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Mentor Based

AI-Powered Customer Experience

AI, customer experience, chatbots, personalization, sentiment analysis, behavioral analytics, customer service, engagement, satisfaction

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Early access to e-LMS included

  • Mode: Online/ e-LMS
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Weeks

About This Course

AI-powered Customer Experience: Enhancing Engagement and Satisfaction is an 8-week course designed for M.Tech, M.Sc, and MCA students, as well as E0 & E1 level professionals in IT and related sectors. The course covers the use of AI in customer service chatbots, recommendation systems, sentiment analysis, and more, providing participants with practical skills and theoretical knowledge to implement AI-driven enhancements in customer experience.

Aim

This course aims to transform customer experience across various industries by leveraging artificial intelligence to enhance interactions, personalize services, and improve customer loyalty.

Program Objectives

  • Deep Understanding of AI Applications: Gain a thorough understanding of how AI can be applied to enhance customer experience.
  • Hands-On Skills: Acquire practical skills in deploying AI tools for personalization and customer interaction.
  • Innovative Solutions Development: Learn to develop innovative solutions that address real-world customer experience challenges.

Program Structure

Module 1: Introduction to AI in Customer Experience

  • Section 1.1: Understanding AI Basics
  • Section 1.2: Overview of Customer Experience (CX)
  • Section 1.3: The Intersection of AI and CX
  • Section 1.4: Current Trends and Future Predictions

Module 2: Tools and Technologies

  • Section 2.1: Key AI Technologies in CX
  • Section 2.2: Platforms and Tools Overview
  • Section 2.3: Integrating AI Tools into Existing Systems
  • Section 2.4: Case Studies: Successes and Failures

Module 3: Data Management and Analytics

  • Section 3.1: Data Collection Methods
  • Section 3.2: Data Analysis Techniques
  • Section 3.3: Generating Insights from Customer Data
  • Section 3.4: Privacy and Ethical Considerations

Module 4: Personalization Strategies

  • Section 4.1: Understanding Customer Behavior
  • Section 4.2: AI-driven Personalization Techniques
  • Section 4.3: Implementing Personalization at Scale
  • Section 4.4: Evaluating Personalization Effectiveness

Module 5: Enhancing Customer Interactions

  • Section 5.1: Chatbots and Virtual Assistants
  • Section 5.2: AI in Customer Support
  • Section 5.3: Real-time Problem Solving with AI
  • Section 5.4: Feedback and Continuous Improvement

Who Should Enrol?

  • M.Tech, M.Sc, and MCA students in IT, Computer Science, and related fields.
  • Professionals in BFSI, IT services, consulting, and KPO looking to enhance customer experiences through AI.

Program Outcomes

  • Enhanced Customer Engagement: Ability to use AI to significantly improve how businesses interact with customers.
  • Personalization Expertise: Skills in customizing customer experiences to increase satisfaction and loyalty.
  • Strategic Implementation: Competence in planning and executing AI strategies that transform customer experience.

Fee Structure

Discounted: ₹8499 | $112

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • 1:1 project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

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