Online/ e-LMS
Mentor Based
Moderate
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
Participant’s Eligibility
- 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.
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 CurrenciesBatches
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Key Takeaways
Program Deliverables
- 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.
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great knowledge about topic.