What is the main focus of this pathway?

This pathway focuses on applying AI to optimize telecom networks, enhance 5G performance, and strengthen cybersecurity systems.

How is this different from Pathway A?

While Pathway A builds AI foundations, Pathway B emphasizes hands-on applications—using AI for predictive maintenance, network optimization, and security automation.

What tools will I learn in this pathway?

You’ll work with tools like TensorFlow, Keras, Scikit-learn, and PyTorch for building and training AI models for telecom systems.

Are coding skills required?

Yes, a working knowledge of Python and familiarity with data processing or machine learning frameworkswill be beneficial.

Does this pathway include real-world projects?

Absolutely. You’ll implement AI models for 5G traffic optimization, anomaly detection, and network fault prediction.

Can I take this course without completing Pathway A?

You can, but completing Pathway A first is strongly recommended for foundational AI and telecom context.

What industries or roles will benefit most from this learning?

Ideal for telecom engineers, data scientists, and cybersecurity professionals working on AI-driven network transformation.

When will I have access to the lectures and assignments?

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.

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.

Network and Security Optimization in Telecommunication

Network and Security Optimization in Telecommunication

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

位教师：AI CERTs Team

包含在中

了解更多

3个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

5 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

5 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Network Intelligence: Apply AI and ML to build self-optimizing, predictive telecom networks.
5G Optimization: Use AI models for efficient 5G deployment, traffic management, and resource allocation.
Cybersecurity with AI: Detect anomalies and prevent threats using AI-driven security systems.
Operational Efficiency: Automate network operations and enhance system reliability through intelligent analytics.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

3 项作业

授课语言：英语（English）

91%

of learners achieved a positive career outcome

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

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

积累特定领域的专业知识

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

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有3个模块

This intermediate-level course builds on Pathway A to help you advance from understanding AI concepts to designing and implementing intelligent telecom systems. You’ll dive deep into AI-powered automation, deep learning for anomaly detection, predictive network optimization, and real-time decision intelligence for 5G and IoT ecosystems.

Through practical, hands-on exercises, you’ll use tools like Python, TensorFlow, PyTorch, Scikit-learn, Keras, Jupyter Notebooks, and Power BI to develop and deploy AI models that improve network performance, reliability, and customer experience. You’ll also explore how AI can enhance spectrum management, fault prediction, and dynamic resource allocation. Each module blends technical depth with real-world applications, ensuring you learn not just how AI works in telecom, but why it matters. Guided projects and case studies from global telecom providers help you translate insights into measurable outcomes. By the end, you’ll have the skills to design, optimize, and evaluate AI-driven telecom operations at scale — bridging the gap between AI innovation and telecom transformation.

单元详情

This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.

涵盖的内容

5个视频1个作业2个插件

5个视频总计34分钟

Navigation Video2分钟
1.1 Introduction to 5G9分钟
1.2 AI Applications in 5G 10分钟
1.3 Enhancing Network Management Sharing, AI 8分钟
1.4 Case Study: SK Telecom—AI-Powered QoE Optimization for Real-Time Gaming and Streaming in 5G Networks 6分钟

1个作业总计30分钟

Quiz 130分钟

2个插件总计30分钟

Module 1: AI for 5G Networks 15分钟
ACTIVITY: Case Study15分钟

涵盖的内容

4个视频1个作业2个插件

4个视频总计27分钟

2.1 Predictive Network Management 8分钟
2.2 Performance Enhancement Techniques 6分钟
2.3 Traffic Management Strategies 8分钟
2.4 Case Study: Ericsson—Enhancing Network Performance with AI-Driven Load Balancing5分钟