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

Access provided by REBOOT

Get in-depth knowledge of a subject
4.4

(5 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
4.4

(5 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

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Taught in English
Recently updated!

September 2025

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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

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

What you'll learn

Skills you'll gain

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

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

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

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

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

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

Category: Branding
Category: Customer Acquisition Management
Category: Customer Engagement
Category: Campaign Management
Category: Target Audience
Category: Marketing Channel
Category: Marketing
Category: Marketing Analytics
Category: Brand Management
Category: Customer Insights
Category: Lead Generation
Category: Brand Strategy
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

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

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

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

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Instructors

Hector Sandoval
Coursera Instructor Network
10 Courses121,095 learners
Marta Sotto-Mayor
8 Courses33,948 learners
Starweaver
Coursera Instructor Network
446 Courses817,128 learners

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