Personalized Customer Engagement Through Machine Learning

Objectives

• Understand the role of machine learning in customer engagement.
• Learn how to use machine learning models to personalize customer interactions.
• Explore techniques for data collection and analysis to improve customer experiences.
• Develop skills to implement machine learning-driven engagement strategies.

Content

Introduction to Machine Learning and Customer Engagement

• Basics of machine learning and its applications
• Importance of personalized customer engagement
• Overview of data-driven marketing strategies
• Types of machine learning models for customer interaction

Data Collection and Customer Insights

• Identifying and gathering relevant customer data
• Techniques for analyzing customer behavior and preferences
• Data preprocessing and feature selection
• Understanding customer segmentation and profiling

Personalization Strategies Using Machine Learning

• Recommendation systems and collaborative filtering
• Predictive analytics for customer behavior
• Personalization of marketing campaigns and content
• A/B testing and optimization techniques

Implementing Machine Learning in Customer Engagement

• Tools and platforms for deploying machine learning models
• Real-time personalization and automation
• Measuring the success of machine learning-driven engagement
• Challenges and ethical considerations in personalized engagement

DATE:

1ST BATCH:        10th – 13th Mar, 2026       

2ND BATCH:      30th Jun – 3rd Jul, 2026 

3RD BATCH:       27th – 30th Oct, 2026