Introduction
Today’s customers expect experiences that are personal, timely, and relevant. Generic marketing no longer works, businesses must respond to individual preferences and behaviors. Artificial Intelligence (AI) enables this by helping organizations analyze customer data and deliver tailored messages, offers, and services. This course introduces practical ways to use AI for customer personalization. Designed for non-technical professionals, it focuses on simple tools that can be applied across marketing, sales, and customer service. Participants will explore how AI supports customer segmentation, recommendations, and smart automation.By the end, participants will have the knowledge and confidence to support AI-driven personalization efforts in their daily work.
Course Outline
- Module 1
- Module 2
- Module 3
- Module 4
- Module 5
- Course Objectives
- Target Audience
Getting Started with AI in Personalization
- What is AI personalization and how it works in business
- Common tools and platforms used for AI in marketing
- Overview of customer data: what’s collected and why
- Real examples of personalization in action (e.g., Netflix, Amazon)
Knowing Your Customer Better with AI
- How AI helps group customers with similar behaviors
- Intro to customer profiles and personas
- Using past data to guess future preferences
- Tools for basic customer insights (no coding required)
Personalizing Content and Offers
- How companies match the right message with the right customer.
- Tools that suggest products, content, or services based on customer data.
- Examples of personalized emails and automated messages.
- Using basic tools to customize website content or ads.
AI Tools for Everyday Use
- Overview of user-friendly tools (e.g., chatbots, CRMs with AI)
- AI in customer service: auto-replies, chat support, FAQs
- Social media personalization with AI insights
- Managing customer journeys with automation
Data, Ethics & Moving Forward
- How to keep customer data safe and use it responsibly.
- Key privacy laws you should know (GDPR, local policies).
- Good practices: asking permission, being transparent.
- Common mistakes to avoid with AI personalization.
By the end of this course, participants will be able to:
- Explore how AI supports customer personalization across various business areas.
- Identify customer patterns and preferences using basic data tools.
- Use AI tools to personalize messages, recommendations, and support.
- Apply simple automation to improve marketing and customer journeys.
- Recognize data privacy practices and ethical use of AI in customer engagement.
- Plan small, practical steps to bring AI personalization into their current role.
This course is ideal for:
- Marketing executives and managers
- Customer experience (CX) teams
- CRM and loyalty program staff
- Sales and business development staff
- E-commerce and digital marketing teams
- Data analysts and customer insight teams
- Customer service and support managers
- Product managers working on user experience
- IT staff supporting customer department
Course Schedule & Fees
- Kuala Lumpur
- Singapore
- Amsterdam
- Online
- Course Fees
This course will take place in Kuala Lumpur on the following dates:
26/05/2025 | 09/06/2025 | 23/06/2025 | 07/07/2025 |
21/07/2025 | 04/08/2025 | 18/08/2025 | 01/09/2025 |
15/09/2025 | 29/09/2025 | 13/10/2025 | 27/10/2025 |
10/11/2025 | 24/11/2025 | 08/12/2025 | 22/12/2025 |
05/01/2026 | 19/01/2026 | 02/02/2026 | 16/02/2026 |
This course will take place in Singapore on the following dates:
19/05/2025 | 09/06/2025 | 30/06/2025 | 21/07/2025 |
11/08/2025 | 01/09/2025 | 22/09/2025 | 13/10/2025 |
03/11/2025 | 15/12/2025 | 05/01/2026 | 26/01/2026 |
16/02/2026 |
This course will take place in Amsterdam on the following dates:
26/05/2025 | 16/06/2025 | 07/07/2025 | 28/07/2025 |
18/08/2025 | 08/09/2025 | 29/09/2025 | 20/10/2025 |
10/11/2025 | 01/12/2025 | 22/12/2025 | 12/01/2026 |
02/02/2026 | 23/02/2026 |
This course will take place Online the following dates:
20/05/2025 | 17/06/2025 | 15/07/2025 | 12/08/2025 |
09/09/2025 | 07/10/2025 | 04/11/2025 | 02/12/2025 |
30/12/2025 | 27/01/2026 | 24/02/2026 |
Kuala Lumpur | Singapore | Amsterdam | Online |
USD$ 3,580 | USD$ 5,600 | USD$ 5,600 | USD$ 1,920 |