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The Personalization and AI in Customer Experience in Amsterdam is a specialized training course that equips executives and marketers with skills to leverage AI and personalization techniques to improve customer experiences.

Amsterdam

Fees: 5900
From: 19-01-2026
To: 23-01-2026

Personalization and AI in Customer Experience

Course Overview

Customers expect brands to recognize their unique needs and deliver relevant interactions at every touchpoint. This Personalization and AI in Customer Experience Training Course provides participants with the strategies and tools to apply data analytics and AI-driven personalization across channels.

The course covers personalization frameworks, customer data platforms (CDPs), predictive analytics, omnichannel personalization, and the ethical use of AI in customer engagement. Participants will study case studies from leading companies and design AI-powered experience strategies tailored to their industries.

By the end of this program, professionals will be equipped to move beyond one-size-fits-all approaches and deliver scalable, personalized experiences that drive loyalty.

Course Benefits

  • Understand personalization principles in customer experience.

  • Apply AI and data-driven insights to engagement strategies.

  • Build omnichannel personalized customer journeys.

  • Leverage predictive analytics for proactive engagement.

  • Benchmark against global leaders in AI-driven CX.

Course Objectives

  • Define personalization and AI integration in CX.

  • Use customer data to design tailored experiences.

  • Apply AI and machine learning for predictive engagement.

  • Create omnichannel personalization strategies.

  • Address ethical and privacy issues in AI-driven CX.

  • Measure personalization effectiveness with KPIs.

  • Analyze case studies of personalized experience leaders.

Training Methodology

This course blends interactive lectures, case studies, group discussions, and practical design workshops. Participants will create AI-powered personalization strategies for real-world scenarios.

Target Audience

  • Marketing and customer experience managers.

  • CRM and personalization specialists.

  • Digital transformation professionals.

  • Executives seeking to enhance customer engagement.

Target Competencies

  • AI-driven personalization strategy.

  • Customer data and predictive analytics.

  • Omnichannel personalization design.

  • Ethical use of AI in CX.

Course Outline

Unit 1: Foundations of Personalization in CX

  • Why personalization drives engagement and loyalty.

  • Principles of customer-first personalization.

  • Role of data in customer experience design.

  • Case studies of personalization success.

Unit 2: AI and Predictive Personalization

  • AI and machine learning in customer engagement.

  • Predictive analytics for customer behavior.

  • Real-time personalization techniques.

  • Practical exercise: predictive personalization design.

Unit 3: Customer Data Platforms and Integration

  • Role of CDPs in personalization.

  • Integrating customer data across touchpoints.

  • Overcoming data silos.

  • Case study: unified customer experience strategy.

Unit 4: Omnichannel Personalization Strategies

  • Creating seamless cross-channel experiences.

  • Personalization in web, mobile, and offline.

  • Designing journeys for different personas.

  • Group activity: omnichannel journey mapping.

Unit 5: Ethics and Future of AI in CX

  • Balancing personalization with data privacy.

  • Transparency and customer trust in AI.

  • Future trends in AI-powered CX.

  • Global outlook on personalization strategies.

Ready to deliver smarter, AI-powered customer experiences?
Join the Personalization and AI in Customer Experience Training Course with EuroQuest International Training and gain the expertise to design personalized strategies that boost engagement, trust, and loyalty.

Personalization and AI in Customer Experience

The Personalization and AI in Customer Experience Training Courses in Amsterdam equip professionals with advanced strategies and technologies to create intelligent, personalized customer interactions that drive satisfaction, loyalty, and long-term value. Designed for marketing leaders, customer experience (CX) managers, data scientists, and digital transformation professionals, these programs focus on leveraging artificial intelligence, automation, and predictive analytics to deliver seamless, individualized experiences across channels.

Participants gain a comprehensive understanding of AI-driven personalization, exploring how data, machine learning, and real-time analytics can enhance customer engagement. The courses cover essential topics such as customer journey mapping, predictive modeling, recommendation systems, and automated content delivery. Through practical workshops and real-world case studies, participants learn how to design adaptive CX frameworks that respond dynamically to customer behavior and preferences, optimizing every interaction for relevance and impact.

These AI and customer experience training programs in Amsterdam combine strategic insights with hands-on technical application. Participants examine how chatbots, voice assistants, and data platforms can be integrated to improve service quality and operational efficiency. The curriculum also emphasizes ethical AI use, transparency, and compliance with global privacy standards—ensuring personalization efforts build trust and align with organizational values.

Attending these training courses in Amsterdam provides professionals with access to expert instructors and an international learning environment within one of Europe’s most innovative technology and marketing hubs. The city’s dynamic business ecosystem encourages cross-industry collaboration and exposure to cutting-edge digital solutions. By completing this specialization, participants will be equipped to harness the power of AI and data to create personalized customer experiences—enhancing brand loyalty, increasing engagement, and driving measurable growth in today’s experience-driven global marketplace.