Artificial Intelligence (AI) for Professionals

Start Date End Date Venue Fees (US $)
31 May 2026 Dubai, UAE $ 3,900 Register
30 Aug 2026 Kuala Lumpur, Malaysia $ 4,500 Register
18 Oct 2026 Riyadh, KSA $ 3,900 Register
13 Dec 2026 Jeddah, KSA $ 4,500 Register

Artificial Intelligence (AI) for Professionals

Introduction

This Artificial Intelligence (AI)for Professionals training course presents a synthesis of experiences within the organizations which have implemented Artificial Intelligence and data analytics, data science. Artificial Intelligence has invaded everywhere both in personal and business life, and the more it is used the easier it is for the people to get accustomed to using it effectively within their work environment. It achieves excellent results without costing excess effort or money. It is a must now to know how wisely to manage business operations and be able to deliver them in the most optimized and efficient fashion. In this training course, the essential concepts of artificial intelligence are being demonstrated, as well as how and when to employ them, which is designed to develop the insight of the participants on Artificial Intelligence, understand the theories of Artificial Intelligence and help them to know how to solve real-world problems using artificial intelligence. The delegates attending this training course will learn how to apply adequate tools and techniques of Artificial Intelligence and Data Analysis and acquire adequate value for money without wasting efforts and developing a data analysis and scientific-based management culture together with implementing modern tools and techniques.

This Artificial Intelligence (AI) for Professionals training course will highlight:

  • The role of a leader in the success of AI and analytics
  • The systematic way to understand what is going on with data in the enterprise
  • Active participation of leaders in AI and analytics
  • Leader role in transforming the organization to adapt and change
  • How to lead the organizational changes needed in people, data and systems, culture, and structure?

Objectives

    At the end of this Artificial Intelligence (AI) for Professionals training course, you will learn to:

    • Identify the best analytics strategy for the organization
    • Learn the critical time—and opportunity— for change with the use of AI
    • Understand the business value of the data analysis and AI implementation
    • Implement analysis and scientific decision making, and embed the AI tools in your business
    • Adopt the four stages of analytics in organization

Training Methodology

This training course will utilize various proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes examples of digital transformation strategies, issues and risks related to digital transformation, implementation examples and the tools, techniques as well as tips and tricks of digital transformation implementation.

Who Should Attend?

This Artificial Intelligence (AI) for Professionals training course is suitable for a wide range of professionals but will greatly benefit:

  • Inspired leaders or the ones trying to become inspired leaders,
  • Managers
  • Technical leaders
  • Project Managers
  • Data Analysts
  • Data Scientists

Course Outline

Day 1: Artificial Intelligence Essentials

  • Data analysis and AI for successful leadership

  • AI added value to business and organization

  • Discovering patterns in data using analysis

  • Successful data analysis and artificial intelligence implementation

  • Planning and managing AI projects

Day 2: Artificial Intelligence and Data Analysis

  • The business context of opportunities

  • Data architecture for the implementation of artificial intelligence

  • Business priorities in dynamic and challenging business environments

  • Monitoring for anomalies in data

  • Improving data quality through the use of AI

  • Respecting diverse perspectives of problem solving

Day 3: Capabilities Required for Artificial Intelligence

  • Effective use of Chat GPT

  • Fundamental domain opportunities

  • ROI for prioritization, despite missing data

  • Supervised and unsupervised learning

  • Classification and clustering

  • Artificial neural networks

Day 4: Technology Roadmaps for Artificial Intelligence Use

  • Fuzzy set and Fuzzy rules

  • Importance of Fuzzy logic

  • Real example of Fuzzy controllers

  • Deep domain understanding

  • Applying initial solutions rapidly

  • Development focus

Day 5: Structure, Process, and Incentive Changes with AI

  • Problem-driven and planned up-front analytics

  • Regressions, likelihood, distributions

  • Data insights

  • Root Mean Square Error (RMSE)

  • Area Under the Curve (AUC)

  • Future strategies and digital transformation

Accreditation

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