This course explores how AI transforms customer service operations, empowering professionals to design, automate, and manage intelligent, ethical, and efficient support systems. You’ll learn to combine strategic AI planning, no-code automation, and responsible AI governance to deliver personalized and proactive customer experiences at scale.


您将学到什么
Explain how AI aligns with customer service goals and enhances journey mapping, engagement, and ROI.
Build automated customer service workflows using no-code tools like Zapier and Flowise
Apply ethical and privacy-first principles to ensure fairness, transparency, and AI compliance.
Design and present a comprehensive AI-driven customer service transformation strategy.
您将获得的技能
- Customer experience improvement
- Data Ethics
- Customer Data Management
- Generative AI
- Automation
- Workflow Management
- Customer Analysis
- Ethical Standards And Conduct
- Email Automation
- Agentic systems
- No-Code Development
- Responsible AI
- Customer Support
- Customer and Client Support
- Artificial Intelligence
- Business Process Automation
- Customer Communications Management
- Customer Engagement
- Customer Relationship Management (CRM) Software
- Customer Service
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有4个模块
Learn how to plan and execute AI-driven customer service strategies that align with business goals. Explore how AI enhances customer journey mapping, proactive engagement, and ROI measurement. Build hands-on skills using Miro AI and Notion AI to design strategic blueprints, optimize customer lifetime value, and personalize engagement through intelligent segmentation and retention strategies.
涵盖的内容
11个视频4篇阅读材料3个作业
Discover how to automate and optimize customer service workflows using no-code platforms. Learn to design intelligent automations for onboarding, feedback, and complaint resolution with tools like Zapier and Flowise. Gain practical experience building, monitoring, and troubleshooting workflows that connect CRM and helpdesk systems, improving efficiency, accuracy, and customer satisfaction, all without coding.
涵盖的内容
13个视频4篇阅读材料4个作业
Define how to build ethical, transparent, and compliant AI systems for customer service. Learn best practices for bias prevention, cultural sensitivity, and AI explainability using Claude. Explore global data privacy frameworks like GDPR and CCPA, and use Replit to analyze and monitor compliance workflows. Develop strategies for human oversight, AI audits, and responsible decision-making in automated environments.
涵盖的内容
14个视频3篇阅读材料3个作业
This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz.
涵盖的内容
1个视频1篇阅读材料2个作业1个讨论话题
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
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状态:预览
状态:免费试用
状态:免费试用
状态:免费试用University of Virginia Darden School Foundation
人们为什么选择 Coursera 来帮助自己实现职业发展




常见问题
This course explores how AI transforms customer service by combining strategic planning, automation design, and ethical implementation. You’ll learn how to use AI to streamline workflows, personalize engagement, and enhance customer satisfaction. Through hands-on projects with tools like Miro AI, Notion AI, Zapier, and Flowise, you’ll design intelligent, data-driven service systems ready for real-world deployment.
This course is ideal for customer service professionals, support team leads, operations managers, and automation specialists who want to integrate AI into their service strategy. It’s also valuable for CX consultants and business leaders aiming to improve operational efficiency and implement AI responsibly within their organizations.
No technical or AI background is required. The course follows a practical, no-code approach, walking you through automation workflows step-by-step. All demonstrations use accessible tools like Zapier, Notion AI, and Flowise, making it suitable for learners from both technical and non-technical backgrounds.
更多问题
提供助学金,
¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。





