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Customer Experience in Telecommunication · LearnSpace
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courseraIT и технологии

Customer Experience in Telecommunication

Курс от AI CERTs
Начальный≈ 6.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Artificial intelligence is transforming how telecom companies improve customer experiences, strengthen engagement quality, and deliver more personalized digital services across communication environments. Telecom providers are increasingly using AI-powered tools to improve customer analytics, optimize support interactions, and strengthen operational decision-making across customer-facing workflows. This Customer Experience in Telecom course is designed for telecom professionals, customer experience teams, business leaders, and learners seeking practical knowledge of AI in telecom environments. Learners will explore how AI technologies support customer analytics, personalization strategies, service optimization, and engagement workflows without requiring advanced technical expertise. The course focuses on implementation-oriented telecom applications and modern customer experience strategies. You’ll examine how AI tools support customer journey analysis, predictive engagement, service personalization, and performance improvement. Through practical scenarios, learners will explore how AI supports customer retention, experience monitoring, workflow efficiency, and service optimization. You’ll also learn how professionals assess AI opportunities, improve customer satisfaction strategies, and support responsible AI adoption across telecom operations. In addition, the course introduces foundational concepts around AI governance, ethical AI implementation, and practical adoption approaches used within modern telecom organizations. By the end of the course, you’ll be able to identify AI opportunities in telecom customer environments, improve engagement workflows, strengthen personalization quality, and apply AI-supported approaches to improve customer experience outcomes. Enroll in this telecom AI course to build practical customer experience and personalization skills for modern telecom environments.

Навыки, которые вы освоите

Customer RetentionPredictive ModelingCustomer AnalysisAI PersonalizationCustomer EngagementCustomer ServiceCustomer experience strategy (CX)Personalized ServiceCustomer InsightsDriving engagementContinuous MonitoringOperational EfficiencyEthical Standards And Conduct

Программа курса

5 модулей · 35 учебных материалов

01Module 1: Enhancing Customer Experience with AI8 материалов
Navigation VideoВидеоModule 1: Enhancing Customer Experience with AIPLUGIN1.1 Personalized Customer ServiceВидео1.2 Service Quality ImprovementВидео

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AI CERTs Team

Преподаватель курса

Customer Experience in Telecommunication
В каталоге вашей программы

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 6.4 ч

5 модулей

Язык: Английский

Субтитры: Дари, Пушту

Часть программы вашего университета
1.3 Enhancing Customer EngagementВидео
1.4 Case StudyВидео
ACTIVITY: Problem StatementPLUGIN
Quiz 1Задание
02Module 2: IoT Integration with Telecommunication7 материалов
Module 2: IoT Integration with TelecommunicationPLUGIN2.1 IoT FundamentalsВидео2.2 Managing IoT Security ChallengeВидео2.3 Enhancing Operational Efficiency with IoTВидео2.4 Case StudyВидеоACTIVITY: TabPLUGINQuiz 2Задание
03​Module 3: AI-Integrated Network Operations Centers (NOCs) 10 материалов
​Module 3: AI-Integrated Network Operations Centers (NOCs) PLUGIN3.1 Transitioning to AI-Driven NOCs: From reactive to predictive operations Видео3.2 Automating escalations and root cause analyses Видео3.3 Closed-loop automation with AI and SDN integration Видео3.4 Designing AI-ready network architectures Видео3.5 Change management strategies for AI rollouts in operations Видео3.6 Case Study: Implementation of AI assistants in NOCs Видео3.7 Case Study: Nokia's Integration of AI in Network Optimization ВидеоACTIVITY: Drag and DropPLUGINQuiz 3Задание
04​Module 4: Ethical Considerations in Artificial Intelligence7 материалов
​Module 4: Ethical Considerations in Artificial IntelligencePLUGIN4.1 Ethical Implications of Using Artificial IntelligenceВидео4.2 Responsible Deployment PracticesВидео4.3 Emerging Trends and ChallengesВидео4.4 Case StudyВидеоACTIVITY: Scenario ActivityPLUGINQuiz 4Задание
05Module 5: Capstone Projects3 материалов
Module 5: Capstone ProjectsPLUGIN5.1 Introductory Video for Capstone ProjectВидеоCourse SummaryВидео