Artificial Intelligence for Executives : Creating and Capturing Value Through Artificial Intelligence

Course Info

Length:

5 Days

Type:

In Classroom

Available Dates

2025-04-28

Amsterdam

2025-04-28

Barcelona

2025-04-28

Paris

2025-04-28

Singapore

2025-04-28

Istanbul

2025-04-28

Kuala Lumpur

2025-04-28

London

2025-05-26

Dubai

2025-06-02

London

2025-07-28

Kuala Lumpur

2025-07-28

Amsterdam

2025-07-28

Barcelona

2025-07-28

Paris

2025-07-28

Istanbul

2025-07-28

Singapore

2025-07-28

Dubai

2025-08-25

London

2025-09-01

Dubai

2025-10-27

Kuala Lumpur

2025-10-27

Singapore

2025-10-27

Istanbul

2025-10-27

Paris

2025-10-27

London

2025-10-27

Barcelona

2025-10-27

Amsterdam

2025-11-24

Dubai

2025-12-01

London

Course Details

  • Introduction

  • Objective

  • Who should attend

Artificial Intelligence (AI) is no longer a utopian vision but increasingly a strategic necessity for businesses committed to enhancing efficiency, optimizing decision-making, and building a competitive edge. Executives and business leaders must grasp the potential of AI across every business function, from customer relationship management and HR automation to supply chain optimization and corporate strategy development. AI-powered insights enable organizations to make well-informed decisions, maximize productivity, and provide sustainable growth in an increasingly digitally driven-economy.


The artificial intelligence for executives training course empowers top executives with a sharp understanding of the potential, limits, and business applications of AI. In five days, participants will learn AI tools, strategic deployment techniques, regulation, and ethical issues. With emphasis on practical case studies and interactive strategy design exercises, the course guarantees that executives get practical recommendations to implement AI in their firms successfully.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Overview of Artificial Intelligence 


  • Defining AI and related key concepts 
  • Exploring the historical evolution of AI 
  • Applications of AI:
  • Machine Learning
  • Natural-Language Processing
  • Robotics
  • Exploring machine learning frameworks and their implications 
  • Discovering the application of AI in different industrial sectors 
  • Discussing AI opportunities and limitations

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