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

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Network and Security Optimization in Telecommunication

This course is part of AI for Telecommunications Specialization

Instructor: AI CERTs Team

Included with

Learn more

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English

91% of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

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logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

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 3 modules in this course

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.

Module details

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.

What's included

5 videos1 assignment2 plugins

5 videosTotal 34 minutes

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

1 assignmentTotal 30 minutes

Quiz 130 minutes

2 pluginsTotal 30 minutes

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

What's included

4 videos1 assignment2 plugins

4 videosTotal 27 minutes

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