Mentor Based
AI-Powered Customer Experience
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Course Overview
Program Syllabus
Module 1
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.
Module 2
Aim
This course aims to transform customer experience across various industries by leveraging artificial intelligence to enhance interactions, personalize services, and improve customer loyalty.
Module 3
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.
Module 4
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
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI-Powered Customer Experience
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 5
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 6
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 7
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 8
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
Module 9
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.
Module 10
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.
Module 12
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
Module 13
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 14
Publication Opportunity
Get published in a prestigious open-access journal.
Module 15
Centre of Excellence
Become part of an elite research community.
Module 16
Networking & Learning
Connect with global researchers and mentors.
Module 17
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 18
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