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.

Network and Security Optimization in Telecommunication

Network and Security Optimization in Telecommunication
This course is part of AI for Telecommunications Specialization

Instructor: AI CERTs Team
Access provided by UNext Learning
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
- Communication
- Operations Support Systems
- Emerging Technologies
- Real Time Data
- Computer Networking
- Deep Learning
- Anomaly Detection
- Digital Communications
- Generative AI Agents
- Wireless Networks
- AI Security
- Telecommunications
- System Design and Implementation
- Artificial Intelligence
- Network Performance Management
- Responsible AI
- Network Architecture
- Artificial Intelligence and Machine Learning (AI/ML)
- Network Protocols
Tools you'll learn
Details to know

Shareable certificate
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Assessments
3 assignments
Taught in English
Recently updated!
November 2025
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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.
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There are 3 modules in this course
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