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AI+ Customer Service™

The AI+ Customer Service certification is designed for professionals aiming to revolutionize customer experiences through Artificial Intelligence (AI). Begin with an introduction to AI’s role in customer service and delve into understanding various AI technologies. Learn effective data collection and analysis techniques crucial for AI implementation. Explore strategies for implementing AI solutions and optimizing customer experiences. Ethical considerations and building trust are emphasized to ensure responsible AI deployment. Dive into the future landscape of AI in customer service, preparing for upcoming advancements. Conclude by crafting a comprehensive AI strategy tailored to your organization’s needs. Throughout the course, emphasis is placed on practical application, ensuring participants are equipped with the skills to navigate the evolving customer service landscape seamlessly. Gain a competitive edge by mastering AI-driven strategies, fostering customer satisfaction, and propelling organizational growth.

Fee structure:

Self-Learning Mode:
Each certificate: INR: 19,999

(online videos access + practice tests) – 4 weeks

On-line Instructure led training:
Certificate: INR: 29,999

(online videos access + practice tests) – 4 weeks

Objectives

Implementing and Managing AI Solutions

Learners will gain practical skills in selecting, deploying, and managing AI technologies within customer service settings to enhance efficiency and effectiveness.

Data-Driven Customer Insights

Learners will get the ability to collect, analyze, and utilize customer data through AI tools to improve service delivery and customer satisfaction.

Optimizing Customer Experiences with AI

Students will learn how to use AI to personalize and enhance customer interactions, ensuring a seamless and satisfying customer journey.

Strategic AI Implementation

Learners will develop strategic thinking skills necessary to design and implement a comprehensive AI strategy tailored to their organization’s needs, including considerations for ethical use and trust in AI systems.

Prerequisites

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