AI-powered Customer Experience: Enhancing Engagement and Satisfaction
AI, customer experience, chatbots, personalization, sentiment analysis, behavioral analytics, customer service, engagement, satisfaction
Skills you will gain:
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.
What you will learn?
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
Module 6: Project and Implementation
- Section 6.1: Designing an AI-CX Project
- Section 6.2: Project Implementation Stages
- Section 6.3: Monitoring and Evaluation
- Section 6.4: Scalability and Future Growth
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.
Career Supporting Skills
