Certificate in Artificial Intelligence for Executives

Professional training course

Certificate in Artificial Intelligence for Executives

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Classroom

15 sessions
12 - 16 October 2026 €2,815 + VAT Register
9 - 13 November 2026 €1,875 + VAT Register
14 - 18 December 2026 €3,460 + VAT Register
18 - 22 January 2027 €3,225 + VAT Register
15 - 19 February 2027 €2,815 + VAT Register
15 - 19 March 2027 €1,625 + VAT Register
19 - 23 April 2027 €1,875 + VAT Register
17 - 21 May 2027 €2,815 + VAT Register
21 - 25 June 2027 €1,875 + VAT Register
19 - 23 July 2027 €3,460 + VAT Register
16 - 20 August 2027 €3,225 + VAT Register
20 - 24 September 2027 €2,815 + VAT Register
18 - 22 October 2027 €3,825 + VAT Register
15 - 19 November 2027 €1,875 + VAT Register
20 - 24 December 2027 €2,815 + VAT Register
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Online / Live

15 sessions
12 - 16 October 2026 €1,215 + VAT Register
9 - 13 November 2026 €1,215 + VAT Register
14 - 18 December 2026 €1,215 + VAT Register
18 - 22 January 2027 €1,215 + VAT Register
15 - 19 February 2027 €1,215 + VAT Register
15 - 19 March 2027 €1,215 + VAT Register
19 - 23 April 2027 €1,215 + VAT Register
17 - 21 May 2027 €1,215 + VAT Register
21 - 25 June 2027 €1,215 + VAT Register
19 - 23 July 2027 €1,215 + VAT Register
16 - 20 August 2027 €1,215 + VAT Register
20 - 24 September 2027 €1,215 + VAT Register
18 - 22 October 2027 €1,215 + VAT Register
15 - 19 November 2027 €1,215 + VAT Register
20 - 24 December 2027 €1,215 + VAT Register
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Introduction

Course overview

Course Introduction

Artificial Intelligence (AI) involves the capability to think and act rationally, and its application in business has become crucial for optimizing operations and achieving efficient results with minimal effort and cost.

This Certificate in Artificial Intelligence for Executives training course is designed to equip participants with a solid understanding of AI concepts and practical skills.

The course will demonstrate how to effectively build AI applications and apply AI theories to solve real-world problems through carefully selected case studies.

Participants will gain hands-on experience and insights into the practical implementation of AI in business contexts.

By exploring these concepts and applications, attendees will be prepared to leverage AI to enhance business operations, drive innovation, and deliver optimized solutions efficiently.

This training course will feature:

Understanding the value of AI applications over other applications

Learning how to analyze daily business problems and create Artificial Intelligence solutions

Gaining a deeper understanding of the latest innovative technologies and apply them to business

Knowing the success and failure factors in AI related projects

Training Objectives

By attending this training course, delegates will be able to:

Develop necessary AI

Understand how to plan and analyze using logic

Explain how to imitate human in clustering and classification

Understand how to design a Machine Learning based applications

Analysis and Design AI Applications

Training Methodology

This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented.

This will combine presentations and workshops (computer-based activities) with instructor-guided interactive discussions between participants relating to their individual interests, Practical exercises, video material and case studies aiming at stimulating these discussions and providing maximum benefit to the participants will support the formal presentation sessions.

Above all, the course leader will make extensive use of case examples and case studies of issues in which he has been personally involved. Most of the computer-based activities will not involve programming so AI concepts will be clearly elaborated for non-technical delegates.

Who should Attend?

The target audience for this training course includes professionals who are interested in enhancing business, decision makers, marketing, finance, engineering and other competing technologies.

This training course is suitable to a wide range of professionals but will greatly benefit:

Quality, Safety, Reliability and Security officers

Project Managers

Executive Managers

Marketing Managers

Instrumentation, process, systems, electrical and mechanical Engineers

Finance, Budget-planner, Decision takers and Policy makers

View full course outline

Complete course outline

Five focused days of learning and application

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Day 1

An Overview of Artificial Intelligence

  1. Introduction to AI and Success Stories
  2. Human Intelligence vs Artificial Intelligence
  3. History of AI
  4. Coffee break
  5. History of AI (continued)
  6. Intelligent Agents and Their Roles
  7. Limits of Artificial Intelligence
  8. Intelligent Decision Making

Day 2

Intelligent Agents

  1. Introduction to Agents
  2. Different Types of Agents
  3. Knowledge-base and Data Base
  4. Coffee break
  5. Knowledge-base and Data Base (continued)
  6. Logic Reasoning
  7. Unification
  8. Deduction Processes

Day 3

Machine Learning

  1. Supervised and Unsupervised Learning
  2. Classification and Clustering
  3. Artificial Neural Networks
  4. Coffee break
  5. Artificial Neural Networks (continued)
  6. Learn by Examples
  7. Object Recognition
  8. Features and Classes

Day 4

Fuzzy Logic

  1. Introduction to Fuzzy Thinking
  2. Fuzziness vs Probability
  3. Fuzzy set and Fuzzy Rules
  4. Importance of Fuzzy logic
  5. Coffee break
  6. Importance of Fuzzy logic (continued)
  7. Real example of Fuzzy Controllers
  8. Building a Tiny Machine Learning Application

Day 5

Genetic Algorithm

  1. Overview of Genetic Algorithms
  2. The Need for Optimization, Maximization, and Minimization
  3. How GA Work and Evolve
  4. Coffee break
  5. How GA Work and Evolve (continued)
  6. Genetic Algorithm Chromosomes, Genes, Selection, Mutation and Crossover
  7. Dimension to Use Genetic Algorithm
  8. Real Genetic Algorithm Examples to Optimize Business Processes

FAQ

Frequently asked questions

What does Certificate in Artificial Intelligence for Executives cover?

This course covers Digital Innovation and Transformation through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on 12 - 16 October 2026. See the course schedules section for the available dates and delivery formats.

Who should attend this course?

This programme is designed for professionals responsible for strategy, operations, transformation, or delivery leadership.

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Check the course schedules section for currently published classroom and Online / Live sessions.

Where are classroom sessions delivered?

Current classroom venues include Barcelona, Frankfurt, Rome, Vienna, Cape Town, Paris.

How long is the training programme?

The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 training hours.