Artificial Intelligence for Managers


This brand new 3-day masterclass provides you with the tools to create an AI strategy and set up organizational structures to develop an organization that is ready for AI. You will learn the fundamentals of Artificial Intelligence (AI): use cases, algorithms, technologies and frameworks enabling you to set the effective steps to launch and operationalize AI in your organization. The masterclass consists of 2 full days of classroom lectures and 6 online lectures of 1.5-hours each.

This masterclass is designed for senior and middle management professionals who recognize the value of digital transformation and AI; and for those who understand that continuous improvement, innovation and disruption are part of doing business. In short, this masterclass is for  managers who want to know what AI can do for them, lead AI initiatives, and drive digital transformation.

What will you learn?

This masterclass provides you with the AI literacy to be the business AI leader in your organization. After completing the masterclass, you will be able to:

  • Explain AI as a concept and its applications
  • Demonstrate the technologies and algorithms behind AI
  • Create and execute an AI strategy and develop an AI-ready organization
  • Apply the different AI applications in the business value chain
  • Apply best practices in an AI project with its activities
  • Assess the make or buy decision of tooling
  • Assess the available and necessary skills and competencies



Practical information

Location classroom lectures: Leonardo Royal Hotel, Paul van Vlissingenstraat 24 Amsterdam
Language: English
Certification: You will receive a Certificate of Attendance from the University of Amsterdam

Dates classroom lectures (9:00 – 17:00):

  • TBD

Dates online lectures (10:00 – 11:30)

  • TBD

Course information

Available dates

Leonardo Royal Hotel
Paul van Vlissingenstraat 24

€ 2.950

Contact information

Vanessa Rijkeboer
Programme Manager of The Analytics Academy

+31 (0)20 525 71 46



file: pdf
size: 741.32 KB
last updated: 05/07/2021



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