What tools will I use?

You’ll work with TensorFlow, Keras, Python, Power BI, and Matplotlib to build and analyze telecom AI models.

Do I need prior experience with IoT or NOCs?

Basic telecom knowledge is helpful, but the course provides foundational coverage before advancing to applied concepts.

How does the Capstone Project work?

You’ll identify a telecom use case, build an AI solution, evaluate results, and present your findings as a final project.

Can I take this pathway independently?

Yes, but completing all three pathways provides a complete understanding of AI in telecom and access to the certification exam.

How is ethical AI addressed in this pathway?

You’ll explore responsible deployment practices, governance models, and the societal impact of AI in telecom.

What career outcomes can I expect?

You’ll be equipped for roles in AI-led customer experience, IoT operations, and telecom data governance.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Customer Experience in Telecommunication

Customer Experience in Telecommunication

本课程是 AI for Telecommunications 专项课程的一部分

位教师：AI CERTs Team

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5个模块

深入了解一个主题并学习基础知识。

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6 小时完成

灵活的计划

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5个模块

深入了解一个主题并学习基础知识。

高级设置等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Customer Experience Intelligence: Leverage AI to personalize telecom services and improve customer engagement.
IoT & Network Operations: Integrate AI for efficient IoT management and intelligent Network Operations Centers (NOCs).
Ethical AI Deployment: Understand governance, transparency, and responsible AI use in telecom systems.
Capstone Mastery: Apply AI to real telecom challenges, deploying models and presenting data-driven solutions.

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

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本课程是 AI for Telecommunications 专项课程专项课程的一部分

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该课程共有5个模块

This final pathway of the AI for Telecommunications Specialization takes you beyond network intelligence—into the world of AI-powered customer engagement, IoT innovation, and responsible AI governance.

You’ll explore how artificial intelligence enhances telecom customer experiences through chatbots, virtual assistants, and predictive service models. Dive into IoT-driven connectivity, learning how AI supports seamless device integration, QoS (Quality of Service) management, and real-time monitoring across complex networks. Through modules on AI-Integrated Network Operations Centers (NOCs), you’ll master automation, anomaly detection, and performance optimization at scale. The pathway concludes with a Capstone Project, where you’ll design and deploy an AI-driven solution for a real-world telecom challenge — integrating insights from all previous pathways. Tools like TensorFlow, PyTorch, and Matplotlib will support hands-on learning, while ethical AI frameworks help you ensure compliance, fairness, and transparency in every AI deployment.

涵盖的内容

4个视频1个作业2个插件

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4个视频1个作业2个插件

涵盖的内容

7个视频1个作业2个插件

7个视频总计33分钟

3.1 Transitioning to AI-Driven NOCs: From reactive to predictive operations 4分钟
3.2 Automating escalations and root cause analyses 5分钟
3.3 Closed-loop automation with AI and SDN integration 5分钟
3.4 Designing AI-ready network architectures 3分钟
3.5 Change management strategies for AI rollouts in operations 4分钟
3.6 Case Study: Implementation of AI assistants in NOCs 4分钟
3.7 Case Study: Nokia's Integration of AI in Network Optimization 4分钟

1个作业总计30分钟

Quiz 330分钟

2个插件总计30分钟

Module 3: AI-Integrated Network Operations Centers (NOCs) 15分钟
ACTIVITY: Drag and Drop15分钟

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常见问题

This pathway explores how AI transforms customer experience, IoT operations, and governance in the telecom industry.

You’ll learn to design AI-driven customer engagement systems, manage IoT networks, and apply ethical frameworks in telecom AI.

Yes. You’ll complete labs and a capstone project simulating real-world telecom challenges and AI solution deployment.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.