Admissions

Participant profile:

The AI master class is designed for senior leaders, c-level executives and board members of listed and large private organizations, as well as senior leaders from government agencies and NGOs who want to prepare their organizations for an AI-driven future.

No prior AI experience or knowledge is required. But if you are entirely new to AI, you might need to invest 10-20 hours of additional guided self-learning during the 2-week online phase. It is suitable for all industries.

No coding experience or knowledge of AI software is necessary to benefit from the program.

Team applications:

We strongly encourage several members attending from the same organization. Team participation allows for the development of a joint approach to your organization’s specific situation and goals. It also enables better communication and application of the learnings after the program as joint mental models and language is developed in the team.
Every third participant from the same company joins for free.
(Applications have to state in the respective fields that they are done as a joint application.)

Admissions Process:

The admissions process ensures all participants are well-suited to profit from the program. It also serves to create the optimal class composition, as classroom interaction is a centerpiece of the learning process.

In select cases, an additional interview via Zoom might be required (the admissions team will contact you via email).

The Admissions Committee will review your application and communicate a decision within five working days.

Upon submitting the application, an application fee of $100 is due (paid via credit card. No information is stored on our servers). The application fee is non-refundable but will be deducted from the course fee in case of admission to the program.

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Download Brochure

What’s in this brochure:
  • Course overview
  • Learning journey
  • Learning methodology
  • Faculty
  • Panel members
  • Benefits of the program to you and your organization
  • Admissions
  • Schedule and tuition
  • Location and logistics

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