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Table of Contents
    Mentor Based

    AI-Powered Customer Experience

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

    Enroll now for early access of e-LMS

    MODE
    Online/ e-LMS
    TYPE
    Mentor Based
    LEVEL
    Moderate
    DURATION
    3 Weeks

    About

    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.

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    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

    Intended For

    • 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.

    Mentors

    AI Mentor
    AI mentor

    Rajnish Tandon

    Bodhi Nexus (Founder)

    Biography
    AI Mentor
    AI mentor

    Pratish Jain

    Rajiv Gandhi Proudyogiki Vishwavidyalaya

    Biography
    AI Mentor
    AI mentor

    J. T. Sibychen
    Cyber and Cloud Security Trainer

    NIIT Foundation

    Biography

    More Mentors

    Fee Structure

    Fee:       INR 8,499             USD 112

    We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

    List of Currencies

    FOR QUERIES, FEEDBACK OR ASSISTANCE

    Key Takeaways

    • Access to e-LMS
    • Real Time Project for Dissertation
    • Project Guidance
    • Paper Publication Opportunity
    • Self Assessment
    • Final Examination
    • e-Certification
    • e-Marksheet

    Placement Assistance

    • Career Development: Guidance on career advancement in AI and customer experience fields.
    • Industry Connections: Access to a network of professionals and experts in AI and customer relationship management.
    • Corporate Engagement: Insights from and partnerships with leading companies implementing AI in customer experience.

    Future Career Prospects

    • Customer Experience Strategist: Specialize in using AI to design and implement customer experience strategies.
    • AI Solutions Architect: Develop complex AI architectures that enhance customer interactions.
    • Customer Insights Analyst: Utilize AI tools to analyze customer data and generate actionable insights.

    Enter the Hall of Fame!

    Take your research to the next level!

    Publication Opportunity
    Potentially earn a place in our coveted Hall of Fame.

    Centre of Excellence
    Join the esteemed Centre of Excellence.

    Networking and Learning
    Network with industry leaders, access ongoing learning opportunities.

    Hall of Fame
    Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

    Achieve excellence and solidify your reputation among the elite!


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