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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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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.

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

Rajnish Tandon

Bodhi Nexus (Founder)

Biography

AI Mentor

Pratish Jain

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Biography

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.