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SkillUp and Ramesh Sannareddy

During this course, you’ll discover how GenAI can transform customer interactions and streamline support processes. You’ll learn to automate responses, create FAQs and user guides, enable multilingual support, and optimize the support lifecycle using generative AI. Plus, you’ll get hands-on using generative AI tools to craft tailored prompts for specific customer needs.

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During this course, you’ll discover how GenAI can transform customer interactions and streamline support processes. You’ll learn to automate responses, create FAQs and user guides, enable multilingual support, and optimize the support lifecycle using generative AI. Plus, you’ll get hands-on using generative AI tools to craft tailored prompts for specific customer needs.

You’ll look at how to develop and use AI-driven chatbots for inquiries and knowledge management. You’ll learn how to use GenAI to support key support processes such as Standard Operating Procedure (SOP) documentation, sentiment analysis, and proactive support through behavioral insights. In addition, you’ll examine ethical considerations, challenges, and best practices for AI integration in customer support.

Boost your customer or IT support career with in-demand generative AI skills. Enroll today to enhance your resume and stand out to employers.

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What's inside

Syllabus

Generative AI and Customer Support
This module explores the role of generative AI in enhancing customer support operations. You will learn how generative AI tools can streamline the customer support lifecycle, from ticket management and resolution to creating knowledge bases and FAQs. You will recognize the relevance of prompt engineering for effective customer interactions through generative AI and learn how to create and refine prompts for specific customer support needs. By the end of this module, you will understand how to leverage AI to automate workflows, train support agents, and improve customer service outcomes across organizations.
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Activities

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Career center

Learners who complete Generative AI: Transform Your Customer Support Career will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.
Provides a thought-provoking exploration of the future of generative AI, discussing its potential benefits and risks. It is written by Gary Marcus, a leading researcher in the field.
Explores the potential impact of generative AI on society, discussing how it could be used to solve social problems and improve quality of life. It is written by Kai-Fu Lee, a leading researcher in the field.
Explores the relationship between generative AI and the creative process, discussing how generative AI can be used to enhance creativity. It is written by Margaret Boden, a leading researcher in the field.
Explores the potential impact of generative AI on the law, discussing how it could be used to automate legal processes and improve access to justice. It is written by Ryan Abbott, a leading researcher in the field.
Provides a practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.
Explores the potential applications of generative AI in climate change, discussing how it could be used to model climate change and develop solutions. It is written by Andrew Ng, a leading researcher in the field.
Provides a business-oriented perspective on generative AI, discussing its potential impact on industries and how companies can use it to gain a competitive advantage. It is written by three leading experts in the field, Thomas Davenport, Rajeev Ronanki, and Nitin Mittal.
Explores the philosophical implications of generative AI, discussing how it challenges our understanding of mind and consciousness. It is written by Daniel C. Dennett, a leading philosopher in the field.
Explores the potential applications of generative AI in healthcare, discussing how it could be used to improve patient care and accelerate drug discovery. It is written by Eric Topol, a leading researcher in the field.
Explores the potential impact of generative AI on the economy, discussing how it could be used to create new jobs and improve productivity. It is written by two leading experts in the field, Erik Brynjolfsson and Andrew McAfee.
Provides a comprehensive guide to contact center management, covering topics such as staffing, training, and performance management.
Considered a foundational text in the field of Customer Success, this book outlines strategies for proactive customer engagement to reduce churn and drive growth, particularly relevant in subscription-based models. While Customer Success is distinct from Customer Support, this book provides crucial context on the customer lifecycle and the importance of post-sales support. It's a valuable resource for understanding the broader customer relationship landscape.
Focuses on the importance of customer effort in creating a positive customer experience. It provides insights into how to reduce customer effort and improve customer satisfaction.
Explores the relationship between customer service and profitability, and provides strategies for improving customer service and increasing revenue.
Provides a strategic framework for customer experience management, covering topics such as customer journey mapping and customer experience metrics.
Provides a practical guide to building a customer-centric culture and improving customer service.
Provides insights into the customer service practices of Nordstrom, a renowned retailer known for its exceptional customer service.
Provides a comprehensive overview of customer relationship management (CRM), covering topics such as CRM strategies, technologies, and implementation.
Practical guide to customer support, providing tips and advice on how to build strong customer relationships and resolve issues effectively.

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