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.

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Generative AI for Customer Service Automation
This course is part of Mastering Generative AI for Customer Service Excellence Specialization

Instructor: Edureka
Included with 
Recommended experience
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.
Skills you'll gain
- Ethical Standards And Conduct
- Customer Analysis
- No-Code Development
- Agentic systems
- Customer Data Management
- Customer Communications Management
- Customer Support
- Automation
- Workflow Management
- Generative AI
- Customer experience improvement
- Responsible AI
- Artificial Intelligence
- Data Ethics
- Customer Service
- Customer Engagement
- Business Process Automation
- Email Automation
- Customer and Client Support
- Customer Relationship Management (CRM) Software
Details to know

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November 2025
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There are 4 modules in this course
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
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
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
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
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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.
More questions
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.

