| Date | Venue | Fees | |
|---|---|---|---|
| 20 - 24 Jul 2026 | Paris - France | $ 5,950 | |
| 31 Aug - 04 Sep 2026 | Dubai - UAE | $ 5,950 | |
| 02 - 06 Nov 2026 | Milan - Italy | $ 5,950 | |
| 02 - 06 Nov 2026 | Online | $ 4,950 | |
| 21 - 25 Dec 2026 | London - UK | $ 5,950 | |
| 10 - 14 May 2027 | Online | $ 4,950 | |
| 10 - 14 May 2027 | London - UK | $ 5,950 | |
| 19 - 23 Jul 2027 | Paris - France | $ 5,950 | |
| 30 Aug - 03 Sep 2027 | Dubai - UAE | $ 5,950 | |
| 01 - 05 Nov 2027 | Milan - Italy | $ 5,950 | |
| 01 - 05 Nov 2027 | Online | $ 4,950 | |
| 20 - 24 Dec 2027 | London - UK | $ 5,950 |
Introduction
Artificial Intelligence (AI) for Personalized Customer Experience training course provides professionals with the knowledge and practical insight needed to use AI technologies to create more relevant, engaging, and customer-focused experiences. The course explores how AI is reshaping the way organisations interact with customers by helping them better understand customer preferences, recognise patterns in behaviour, anticipate future needs, and deliver meaningful interactions across a range of communication channels. Participants will develop a practical appreciation of customer analytics, machine learning applications, recommendation systems, predictive capabilities, conversational AI solutions, and customer engagement practices that contribute to stronger business performance and long-term customer relationships.
The customers expect organisations to understand their individual needs and deliver experiences that feel relevant and timely. Traditional customer segmentation is no longer sufficient to meet these expectations. This training course examines how AI can help organisations create more personalised customer journeys, improve service quality, strengthen customer retention, and support more informed marketing and customer engagement decisions. Particular attention is given to responsible AI implementation, effective management of customer data, privacy considerations, and the ethical use of AI technologies. Through practical examples and business-focused discussions, participants will discover how AI can be used to build stronger customer connections, differentiate organisations in competitive markets, and generate tangible business results.
This Artificial Intelligence (AI) for Personalized Customer Experience training course will highlight:
- AI applications that are reshaping modern customer experiences
- Methods for understanding customer behaviour and engagement patterns
- Personalisation approaches supported by machine learning and predictive analysis
- Conversational AI tools, recommendation systems, and customer interaction technologies
- Privacy, governance, and ethical considerations when applying AI in customer-facing environments
Objectives
At the end of this Artificial Intelligence (AI) for Personalized Customer Experience training course, you will be able to:
- Explain how AI is influencing modern customer experience strategies
- Use customer data and analytics to uncover preferences, behaviours, and engagement opportunities
- Assess the suitability of AI-powered personalisation technologies for different business needs
- Develop customer journeys supported by predictive insights and intelligent automation
- Address customer experience challenges while maintaining privacy, ethical standards, and governance requirements
Training Methodology
This training course adopts a practical and business-focused learning approach that combines AI concepts, customer experience practices, analytical techniques, and real-world examples. Participants will explore customer engagement frameworks, personalisation strategies, customer journey improvement methods, and digital experience initiatives used by leading organisations. The learning process encourages critical thinking, informed decision-making, and the practical application of AI-driven customer experience practices within a professional environment.
Organisational Impact
This Artificial Intelligence (AI) for Personalized Customer Experience training course will enable organisations to:
- Increase customer satisfaction and strengthen engagement
- Provide more relevant and personalised experiences across customer interactions
- Strengthen customer retention and loyalty initiatives
- Improve the effectiveness of marketing and customer acquisition efforts
- Make better-informed decisions using customer insights and data
- Advance customer experience improvement and digital transformation priorities
Personal Impact
Participants will develop:
- A practical understanding of how AI supports customer experience initiatives
- Stronger skills in interpreting customer behaviour and engagement trends
- Broader knowledge of personalisation tools and customer-focused technologies
- Greater confidence in assessing AI-enabled customer solutions
- Increased awareness of privacy, governance, and ethical considerations relating to customer data
- Enhanced professional credibility in customer experience, marketing, and digital transformation roles
Who should Attend?
This GLOMACS Artificial Intelligence (AI) for Personalized Customer Experience training course is suitable for a wide range of professionals, particularly those looking to leverage AI for customer experience innovation.
- Customer experience managers and specialists
- Marketing and sales professionals
- IT and data analysts
- Business development leaders
- Anyone involved in customer service transformation
Foundations of AI in Customer Experience
- Introduction to AI and Customer Experience
- Overview of AI technologies (Machine Learning, NLP, etc.)
- Understanding customer behavior through AI
- Exploring AI trends in personalization
- Case studies of successful AI implementations
Unlocking Insights with AI-Driven Data Analytics
- Data Analytics for Customer Insights
- Collecting and processing customer data
- AI tools for real-time customer behavior analysis
- Developing predictive models for customer needs
- Practical exercise: Designing customer personas using AI
Crafting Tailored Journeys with AI
- Designing AI-Powered Customer Journeys
- Mapping customer touchpoints
- Integrating AI into customer journey stages
- Personalization strategies with AI
- Workshop: Creating AI-driven engagement plans
Navigating Ethics in AI-Powered Customer Strategies
- Ethical AI in Customer Experience
- Addressing biases in AI algorithms
- Data privacy and compliance considerations
- Balancing personalization and customer consent
- Roundtable discussion: Ethical dilemmas in AI
Driving Success with AI Implementation and Measurement
- Implementing and Measuring AI Strategies
- Building an AI implementation roadmap
- Defining KPIs for AI-powered experiences
- Measuring ROI and customer satisfaction
- Capstone project: Presenting AI-driven CX strategies
- Upon successful completion of the classroom-based training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
- Upon successful completion of the online training course, a GLOMACS Certificate will be awarded to all delegates. Guided Learning Hours – In accordance with ISO 9001:2015–certified quality management standards, one Guided Learning Hour is awarded for every 60 minutes of attendance.
Endorsed Education Provider