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

What you'll learn

Skills you'll gain

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

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

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

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

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

Branding, Customer Acquisition Management, Marketing Channel, Marketing Analytics, Brand Management, Lead Generation, Customer Insights, Brand Strategy, Target Audience, Campaign Management, Marketing, and Customer Engagement
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, Prompt Engineering, Operational Efficiency, Automation, Personalized Service, Email Automation, Customer Support, AI Personalization, Customer experience improvement, and Product Support

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

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, Self Service Technologies, Web Content, User Interface (UI), Artificial Intelligence, Customer Support, ChatGPT, Quality Assurance, and Generative AI

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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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