Coursera Instructor Network
AI-Powered Customer Success Specialization
Coursera Instructor Network

AI-Powered Customer Success Specialization

AI-Enhanced Customer Success Excellence. Learn AI tools and strategies to revolutionize customer experience and drive business growth.

Hector Sandoval
Marta Sotto-Mayor
Starweaver

Instructors: Hector Sandoval

Included with Coursera Plus

Get in-depth knowledge of a subject
4.6

(9 reviews)

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(9 reviews)

Intermediate level

Recommended experience

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

What you'll learn

  • Implement AI-powered tools to enhance customer experience and automate support processes effectively

  • Develop comprehensive customer success strategies using voice of customer insights and retention tactics

  • Create and deploy custom AI solutions including chatbots and predictive analytics for business growth

Details to know

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Taught in English
Recently updated!

September 2025

11 practice exercises

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Specialization - 8 course series

What you'll learn

  • Analyze key concepts, benefits and frameworks of the VoC practice

  • Identify and analyze core customer feedback collection methods and data

  • Apply VoC principles in the organization to improve collaboration, decision making and continuous improvement

Skills you'll gain

Customer Insights, Continuous Improvement Process, Active Listening, Customer Analysis, Surveys, Customer experience strategy (CX), Market Research, Customer Engagement, Data-Driven Decision-Making, Data Collection, User Feedback, Customer Service, and Focus Group

What you'll learn

Skills you'll gain

AI Personalization, Client Support, Customer Success Management, Business Ethics, Systems Integration, Customer Engagement, Generative AI Agents, Business Process Automation, Customer Service, Personalized Service, Customer experience improvement, LLM Application, and Information Privacy

What you'll learn

  • Identify the key factors that influence customer retention.

  • Apply customer service best practices to enhance customer satisfaction.

  • Evaluate consumer behavior to improve retention strategies.

  • Apply feedback analysis and understand consumer behavior to improve retention tactics.

Skills you'll gain

Consumer Behaviour, Customer Service, Customer Relationship Management, Marketing Strategies, Customer Retention, User Feedback, Brand Loyalty, Customer experience improvement, Personalized Service, Customer Analysis, Service Improvement, Customer Engagement, and Loyalty Programs

What you'll learn

  • Identify the potential applications of AI technologies in enhancing customer experience.

  • Analyze the impact of personalization, chatbots, and predictive analytics on customer engagement.

  • Design and implement AI-driven strategies for improving customer interactions using tools like Perplexity AI, Claude, and Google Gemini GEM.

  • Evaluate ethical considerations and construct guidelines for responsible AI adoption in customer experience initiatives.

Skills you'll gain

Generative AI, Customer Engagement, Data-Driven Decision-Making, Responsible AI, Return On Investment, Customer Service, Customer Insights, Google Gemini, Personalized Service, Anthropic Claude, Customer experience strategy (CX), Artificial Intelligence, and Predictive Analytics

What you'll learn

  • Explore customer acquisition fundamentals and their strategic importance in creating a relationship with their audiences.

  • Examine branding principles and their impact on customer engagement across the marketing funnel.

  • Analyze successful customer acquisition cases across industries.

  • Apply analytical tools to measure and enhance acquisition efforts.

Skills you'll gain

Customer Acquisition Management, Branding, Target Audience, Marketing, Brand Strategy, Customer Engagement, Marketing Analytics, Campaign Management, Marketing Channel, Lead Generation, Brand Management, and Customer Insights
GenAI for Customer Support

GenAI for Customer Support

Course 63 hours

What you'll learn

  • Apply Generative AI including effective Prompt engineering in customer service tasks.

  • Create a custom GPT model using customer service data to generate personalized responses to support tickets.

  • Integrate a Google Gem with Gmail to automate and enhance email-based customer support.

  • Implement an Anthropic project for AI-powered visual analysis to detect product defects and generate recommendations.

Skills you'll gain

Generative AI, AI Personalization, Product Support, Prompt Engineering, Personalized Service, Automation, Customer Support, Operational Efficiency, Customer experience improvement, and Email Automation

What you'll learn

  • Acquire a basic understanding of GenAI and available GenAI tools and strategies for increasing team collaboration and efficiency.

  • Create a working framework for staying ahead of GenAI advancements.

  • Apply GenAI tools practically in real-world customer service scenarios to improve outcomes.

Skills you'll gain

Generative AI, Customer Service, Team Oriented, Customer experience improvement, Self Service Technologies, Cross-Functional Collaboration, Automation, Business Ethics, Customer Engagement, Artificial Intelligence, Business Process Automation, Information Privacy, and Responsible AI

What you'll learn

  • Design and implement chatbots that can handle frequently asked questions, thereby enhancing customer service.

  • Build a user interface to provide accurate responses on a specific website.

  • Embed a chatbot seamlessly into a website to quickly address customer queries.

Skills you'll gain

No-Code Development, LLM Application, Artificial Intelligence, User Interface (UI), ChatGPT, Customer Support, Self Service Technologies, Quality Assurance, Generative AI, and Web Content

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Instructors

Hector Sandoval
Coursera Instructor Network
10 Courses122,958 learners
Marta Sotto-Mayor
8 Courses34,771 learners
Starweaver
Coursera Instructor Network
448 Courses838,709 learners

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