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Il y a 4 modules dans ce cours
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.
Inclus
11 vidéos4 lectures3 devoirs
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11 vidéos•Total 68 minutes
Specialization Introduction•7 minutes
Course Introduction•6 minutes
Aligning AI with Customer Service Strategy•7 minutes
AI for Customer Journey Mapping•6 minutes
AI for Proactive Customer Engagement•6 minutes
AI ROI Planning and Measurement•6 minutes
Demonstration: Customer Service Strategy Blueprint with Miro AI•6 minutes
AI for Customer Lifetime Value Optimization•6 minutes
AI in Customer Retention Strategies•5 minutes
AI for Customer Segmentation and Personalization•6 minutes
Demonstration: Creating a Strategic AI Implementation Plan in Notion AI•7 minutes
4 lectures•Total 60 minutes
Course Overview•15 minutes
Strategic AI in Customer Service•15 minutes
AI in Customer Relationship Management•15 minutes
Module Summary: AI for Strategic Customer Service Planning•15 minutes
3 devoirs•Total 42 minutes
Practice Assignment: AI for Strategic Customer Service Planning•6 minutes
Practice Assignment: AI in Customer Relationship Management•6 minutes
Knowledge Check: AI for Strategic Customer Service Planning•30 minutes
No-Code AI Automation and Workflow Design
Module 2•3 heures à terminer
Détails du module
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.
Inclus
13 vidéos4 lectures4 devoirs
Afficher les informations sur le contenu du module
13 vidéos•Total 74 minutes
What are No-Code AI Platforms?•6 minutes
No-Code AI in Customer Service Automation•5 minutes
Popular No-Code Platforms for Customer Service•5 minutes
Benefits of No-Code AI Workflows•6 minutes
Demonstration: Automating Customer Feedback Responses with Zapier•7 minutes
Demonstration: Enhancing Automated Workflows with Formatter and AI by Zapier•7 minutes
Integrating AI with CRM and Helpdesk Systems•6 minutes
Demonstration: Performing Sentiment Analysis on Customer Feedback via Zapier•4 minutes
Monitoring Workflow Performance•5 minutes
Troubleshooting Common Automation Issues•5 minutes
Demonstration: Building an AI-Powered Customer Query Agent with Flowise•6 minutes
4 lectures•Total 60 minutes
No-Code AI Tools for Customer Service•15 minutes
Best Practices for Customer Service Automation•15 minutes
Optimizing No-Code AI Workflows•15 minutes
Module Summary: No-Code AI Automation and Workflow Design•15 minutes
4 devoirs•Total 48 minutes
Practice Assignment: Introduction to No-Code AI Platforms•6 minutes
Practice Assignment: Building Advanced Customer Service Automations•6 minutes
Practice Assignment: Optimizing and Managing AI Workflows•6 minutes
Knowledge Check: No-Code AI Automation and Workflow Design•30 minutes
Ethics, Privacy, and Responsible AI in Customer Service
Module 3•3 heures à terminer
Détails du module
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.
Inclus
14 vidéos3 lectures3 devoirs
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14 vidéos•Total 77 minutes
Ethics in AI-Driven Customer Service•7 minutes
Bias Prevention in Customer Service AI•5 minutes
Cultural Sensitivity and AI in Customer Service•5 minutes
Transparency and Explainability•5 minutes
AI versus Human Decision Making•6 minutes
Demonstration: Implementing Ethical AI Guidelines using Claude•6 minutes
Customer Data Privacy in AI Systems•6 minutes
GDPR, CCPA, and AI Compliance•6 minutes
Data Security in AI Customer Service•5 minutes
AI Audit and Governance Frameworks•6 minutes
Customer Consent and AI Transparency•5 minutes
Introduction to Replit•5 minutes
Demonstration: Sales Data Analyser Using Replit•6 minutes
Incident Response for AI Systems•5 minutes
3 lectures•Total 45 minutes
Ethical AI Guidelines for Customer Service•15 minutes
Data Privacy Regulations for AI Customer Service•15 minutes
Module Summary: Ethics, Privacy, and Responsible AI in Customer Service•15 minutes
3 devoirs•Total 42 minutes
Practice Assignment: Ethical AI in Customer Service•6 minutes
Practice Assignment: Data Privacy and Compliance•6 minutes
Knowledge Check: Ethics, Privacy, and Responsible AI in Customer Service•30 minutes
Course Wrap-Up and Assessment
Module 4•2 heures à terminer
Détails du module
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.
Inclus
1 vidéo1 lecture2 devoirs1 sujet de discussion
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1 vidéo•Total 3 minutes
Course Summary•3 minutes
1 lecture•Total 30 minutes
Practice Project: Building an AI-Driven Customer Experience Hub•30 minutes
2 devoirs•Total 60 minutes
End Course Knowledge Check: Strategic AI for Customer Experience Automation•30 minutes
Designing an AI-Driven Customer Service Automation Strategy•30 minutes
1 sujet de discussion•Total 5 minutes
Describe Your Learning Journey•5 minutes
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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.
Who should take this course?
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.
Are there any prerequisites for this course?
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.
What practical skills will I gain from this course?
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.
Will I work on hands-on projects?
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.
What tools and frameworks are used in this course?
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.
How long does it take to complete the course?
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.
Can I take this course individually or as part of a specialization?
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.
Will I receive a certificate upon completion?
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.
How does this course differ from previous courses?
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.
How does this course teach AI workflow 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.
How does this course help measure ROI of AI initiatives?
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.
Can this course help advance my career in AI-driven customer service?
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.
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
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.