AI for Customer Service

Wouldn't it be great if you had a personal assistant at work to help you with tasks like summarizing meeting notes or creating reports? Begin this course by exploring how AI can be employed as a personal assistant to manage various tasks, enhance efficiency and free up time for more creative work. You will investigate specific AI use cases to help streamline and improve the quality of work. Then, you will find out how to simplify complex jargon and transform disorganized meeting notes into actionable items with generative AI (GenAI). Take a look at how large language models (LLMs) are trained, in order to get a better idea of how AI works and mitigate the risk of hallucinations as output. Next, you will discover the wider world of AI, going beyond LLMs into the types of GenAI, multimedia GenAI, robotics and reinforcement learning. Finally, you will focus on the practical concepts, techniques, and technologies for effectively collaborating with AI.

Responsible and effective use of AI is based on a set of principles and practices designed to integrate AI into organizational workflows while maintaining ethical standards and mitigating risks. In this course, you will explore the strategic integration of AI in your organization. First, you will dive into the principles of responsible and effective AI use and learn about ethical guidelines for AI implementation. Next, you will identify and mitigate business risks associated with AI, ensuring safe and efficient AI operations. You will also develop strategies to advocate for and innovate with AI, enhancing your role as a leader in the evolving digital landscape. Finally, you will understand how to leverage AI to drive productivity and innovation while maintaining ethical standards and managing potential risks.

AI is transforming customer service by enabling personalized, efficient, and responsive customer interactions. In this course, you will explore the transformative impact of AI on customer service operations, enhancing both customer satisfaction and agent productivity. You will also learn about the diverse applications of generative AI (GenAI), including automated responses, sentiment analysis enhancement, and multilingual support, and how these technologies ensure consistent and high-quality customer experiences across various communication channels. The course also addresses the ethical implications and potential risks of using AI, providing strategies for data privacy, bias mitigation, and maintaining transparency. Additionally, you will examine emerging trends such as emotion recognition and the integration of AI with virtual and augmented reality to stay ahead in the evolving landscape of customer service. By the end of this course, you will be equipped to maximize customer service with AI, making data-driven decisions and creating delightful customer experiences.