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Training Program in Personal Marketing Using Artificial Intelligence

Training Program in Personal Marketing Using Artificial Intelligence

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Overview

Course Outline

Overview
Why Attend

In today’s digital marketing world, where competition is increasing like never before, personalized marketing is emerging as one of the most prominent customer acquisition and retention strategies. As technology advances, Artificial Intelligence (AI) has become the driving force behind this strategy, allowing businesses to personalize customer experiences in a way that was never possible before. AI enables marketers to analyze massive amounts of data quickly and accurately, providing deep insights into individual customer behaviors and preferences. By applying technologies such as machine learning and natural language processing, brands can now deliver personalized content, product recommendations, and customized user experiences that cater to the needs and aspirations of each individual customer.

Course Objectives

By the end of the course, participants will be able to:

Who Should Attend?

  • Marketing Managers.
  • Digital Marketing Specialists.
  • Entrepreneurs and Small Business Owners.
  • University Students and Graduates.
  • AI Engineers and Software Developers.
  • Marketing Consultants.
  • Brand Managers.

 

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

  • The concept of personalized marketing and how to customize marketing experiences to meet individual customer needs.
  • Definition of artificial intelligence, machine learning, natural language processing, and how to apply them in marketing.
  • How to collect data from different sources and analyze it using AI tools to extract insights into customer behaviors and preferences.
  • Using AI to personalize marketing campaign messages based on the extracted data.
  • Using AI to deliver personalized content and unique user experiences that meet the needs and expectations of each customer.
  • Using AI tools to automate marketing processes such as sending promotional messages and managing campaigns.
  • How to integrate AI into developing innovative personalized marketing strategies to achieve business goals.
  • Using AI to predict future trends in customer behavior and adapt strategies accordingly.
Course Outline
  • Introduction to Personal Marketing and Artificial Intelligence
    • The concept of personal marketing and its importance in attracting and retaining customers.
    • Defining artificial intelligence, machine learning, and natural language processing and how to apply them in marketing.
  • Collecting and analyzing data using artificial intelligence
    • Techniques for collecting data from multiple sources such as websites, social media, and databases.
    • Using artificial intelligence tools to analyze data and extract insights into customer behaviors and preferences.
    • Data mining techniques to discover patterns and trends in big data.
  • Personalizing marketing campaigns
    • Using artificial intelligence to deliver personalized content that matches each customer's interests.
    • Using artificial intelligence to improve ad targeting so that it reaches the right audience more effectively.
  • Improving customer experience
    • Designing and implementing recommendation systems based on artificial intelligence to suggest personalized products or services to customers.
    • Improving customer engagement by providing personalized experiences based on their data and behaviors.
  • Measuring and analyzing campaign performance
    • Defining and measuring key performance indicators (KPIs) for marketing campaigns using artificial intelligence tools.
    • Analyzing the results of marketing campaigns and providing recommendations for improvement based on the extracted data.
  • Challenges and Ethics in Personalized Marketing
    • Technical challenges that companies may face when applying AI in personalized marketing.
    • Ethical issues related to the use of AI, such as privacy and bias.
Schedule & Fees
2026 Schedule & Fees
USD 3,300
Per participant
  • 27 Sep - 1 Oct, 2026
  • English
USD 3,300
Per participant
  • 27 Sep - 1 Oct, 2026
  • Arabic
USD 3,300
Per participant
  • 13 - 17 Dec, 2026
  • English
USD 3,300
Per participant
  • 13 - 17 Dec, 2026
  • Arabic
USD 3,300
Per participant
  • 27 - 31 Dec, 2026
  • English
USD 3,300
Per participant
  • 27 - 31 Dec, 2026
  • Arabic
2027 Schedule & Fees
USD 3,300
Per participant
  • 14 - 18 Mar, 2027
  • English
USD 3,300
Per participant
  • 14 - 18 Mar, 2027
  • Arabic
USD 3,300
Per participant
  • 28 Mar - 1 Apr, 2027
  • English
USD 3,300
Per participant
  • 28 Mar - 1 Apr, 2027
  • Arabic
USD 3,300
Per participant
  • 13 - 17 Jun, 2027
  • English
USD 3,300
Per participant
  • 13 - 17 Jun, 2027
  • Arabic
USD 3,300
Per participant
  • 27 Jun - 1 Jul, 2027
  • English
USD 3,300
Per participant
  • 27 Jun - 1 Jul, 2027
  • Arabic
USD 3,300
Per participant
  • 12 - 16 Sep, 2027
  • English
USD 3,300
Per participant
  • 12 - 16 Sep, 2027
  • Arabic
USD 3,300
Per participant
  • 26 - 30 Sep, 2027
  • English
USD 3,300
Per participant
  • 26 - 30 Sep, 2027
  • Arabic
USD 3,300
Per participant
  • 12 - 16 Dec, 2027
  • English
USD 3,300
Per participant
  • 12 - 16 Dec, 2027
  • Arabic
USD 3,300
Per participant
  • 26 - 30 Dec, 2027
  • English
USD 3,300
Per participant
  • 26 - 30 Dec, 2027
  • Arabic

Dates & fees

27 Sep - 1 Oct, 2026
USD 3,300
27 Sep - 1 Oct, 2026
USD 3,300
13 - 17 Dec, 2026
USD 3,300
13 - 17 Dec, 2026
USD 3,300
27 - 31 Dec, 2026
USD 3,300
27 - 31 Dec, 2026
USD 3,300
14 - 18 Mar, 2027
USD 3,300
14 - 18 Mar, 2027
USD 3,300
28 Mar - 1 Apr, 2027
USD 3,300
28 Mar - 1 Apr, 2027
USD 3,300
13 - 17 Jun, 2027
USD 3,300
13 - 17 Jun, 2027
USD 3,300
27 Jun - 1 Jul, 2027
USD 3,300
27 Jun - 1 Jul, 2027
USD 3,300
12 - 16 Sep, 2027
USD 3,300
12 - 16 Sep, 2027
USD 3,300
26 - 30 Sep, 2027
USD 3,300
26 - 30 Sep, 2027
USD 3,300
12 - 16 Dec, 2027
USD 3,300
12 - 16 Dec, 2027
USD 3,300
26 - 30 Dec, 2027
USD 3,300
26 - 30 Dec, 2027
USD 3,300

Fees + VAT as applicable

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