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AI+ Customer Service Practitioner™

Course code: NPAP210

Formerly known as AI+ Customer Service™

Enhance Customer Experiences: Employ AI-Powered Service Solutions

  • Customer-Centric AI: Redefine service workflows through AI-powered personalization and smarter customer engagement.
  • Practical Execution: Implement automation tools to optimize customer experience and satisfaction outcomes.
  • Ethical AI Integration: Explores trust-building principles and responsible AI practices in service contexts.
  • Competitive Edge: Enhance communication and scale service delivery effectively across customer touchpoints.
75 EUR

91 EUR including VAT

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

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.

Course structure

Course Overview

Module 1: Introduction to Artificial Intelligence (AI) in Customer Service

  • 1.1 Overview of AI
  • 1.2 Relevance of AI in Customer Service

Module 2: Understanding AI Technologies

  • 2.1 Overview of Machine Learning
  • 2.2 Natural Language Processing (NLP)
  • 2.3 Deep Learning and Neural Networks
  • 2.4 AI-Driven Analytics

Module 3: Data Collection and Analysis

  • 3.1 Gathering Customer Data
  • 3.2 Data Quality and Integrity
  • 3.3 Analyzing Data for Insights
  • 3.4 Applying Insights to Enhance Customer Service

Module 4: Implementing AI Solutions

  • 4.1 AI Solutions for Customer Service
  • 4.2 Integration into Customer Service Systems
  • 4.3 Training and Change Management
  • 4.4 Measuring the Impact of AI on Customer Service

Module 5: Optimizing Customer Experiences

  • 5.1 Using AI to Create Personalized Customer Interactions
  • 5.2 Increasing Service Efficiency with AI
  • 5.3 Case Studies: Successful AI Implementations in Customer Service

Module 6: Ethical Considerations and Trust

  • 6.1 Ethical AI Use in Customer Service
  • 6.2 Building Trust through Transparency
  • 6.3 Compliance with Data Privacy Regulations

Module 7: Future of AI in Customer Service

  • 7.1 Emerging Trends and Advancements in AI Technologies
  • 7.2 Innovative Use Cases for AI in Customer Service
  • 7.3 Preparing for AI Evolution in Customer Service
  • 7.4 Ethical and Societal Considerations

Module 8: Creating an AI Strategy for Your Organization

  • 8.1 Developing Strategic Plan for AI Implementation and Evolution
  • 8.2 Cultivating an AI-Driven Culture
  • 8.3 Overcoming Challenges and Measuring Success

Optional Module: AI Agents for Customer Service

  • 1. What Are AI Agents
  • 2. Types of AI Agents
  • 3. Applications and Trends of AI Agents in Customer Service

Prerequisites

  • A basic understanding of business operations and the role customer service plays in organizational success.
  • Familiarity with digital tools, software, and foundational AI concepts.
  • Some insight into strategic decision-making processes, particularly around technology adoption and service improvements.
  • A genuine curiosity and openness to exploring how AI can transform customer service and create business value.

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