Executive Development Programme in Customer Service in the AI Era
-- ViewingNowThe Executive Development Programme in Customer Service in the AI Era certificate course is a highly relevant and timely program designed to equip professionals with the skills needed to excel in today's rapidly changing customer service landscape. This course is essential for anyone looking to advance their career in customer service, as it provides a comprehensive understanding of the latest AI technologies and how they can be used to improve customer experiences.
5,112+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
ě´ ęłźě ě ëí´
100% ě¨ëźě¸
ě´ëěë íěľ
ęłľě ę°ëĽí ě¸ěŚě
LinkedIn íëĄíě ěśę°
ěëŁęšě§ 2ę°ě
죟 2-3ěę°
ě¸ě ë ěě
ë기 ę¸°ę° ěě
ęłźě ě¸ëśěŹí
⢠Understanding AI and Machine Learning in Customer Service: This unit will cover the basics of artificial intelligence (AI) and machine learning, and how they are being used in customer service to improve efficiency and effectiveness. Topics may include chatbots, natural language processing, and predictive analytics.
⢠Designing an AI-Powered Customer Service Strategy: This unit will focus on how to develop a customer service strategy that incorporates AI technologies. Participants will learn how to assess their current customer service operations, identify areas where AI can make a positive impact, and create a roadmap for implementation.
⢠Implementing Chatbots for Customer Service: Chatbots are becoming increasingly popular in customer service, and this unit will cover the key considerations for implementing and managing a chatbot. Topics may include chatbot design, integration with existing systems, and measuring the effectiveness of chatbot interactions.
⢠Ethics and Bias in AI Customer Service: As AI becomes more prevalent in customer service, it's important to be aware of the potential ethical considerations and biases that can arise. This unit will cover topics such as data privacy, transparency, and ensuring that AI systems are fair and unbiased.
⢠Using AI for Predictive Customer Service: Predictive analytics can be used to anticipate customer needs and provide proactive customer service. This unit will cover how to use AI to analyze customer data, predict future behavior, and develop strategies for providing personalized, predictive customer service.
⢠Training and Development for AI Customer Service: As AI becomes more integrated into customer service, it's important to ensure that employees are trained and equipped to work with these new technologies. This unit will cover training and development strategies for enhancing employee skills and knowledge in AI customer service.
⢠Measuring the Impact of AI in Customer Service: It's essential to measure the effectiveness of AI technologies in customer service in order to continuously improve and refine these systems. This unit will cover best practices for measuring the impact of AI in customer service, including KPIs, ROI, and other metrics.
⢠Case Studies and Best Practices in AI Customer Service: This unit will provide real-world examples and best practices for using AI in customer service, drawn from
ę˛˝ë Ľ 경ëĄ
ě í ěęą´
- 죟ě ě ëí 기본 ě´í´
- ěě´ ě¸ě´ ëĽěë
- ěť´í¨í° ë° ě¸í°ëˇ ě ꡟ
- 기본 ěť´í¨í° 기ě
- ęłźě ěëŁě ëí íě
ěŹě ęłľě ěę˛Šě´ íěíě§ ěěľëë¤. ě ꡟěąě ěí´ ě¤ęłë ęłźě .
ęłźě ěí
ě´ ęłźě ě ę˛˝ë Ľ ę°ë°ě ěí ě¤ěŠě ě¸ ě§ěęłź 기ě ě ě ęłľíŠëë¤. ꡸ę˛ě:
- ě¸ě ë°ě 기ę´ě ěí´ ě¸ěŚëě§ ěě
- ęśíě´ ěë 기ę´ě ěí´ ęˇě ëě§ ěě
- ęłľě ě겊ě ëł´ěě
ęłźě ě ěąęłľě ěźëĄ ěëŁí늴 ěëŁ ě¸ěŚě뼟 ë°ę˛ ëŠëë¤.
ě ěŹëë¤ě´ ę˛˝ë Ľě ěí´ ě°ëŚŹëĽź ě ííëę°
댏롰 ëĄëŠ ě¤...
ě죟 돝ë ě§ëŹ¸
ě˝ě¤ ěę°ëŁ
- 죟 3-4ěę°
- 쥰기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- 죟 2-3ěę°
- ě 기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- ě 체 ě˝ě¤ ě ꡟ
- ëě§í¸ ě¸ěŚě
- ě˝ě¤ ěëŁ
ęłźě ě ëł´ ë°ę¸°
íěŹëĄ ě§ëś
ě´ ęłźě ě ëšěŠě ě§ëśí기 ěí´ íěŹëĽź ěí ě˛ęľŹě뼟 ěě˛íě¸ě.
ě˛ęľŹěëĄ ę˛°ě ę˛˝ë Ľ ě¸ěŚě íë
