Course Overview
AI-powered Customer Experience: Enhancing Engagement and Satisfaction is an 8-week course tailored for M.Tech, M.Sc, and MCA students, as well as E0 & E1 level professionals in IT and related sectors. The course delves into the use of AI technologies in customer service, including chatbots, recommendation systems, sentiment analysis, and more. Participants will gain both practical skills and theoretical knowledge needed to implement AI-driven enhancements in customer experience.
Course Goals
This course aims to transform customer experience across various industries by leveraging artificial intelligence to enhance customer interactions, personalize services, and improve customer loyalty.
Program Objectives
- Deep Understanding of AI Applications: Gain a comprehensive 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
- 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
Eligibility
- Students: M.Tech, M.Sc, and MCA students in IT, Computer Science, and related fields.
- Professionals: Individuals in BFSI, IT services, consulting, and KPO sectors who are looking to enhance customer experiences through AI.
Learning Outcomes
- Enhanced Customer Engagement: Learn to use AI to significantly improve how businesses interact with customers.
- Personalization Expertise: Develop skills in customizing customer experiences to boost satisfaction and loyalty.
- Strategic Implementation: Gain competence in planning and executing AI strategies that transform customer experience.
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