Coursera

AI-Powered Customer Success Specialization

Coursera

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 Association

3,500 already enrolled

Get in-depth knowledge of a subject

from 331 reviews of courses in this program

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

from 331 reviews of courses in this program

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

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Specialization - 8 course series

Voice of the Customer (VoC): Enhancing Experiences

Voice of the Customer (VoC): Enhancing Experiences

Course 1, 4 hours

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: Continuous Improvement Process
Category: Customer experience improvement
Category: Data Collection
Category: Customer Insights
Category: Service Improvement
Category: Surveys
Category: Communication
Category: Culture Transformation
Category: Customer Service
Category: Customer Analysis
Category: Product Improvement
Category: Customer Engagement
Category: Case Studies
Category: User Feedback
Category: Customer experience strategy (CX)
GenerativeAI for Customer Success

GenerativeAI for Customer Success

Course 2, 2 hours

What you'll learn

Skills you'll gain

Category: AI Integrations
Category: Customer Success Management
Category: AI Personalization
Category: Customer Support
Category: Customer Engagement
Category: Generative AI Agents
Category: AI Enablement
Category: Data Ethics
Category: Information Privacy
Category: Business Priorities
Category: Customer Service
Category: Customer experience improvement
Category: Automation
Category: Business Ethics
Improving Customer Retention

Improving Customer Retention

Course 3, 2 hours

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: Customer Retention
Category: Consumer Behaviour
Category: Customer Service
Category: Customer Relationship Management
Category: Customer experience improvement
Category: Loyalty Programs
Category: Marketing Strategy and Techniques
Category: Brand Loyalty
Category: Customer Advocacy
Category: Marketing Strategies
Category: Customer Relationship Building
Category: Customer Engagement
Category: User Feedback
Category: Customer Relationship Management (CRM) Software
Category: Service Improvement

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: Customer experience improvement
Category: Business Process Automation
Category: Brand Loyalty
Category: Google Gemini
Category: Anthropic Claude
Category: Customer Service
Category: Agentic Workflows
Category: LLM Application
Category: Artificial Intelligence
Category: Customer Engagement
Category: Customer experience strategy (CX)
Category: Customer Insights
Category: Responsible AI
Category: Driving engagement
Category: Generative AI Agents
Category: Personalized Campaigns
Category: Predictive Analytics
Fundamentals of Customer Acquisition Management

Fundamentals of Customer Acquisition Management

Course 5, 2 hours

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: Marketing Analytics
Category: Target Audience
Category: Campaign Management
Category: Customer Engagement
Category: Performance Measurement
Category: Marketing
Category: Brand Management
Category: Customer Relationship Building
Category: Brand Loyalty
Category: Brand Marketing
Category: Data-Driven Marketing
Category: Customer Insights
Category: Marketing Channel
GenAI for Customer Support

GenAI for Customer Support

Course 6, 3 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: AI Personalization
Category: Generative AI
Category: Product Support
Category: Personalized Service
Category: Customer experience improvement
Category: Automation
Category: Multimodal Prompts
Category: Prompt Engineering
Category: Customer Service
Category: Customer Support
Category: Prompt Engineering Tools
Category: Email Automation
Category: Operational Efficiency
GenAI for Customer Service Teams

GenAI for Customer Service Teams

Course 7, 2 hours

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: Automation
Category: Customer Data Management
Category: Data Ethics
Category: Business Ethics
Category: AI Enablement
Category: Information Privacy
Category: Responsible AI
Category: Team Building
Category: Customer Engagement
Category: Cross-Functional Collaboration
Category: Customer Service
Category: Customer experience improvement
Designing a Customer Support Chatbot Using Flowise

Designing a Customer Support Chatbot Using Flowise

Course 8, 2 hours

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: AI Integrations
Category: Embeddings
Category: Frontend Integration
Category: AI Workflows
Category: ChatGPT
Category: Quality Assurance
Category: Generative AI
Category: Self Service Technologies
Category: Artificial Intelligence
Category: User Interface (UI)

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Instructors

Hector Sandoval
Coursera
11 Courses141,716 learners
Marta Sotto-Mayor
8 Courses46,110 learners
Starweaver
Coursera
560 Courses1,106,102 learners

Offered by

Coursera

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