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
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
4 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
- Generative AI Agents
- Communication
- Network Protocols
- Real Time Data
- Responsible AI
- Wireless Networks
- Deep Learning
- Network Architecture
- Artificial Intelligence
- Digital Communications
- Generative AI
- Network Planning And Design
- Computer Networking
- System Design and Implementation
- Network Performance Management
- Tensorflow
- Artificial Intelligence and Machine Learning (AI/ML)
- Telecommunications
- Anomaly Detection
- Emerging Technologies
Details to know
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Recently updated!
November 2025
Assessments
3 assignments
Taught in English
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There are 3 modules in this course
What's included
4 videos1 assignment2 plugins
What's included
4 videos1 assignment2 plugins
What's included
4 videos1 assignment2 plugins
Instructor
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Frequently asked questions
This pathway focuses on applying AI to optimize telecom networks, enhance 5G performance, and strengthen cybersecurity systems.
While Pathway A builds AI foundations, Pathway B emphasizes hands-on applications—using AI for predictive maintenance, network optimization, and security automation.
You’ll work with tools like TensorFlow, Keras, Scikit-learn, and PyTorch for building and training AI models for telecom systems.
More questions
Financial aid available,