AI+ Customer Service Practitioner™
- Price 109 EUR + VAT
- E-learning Start any time
- Duration 8 hours of content, self-paced
- Language English
- Topic AI Business
How you can take it
- E-learning Start any time · 109 EUR + VAT Order
- Open course Not available in this format
- Private in-house Any of our courses for your team Request a quote
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- Customer-Centric AI: Redefine service workflows with AI-powered personalization
- Practical Execution: Implement automation tools to optimize CX and satisfaction
- Ethical AI Integration: Covers trust-building and responsible AI practices
- Competitive Edge: Learn to enhance communication and service delivery at scale
Prerequisites
Basic understanding of business operations, Digital tools familiarity, fundamental AI/ML concepts
Audience
Who is it for
Customer Service Executives: Enhance your skills by integrating AI to optimize customer interactions and service delivery.
Technology Leaders: Leverage AI solutions to transform customer service strategies and improve operational efficiency.
Customer Experience Professionals: Apply AI-driven insights to create personalized, seamless customer journeys.
Students & Fresh Graduates: Develop future-proof skills in AI-driven customer service to stay ahead in the evolving job market.
Business Analysts: Integrate AI tools to analyze customer data and optimize service delivery strategies.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
Course Overview
- Course Introduction Preview
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
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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