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URL: https://www.coursera.org/learn/generative-ai-for-customer-service-automation

⇱ Generative AI for Customer Service Automation | Coursera


Generative AI for Customer Service Automation

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Generative AI for Customer Service Automation

Instructor: Edureka

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

Details to know

Shareable certificate

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Assessments

12 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Mastering Generative AI for Customer Service Excellence Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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.

You’ll begin by understanding how AI aligns with business goals through strategic planning, customer journey mapping, and ROI measurement using tools like Miro AI and Notion AI. Next, you’ll move into no-code AI automation, learning to build and manage workflows for onboarding, feedback, and complaint resolution with Zapier and Flowise. Finally, you’ll explore ethical and privacy-first AI practices, using Claude and Replit to ensure transparency, fairness, and compliance in AI-driven interactions. By the end of this course, you will be able to: - Explain how AI supports strategic customer service planning and relationship management. - Build automated workflows using no-code AI tools to enhance customer engagement and efficiency. - Apply ethical AI principles to ensure fairness, transparency, and data privacy in automation. - Design a comprehensive AI-driven customer service transformation strategy. This course is designed for customer service managers, automation specialists, and business leaders seeking to integrate AI into customer operations. A basic understanding of service workflows or digital tools will help you get the most from the course. Join us to master the art of AI-powered customer service automation—where intelligent systems, human insight, and ethical design come together to create exceptional customer experiences.

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.

What's included

11 videos4 readings3 assignments

11 videosTotal 68 minutes
  • Specialization Introduction7 minutes
  • Course Introduction6 minutes
  • Aligning AI with Customer Service Strategy7 minutes
  • AI for Customer Journey Mapping6 minutes
  • AI for Proactive Customer Engagement6 minutes
  • AI ROI Planning and Measurement6 minutes
  • Demonstration: Customer Service Strategy Blueprint with Miro AI6 minutes
  • AI for Customer Lifetime Value Optimization6 minutes
  • AI in Customer Retention Strategies5 minutes
  • AI for Customer Segmentation and Personalization6 minutes
  • Demonstration: Creating a Strategic AI Implementation Plan in Notion AI7 minutes
4 readingsTotal 60 minutes
  • Course Overview15 minutes
  • Strategic AI in Customer Service15 minutes
  • AI in Customer Relationship Management15 minutes
  • Module Summary: AI for Strategic Customer Service Planning15 minutes
3 assignmentsTotal 42 minutes
  • Knowledge Check: AI for Strategic Customer Service Planning30 minutes
  • Practice Assignment: AI for Strategic Customer Service Planning6 minutes
  • Practice Assignment: AI in Customer Relationship Management6 minutes

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.

What's included

13 videos4 readings4 assignments

13 videosTotal 74 minutes
  • What are No-Code AI Platforms?6 minutes
  • No-Code AI in Customer Service Automation5 minutes
  • Popular No-Code Platforms for Customer Service5 minutes
  • Benefits of No-Code AI Workflows6 minutes
  • Demonstration: Automating Customer Feedback Responses with Zapier7 minutes
  • Demonstration: Enhancing Automated Workflows with Formatter and AI by Zapier7 minutes
  • Automating Customer Onboarding Workflows6 minutes
  • Automating Complaint Resolution Processes5 minutes
  • Integrating AI with CRM and Helpdesk Systems6 minutes
  • Demonstration: Performing Sentiment Analysis on Customer Feedback via Zapier4 minutes
  • Monitoring Workflow Performance5 minutes
  • Troubleshooting Common Automation Issues5 minutes
  • Demonstration: Building an AI-Powered Customer Query Agent with Flowise6 minutes
4 readingsTotal 60 minutes
  • No-Code AI Tools for Customer Service15 minutes
  • Best Practices for Customer Service Automation15 minutes
  • Optimizing No-Code AI Workflows15 minutes
  • Module Summary: No-Code AI Automation and Workflow Design15 minutes
4 assignmentsTotal 48 minutes
  • Knowledge Check: No-Code AI Automation and Workflow Design30 minutes
  • Practice Assignment: Introduction to No-Code AI Platforms6 minutes
  • Practice Assignment: Building Advanced Customer Service Automations6 minutes
  • Practice Assignment: Optimizing and Managing AI Workflows6 minutes

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.

What's included

14 videos3 readings3 assignments

14 videosTotal 77 minutes
  • Ethics in AI-Driven Customer Service7 minutes
  • Bias Prevention in Customer Service AI5 minutes
  • Cultural Sensitivity and AI in Customer Service5 minutes
  • Transparency and Explainability5 minutes
  • AI versus Human Decision Making6 minutes
  • Demonstration: Implementing Ethical AI Guidelines using Claude6 minutes
  • Customer Data Privacy in AI Systems6 minutes
  • GDPR, CCPA, and AI Compliance6 minutes
  • Data Security in AI Customer Service5 minutes
  • AI Audit and Governance Frameworks6 minutes
  • Customer Consent and AI Transparency5 minutes
  • Introduction to Replit5 minutes
  • Demonstration: Sales Data Analyser Using Replit6 minutes
  • Incident Response for AI Systems5 minutes
3 readingsTotal 45 minutes
  • Ethical AI Guidelines for Customer Service15 minutes
  • Data Privacy Regulations for AI Customer Service15 minutes
  • Module Summary: Ethics, Privacy, and Responsible AI in Customer Service15 minutes
3 assignmentsTotal 42 minutes
  • Knowledge Check: Ethics, Privacy, and Responsible AI in Customer Service30 minutes
  • Practice Assignment: Ethical AI in Customer Service6 minutes
  • Practice Assignment: Data Privacy and Compliance6 minutes

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.

What's included

1 video1 reading2 assignments1 discussion prompt

1 videoTotal 3 minutes
  • Course Summary3 minutes
1 readingTotal 30 minutes
  • Practice Project: Building an AI-Driven Customer Experience Hub30 minutes
2 assignmentsTotal 60 minutes
  • End Course Knowledge Check: Strategic AI for Customer Experience Automation30 minutes
  • Designing an AI-Driven Customer Service Automation Strategy30 minutes
1 discussion promptTotal 5 minutes
  • Describe Your Learning Journey5 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Edureka
203 Courses185,724 learners

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Frequently asked questions

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.

You’ll gain skills to design, build, and manage AI-powered customer service workflows that automate repetitive tasks, optimize communication, and measure performance. You’ll also learn to plan AI strategies, assess ROI, and implement ethical standards for fairness, data privacy, and human oversight.

Yes. Every module includes guided demos and practice projects where you’ll apply what you learn to realistic customer service scenarios. You’ll build an AI strategy map in Miro AI, create a Notion AI-based service plan, and develop Zapier and Flowise automations for handling tickets, customer feedback, and sentiment analysis.

You’ll get hands-on experience with industry-relevant tools:

Miro AI for customer journey and strategy mapping.

Notion AI for documentation, planning, and collaboration.

Zapier for automating service tasks like ticket updates and notifications.

Flowise for creating AI-powered chat or query agents.

Claude for ethical AI guideline generation.

Replit for sales data analyzing.

The course takes approximately 3–4 weeks to complete at a pace of 4–5 hours per week. It includes short instructional videos, readings, guided demos, and scenario-based assignments that you can complete flexibly at your own pace.

You can enroll individually or as part of the Mastering Generative AI for Customer Service Excellence, which covers communication, workflow automation, and customer engagement design. Taking the full specialization provides a more comprehensive path toward mastering AI in service operations.

Yes. Upon successfully completing all lessons, demos, and graded assignments, you’ll receive a Coursera Certificate of Completion. This validates your ability to design and implement AI-powered service workflows—an asset you can share with employers or on LinkedIn to showcase your applied expertise.

Unlike introductory courses that focus on basic AI or prompt design, this course emphasizes real-world implementation. You’ll move from theoretical understanding to designing actionable workflows, integrating AI tools, and applying ethical frameworks for responsible automation.

You’ll learn automation by doing. Using Zapier and Flowise, you’ll build end-to-end customer workflows that handle inquiries, route tickets, analyze feedback, and send AI-generated responses—all without writing a single line of code.

You’ll learn to evaluate how AI impacts customer experience and business outcomes. Lessons on AI ROI planning and measurement teach you how to track metrics like resolution time, satisfaction scores, and automation efficiency to prove the value of your AI investments.

Absolutely. You’ll gain hands-on expertise in AI strategy, workflow automation, and ethics—skills in high demand across industries. Graduates are well-prepared for roles such as AI Service Specialist, CX Automation Analyst, or AI Operations Consultant, and can confidently lead AI transformation initiatives within customer experience teams.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.