, 2027
4 weeks
English
Online
€2,950

Program content

In this four-week Generative AI program, you’ll learn to apply AI to concrete business tasks while keeping people responsible for decisions and quality. You’ll assess your organization’s readiness, select appropriate tools, review AI-assisted work, and test a supervised AI agent with clear permissions and human approval points.

The program combines approximately 40% flexible, self-paced online learning with 60% live, interactive sessions. Through discussions with instructors, industry experts, and peers, alongside practical assignments, you’ll apply what you learn to a real business challenge. By the end, you’ll have a use-case brief, a verified work sample with a reusable review checklist, and a company pilot proposal with measurable criteria for deciding whether to proceed, revise, or stop.

Want to know more?

  • Get familiar with the program structure, learning objectives, and practical assignments.

  • Explore how generative AI differs from earlier technologies, including language models and multimodal outputs.

    Examine eight common reasons AI projects fail.

    Assess your organization’s readiness for generative AI.

    Develop a one-page use-case brief identifying the task, data source, owner, and decisions requiring human judgment.

  • Examine how AI changes leadership and the human skills needed to work with it.

    Select tools based on business value versus effort.

    Apply ethical checks covering trust, bias, ownership, and reliability.

    Review and correct a flawed company update, then adapt it for a specific audience.

  • Assess industry and departmental AI readiness

    Identify quick wins with appropriate risk controls

    Design a guard railed pilot with clear KPIs

    Navigate technical, human, and business risks

  • Understand how AI agents differ from chat assistants and fixed workflows.

    Define goals, sources, permissions, human approval points, and stop conditions.

    Test a supervised agent with complete, missing, and conflicting inputs.

    Develop a company pilot proposal with measurable criteria to decide whether to proceed, revise, or stop.

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