AI+ Customer Service
The AI+ Customer Service course covers how Artificial Intelligence enhances customer service operations. It explores AI technologies such as machine learning, natural language processing (NLP), and deep learning. The course includes methods for data collection, ensuring data quality, and applying insights to improve service. Participants will learn about implementing AI solutions, integrating them into existing systems, and measuring their impact. It also addresses optimizing customer experiences through AI-driven insights and tools.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
All Sunset Learning dates are guaranteed to run!
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Prerequisites:
Required:
- Foundational understanding of AI and its applications in business, no professional expertise required.
- Willingness to learning about how AI can be integrated into customer service practices.
- A curiosity to explore innovative customer service strategies using AI tools.
Recommended:
- AI+ Everyone or AI+ Executive
Target Audience:
- Business Managers
- Customer Success Manager Specialist
- Customer Success Manager
- Customer Support
Course Objectives:
- Enhanced Efficiency
- Personalized Interactions
- 24/7 Availability
- Continuous Learning and Improvement
- Seamless Integration
Course Outline:
Introduction to Artificial Intelligence (AI) in Customer Service
- Overview of AI
- Relevance of AI in Customer Service
Understanding AI Technologies
- Overview of Machine Learning
- Natural Language Processing (NLP)
- Deep Learning and Neural Networks
- AI-Driven Analytics
Data Collection and Analysis
- Gathering Customer Data
- Data Quality and Integrity
- Analyzing Data for Insights
- Applying Insights to Enhance Customer Service
Implementing AI Solutions
- AI Solutions for Customer Service
- Integration into Customer Service Systems
- Training and Change Management
- Measuring the Impact of AI on Customer Service
Optimizing Customer Experiences
- Using AI to Create Personalized Customer Interactions
- Increasing Service Efficiency with AI
- Case Studies: Successful AI Implementations in Customer Service