A Highly Interactive Training Course On

Certificate in Artificial Intelligence for Executives

Artificial Intelligence in Business Strategy and Decision-Making

Certificate in Artificial Intelligence for Executives
Course Schedule

CLASSROOM

20-24 Jan 2025
Dubai
$5,950
24-28 Mar 2025
Dubai
$5,950
07-11 Apr 2025
London
$5,950
16-20 Jun 2025
Dubai
$5,950
04-08 Aug 2025
Dubai
$5,950
15-19 Sep 2025
Riyadh
$5,950
20-24 Oct 2025
London
$5,950
08-12 Dec 2025
Dubai
$5,950
29 Dec 2025-02 Jan 2026
Dubai
$5,950
Certificate
  • Coventry Academy Certificate of Completion for delegates who attend and complete the training course

Training Overview

Training Overview

Artificial Intelligence (AI) is revolutionizing both personal and business spheres by enabling efficient and optimized operations. The Artificial Intelligence Essentials training course is designed to equip participants with a foundational understanding of AI, focusing on its practical applications in daily business activities.

Over five days, participants will learn how to build AI applications, analyze real-world business problems, and develop AI solutions. The course covers essential concepts, theories, and innovative technologies, using case studies to illustrate both success and failure factors in AI projects.

Key topics include:

  • The advantages of AI applications over traditional methods
  • Techniques for identifying business problems suitable for AI solutions
  • Insights into the latest AI technologies and their business applications

What are the goals?

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

Who is this Training Course for?

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

How will this Training Course be Presented?

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.

The Course Content

Day One: An Overview of Artificial Intelligence
  • Introduction to AI and Success Stories
  • Human Intelligence vs Artificial Intelligence
  • History of AI
  • Intelligent Agents and Their Roles
  • Limits of Artificial Intelligence
  • Intelligent Decision Making 
Day Two: Intelligent Agents
  • Introduction to Agents
  • Different Types of Agents
  • Knowledge-base and Data Base
  • Logic Reasoning
  • Unification
  • Deduction Processes 
Day Three: Machine Learning
  • Supervised and Unsupervised Learning
  • Classification and Clustering
  • Artificial Neural Networks
  • Learn by Examples
  • Object Recognition
  • Features and Classes 
Day Four: Fuzzy Logic
  • Introduction to Fuzzy Thinking
  • Fuzziness vs Probability
  • Fuzzy set and Fuzzy Rules
  • Importance of Fuzzy logic
  • Real example of Fuzzy Controllers
  • Building a Tiny Machine Learning Application 
Day Five: Genetic Algorithm
  • Overview of Genetic Algorithms
  • The Need for Optimization, Maximization, and Minimization
  • How GA Work and Evolve
  • Genetic Algorithm Chromosomes, Genes, Selection, Mutation and Crossover
  • Dimension to Use Genetic Algorithm
  • Real Genetic Algorithm Examples to Optimize Business Processes