Overview
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Transform customer success through AI integration in this comprehensive program covering Voice of Customer practices, generative AI applications, retention strategies, and automated support systems. Learn to leverage cutting-edge technologies like ChatGPT, Claude, and custom AI models to enhance customer experiences, streamline operations, and drive measurable business outcomes through hands-on projects and real-world applications.
Syllabus
- Course 1: Voice of the Customer (VoC): Enhancing Experiences
- Course 2: GenerativeAI for Customer Success
- Course 3: Improving Customer Retention
- Course 4: AI for Customer Experience with Chatbots and Analytics
- Course 5: Fundamentals of Customer Acquisition Management
- Course 6: GenAI for Customer Support
- Course 7: GenAI for Customer Service Teams
- Course 8: Designing a Customer Support Chatbot Using Flowise
Courses
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In today's rapidly evolving global and personalized marketplaces, delivering exceptional customer experiences is no longer a one-time transaction but a continuous process. To thrive in this dynamic landscape, organizations must harness the power of the Voice of the Customer (VoC) – a practice that involves actively listening to customers to understand their preferences, needs, and feedback. This course equips participants with the tools, methods, and strategies to not only collect valuable customer insights but also to cultivate a customer-centric culture within their organizations. By examining real-world case studies and examples from industry leaders like JetBlue, Zappos, and Amazon, participants will learn how VoC practices can drive improvements in customer satisfaction, decision-making, and product/service development. Participants in this course will gain a comprehensive understanding of VoC principles and their role in enhancing customer engagement. They will learn essential skills, including customer-centric decision-making, effective communication, and data collection and analysis. By diversifying customer engagement channels and actively seeking customer feedback, organizations can better align their products, services, and brands with their customer segments, ultimately leading to increased loyalty and success in a highly competitive market. Moreover, this course emphasizes the importance of fostering a customer-centric culture, where collaboration, transparency, and openness are integral values, enabling organizations to connect deeply with their customers and drive continuous improvement. This course is tailored for team leaders, supervisors, and managers responsible for individuals and teams, as well as professionals in HR, Labor Relations, and Learning and Development functions. It assumes a basic knowledge of marketing, brands, and customer service and is suitable for staff and managers involved in product and service design, development, sales, and service. Upon completing this course, participants will be able to analyze key concepts, benefits, and frameworks of the VoC practice. They will also identify and evaluate core customer feedback collection methods and data. Additionally, participants will gain the skills to apply VoC principles within their organizations to improve collaboration, decision-making, and continuous improvement. The course includes assessments such as in-video questions, practice quizzes, and a graded assessment to validate participants' learning outcomes and understanding of VoC and customer-centric culture principles.
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Did you know you can create a code-free chatbot, similar to ChatGPT, without writing a single line of code? This one-hour course is for those interested in building fully functional chatbots that are trained on specific website data without coding. Learn to use flowise.ai to build a chatbot without a single line of code. The hands-on experience includes setting up a flowise.ai account, interacting with the platform, and building the chatbot. This unique project allows you to the power of advanced AI models to build chatbots. Just make sure that you have Flowise.ai installed on your system. To make the most of this course, it is best, but not mandatory, to have a background in CRM.
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This course provides a comprehensive understanding of the strategies and practices that drive client retention and transform customers into loyal advocates. It covers the foundational concepts of customer retention, loyalty programs, customer satisfaction, marketing strategies, CRM, customer service, feedback analysis, consumer behavior, brand loyalty, and retention tactics. This course caters to team leaders, supervisors, and managers responsible for individuals and teams, as well as professionals in marketing, customer service, CRM, business owners, and brand coordinators. Whether overseeing teams or directly involved in marketing and customer service functions, individuals in these roles will benefit from gaining insights into enhancing customer retention strategies. Participants should have a basic understanding of marketing concepts and familiarity with CRM systems to engage effectively with the course material. An understanding of customer service principles is also beneficial for comprehending strategies aimed at improving customer satisfaction. Moreover, an interest in consumer behavior and its impact on business is essential for gaining a comprehensive understanding of the topics covered. Upon completing this course, learners will be equipped to identify the key factors influencing customer retention and apply best practices in customer service to enhance customer satisfaction. They will also gain the ability to evaluate consumer behavior effectively to inform retention strategies and apply feedback analysis techniques to improve retention tactics.
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"GenAI for Customer Service Teams" is an introductory course designed to bridge the gap between generative AI (GenAI) technologies and customer service practices. This course demystifies GenAI, making it accessible for customer service professionals to enhance team coordination, automate tasks, and improve customer interactions. Through engaging content and practical applications, learners will gain a solid foundation in how GenAI can revolutionize customer service operations and enhance customer satisfaction. This course is tailored to customer service team leaders, including Customer Service Managers, Team Leads, and Senior Customer Service Representatives, aiming to enhance leadership skills and drive GenAI adoption. It is also valuable for individuals entering the customer service field with a focus on AI technologies, as well as IT Professionals and Software Engineers interested in cross-disciplinary innovation in customer service. Learners should have a fundamental understanding of customer service principles and strategies, along with an eagerness to learn and adapt to new technologies. While a deep technical background is not required, an openness to integrating GenAI tools into customer service workflows will be beneficial. Throughout this course, learners will gain a basic understanding of GenAI tools and strategies to enhance team collaboration and efficiency. They will learn to integrate GenAI technologies into customer service operations, automate tasks, and stay updated on advancements. Additionally, learners will apply GenAI in real-world scenarios, navigate ethical and legal implications, and ensure responsible AI implementation in customer service practices.
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Designed for beginners, this course bridges foundational theories with actionable strategies, enabling learners to navigate the complexities of attracting and retaining customers in today's dynamic market. Participants will explore various acquisition channels, the crucial role of branding and data, and the science behind measuring and refining acquisition efforts. Through theoretical insights and real-world case studies, this course equips learners with the skills to craft effective acquisition strategies, leverage branding for market advantage, and utilize analytics for informed decision-making across different channels. This course targets Marketing Coordinators, Brand Managers, Small Business Owners, Digital Marketers, and Start-up Founders seeking to deepen their understanding of customer acquisition strategies. These professionals, responsible for brand presence, customer engagement, and growth, will gain practical insights through real-world applications and case studies, enabling them to enhance brand loyalty and engagement immediately. Participants should have a basic understanding of marketing concepts and an eagerness to expand their knowledge of branding and digital marketing avenues. While no prior detailed knowledge of customer acquisition is necessary, an interest in exploring new strategies and tools for engaging customers is essential. The course is designed to build on foundational marketing knowledge and guide learners through more advanced techniques and practices, making it suitable for those looking to take their marketing skills to the next level. By the end of this course, participants will explore the fundamentals of customer acquisition and understand its strategic importance in building strong relationships with their audiences. They will examine key branding principles and their impact on customer engagement throughout the marketing funnel. Additionally, learners will analyze successful customer acquisition cases from various industries, gaining insights into effective strategies. The course will also equip participants with analytical tools to measure and enhance their acquisition efforts, enabling them to apply these techniques to their own marketing campaigns for improved results.
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Did you know that companies using Generative AI in customer success see a significant improvement in customer satisfaction and operational efficiency? Discover how you can leverage this technology to transform your customer success strategies. This short course empowers customer success professionals and managers to enhance their strategies using Generative AI (GenAI) technologies. By completing this course, you'll be able to apply advanced GenAI tools to streamline your customer support processes, improve customer engagement, and increase overall employee satisfaction the very next day at work. By the end of this course, you will be able to: 1.Explain how GenAI can be used to improve customer success processes in your organization. 2.Resolve ethical and data privacy challenges when using GenAI in customer success strategies. 3.Create a plan to integrate GenAI into your customer success operations. This course is unique because it combines theoretical insights with practical applications, including real-world examples and case studies, to provide a comprehensive understanding of GenAI in customer success. To be successful in this course, you should have a background in customer success, customer service, or a related field, and a basic understanding of AI technologies.
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In this course, you'll discover how cutting-edge Generative AI tools can transform customer service by delivering faster, more accurate, and personalized support. Imagine a scenario where you can analyze a customer's history, detect an issue, and propose a solution in real-time—all in the blink of an eye. Generative AI empowers customer service teams to automate routine tasks, enhance efficiency, and focus on high-value interactions, ultimately driving up customer satisfaction. With hands-on projects and practical examples, this course will equip you with the skills to master AI-based support automation in a variety of customer service contexts. This course is ideal for Customer Service and Support professionals eager to embrace AI tools that can improve response times, automate repetitive tasks, and add value to customer interactions. No previous experience with AI is necessary; all you need is a drive to enhance your skills and improve your support outcomes. Participants should have basic computer proficiency to ensure they can comfortably navigate AI tools, set up projects, and experiment with AI-enhanced workflows. With this foundational knowledge, you’ll be ready to dive into practical, real-world applications of Generative AI. By the end of this course, participants will have a strong foundation in Generative AI essentials, mastery of prompt engineering techniques, and practical experience with leading AI tools for customer service. Learners will be able to create custom AI models, automate responses in email support, and apply visual analysis for detecting defects—ultimately enhancing productivity and elevating customer satisfaction in their roles.
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Customer engagement leaders and visionaries! Ready to harness AI’s transformative power to elevate customer experiences? On this learning journey, discover how to future-proof your CX strategy. Gartner predicts 75% of customer service interactions will be AI-driven by 2025—and early adopters already see 30% faster resolution times. Lagging behind? This is your wake-up call! Forget empty buzzwords: This actionable crash course cuts through the noise, focusing on practical AI tools reshaping CX. Dive into real-world case studies and hands-on techniques for: 1. Hyper-personalization: Craft tailored campaigns that boost loyalty. 2. Smart chatbots: Deploy , Claude, and Gemini GEM for conversational engagement. 3. Predictive analytics: Anticipate Customer behavior patterns using Deepseek, Perplexity AI and Anthropic Claude. Learn to ethically implement AI-driven workflows, measure ROI, and avoid common pitfalls. Walk away with a toolkit to: ✅ Design AI-enhanced customer journeys. ✅ Automate repetitive tasks without losing the human touch. ✅ Turn data into proactive, predictive engagement. This course is tailored for business professionals who may not have a technical background but are passionate about leveraging AI to enhance customer experiences. It is ideal for Customer Experience (CX) professionals, Digital Transformation Leaders, Marketing Executives, Entrepreneurs, and Customer Service Managers who want to stay ahead in an AI-driven landscape. Whether you're leading strategy or on the front lines of customer engagement, this course empowers you to integrate AI into your workflows to drive innovation and measurable business outcomes. Participants are expected to have a basic understanding of customer engagement processes and common industry terminology. No programming or technical expertise is required, making the course accessible to a broad range of professionals. The content is designed to bridge the gap between strategic business goals and practical AI applications, ensuring all learners can comfortably apply the concepts regardless of their technical proficiency. By the end of the course, learners will be able to identify where AI can be effectively used to enhance customer experience across touchpoints. They will be equipped to analyze the role of personalization, chatbots, and predictive analytics in driving customer engagement. Additionally, participants will gain the skills to design AI-driven customer strategies using tools like Perplexity AI, Claude, and Google Gemini GEM, while also understanding how to evaluate ethical implications and create responsible AI adoption guidelines.
Taught by
Amit Kooner, Hector Sandoval, Manas Dasgupta, Marta Sotto-Mayor, Starweaver, Vanesa Robles and Vinita Silaparasetty