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

This course is part of AI for Telecommunications Specialization

Instructor: AI CERTs Team

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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.

Details to know

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Build your subject-matter expertise

This course is part of the AI for Telecommunications Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

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.

What's included

4 videos1 assignment2 plugins

What's included

4 videos1 assignment2 plugins

What's included

7 videos1 assignment2 plugins

7 videosTotal 33 minutes

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

1 assignmentTotal 30 minutes

Quiz 330 minutes

2 pluginsTotal 30 minutes

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

What's included

4 videos1 assignment2 plugins

4 videosTotal 30 minutes

4.1 Ethical Implications of Using Artificial Intelligence9 minutes
4.2 Responsible Deployment Practices6 minutes
4.3 Emerging Trends and Challenges8 minutes
4.4 Case Study6 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

2 pluginsTotal 30 minutes

Module 4: Ethical Considerations in Artificial Intelligence15 minutes
ACTIVITY: Scenario Activity15 minutes

What's included

2 videos1 plugin

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

AI CERTs Team

AI CERTs

29 Courses3,974 learners

Offered by

AI CERTs

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Frequently asked questions

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.