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Artificial Intelligence In Telecom
- Created by 5GWORLDPRO
- Last updated 07/2026
- 32,261 students enrolled
4.7 (591 ratings)
★★★★★ Rated 5 out of 5
VIRTUAL CLASSROOM TRAINING
CLASSROOM TRAINING
RECORDED TRAINING
This course includes:
- 8 Hours
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Learning Path
The course Artificial intelligence for Telecom is an essential first step in establishing your understanding of how Artificial Intelligence (AI) is changing the telecoms industry.he course takes you through the basic terminology and features of AI, identifies the various types and usages of AI and discusses the applications fields in AI.
Within this AI Training, will also discuss Machine Learning and Deep Learning, and explain the role of Big Data. We will also discuss about technology behind chatGPT and its applications.
Finally, we will focus on deployment of artificial intelligence in networks, we will understand how Artificial intelligence manage Data-driven Network, and finish the course by specific 4G and 5G use cases.
• Introduction to AI
• AI classification
• Introduction to machine learning
• AI background and definitions
• AI in telecom
• AI in self-driving cars
• AI in industry
• What is machine learning
• Supervised learning
• Unsupervised learning
• Semi-supervised learning
• Reinforcement learning
• What is a neural network?
• Supervised learning with neural networks
• Why deep learning is taking off
• Origins of neural networks
• Self-organizing networks
• Multi-layer perceptron Binary classification Binary classification
• CNNs, LSTMs, RNNs, GANs
• RBFNs, DBNs, RBMs
• MLPs, SOMs, Autoencoders
• Types and expressions
• Variables and strings
• Tuples
• Lists and dictionaries
• Introduction to big data
• Types and characteristics of big data
• Roles of big data
• Microsoft CNTK, TensorFlow, PyTorch
• DeepLearning4J, Keras, ONNX
• MXNet, Caffe
• Overview of ChatGPT and its evolution
• Technology behind ChatGPT
• ChatGPT and chatbots
• Language generation, sentiment analysis, text summarization
• ChatGPT in medical diagnosis
• Telecom complexity requires AI
• AI technology adoption with service providers
• Challenges for successful AI adoption
• Benchmark of AI offerings within telcos
• Added value of AI in operators
• Why AI in 4G/5G networks?
• What can AI do for networks?
• How to introduce AI in networks
• ETSI-ENI architecture
• AI for RAN network management
• Fault detection in 4G and 5G RAN
• Customer QoS determination
• AI for network optimization (practical)
• AI for network operations
Overview
Comprehensive AI training for telecom professionals. Covers AI fundamentals, machine learning, deep
learning, generative AI (ChatGPT), big data, Python basics, AI frameworks, and practical 4G/5G AI use
cases for network management, optimization, and operations.
Who is the course for?
This course is designed for ICT engineers
SOME OF OUR CUSTOMERS
What people are saying
RAN Integration Engineer- O2 Telefonica, Germany
Thank You 5G worldpro for amazing course design, as RF planning all concepts are covered in depth. Thank you Mohamed for your excellent presentation. [...]
Scoping Analyst
My recommendation for those who want to understand more about 5G … Mohamed Idrissi-5GWorldPro provides excellent training services for telecommunications engineers who want to [...]
Radio Planning Engineer
I have completed the NR Advanced an RF Planning modules from 5GWorldPro. I found them really usefull to bridge the gap between 4G and [...]
Member Industrial Advisory Board
I attended 5G NR training that was very well researched and comprehensive. the content was organised and delivered very well. Overall it was a [...]
Engineer II, SAR Testing
I have finished both 5G NR Advanced and 5G NR RF planning training courses and I highly recommend them to anyone who wants to [...]
General Manager
It was a great training course
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