AI+ Telecommunications™

Price
Net: 1.985,00 €
VAT.: 377,15 €

Duration
5 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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AI is having a noticeable impact on the transformation of telecommunications. Networks respond in real time, systems act proactively, and data is becoming a key control factor. This training course shows how artificial intelligence is modernizing technical processes and setting new standards for performance and stability.

Key topics

Intelligent network control with AI.
Automated analysis of network and usage data.
AI-based fault prediction and maintenance.
Machine learning for service and quality optimization.
Security mechanisms and anomaly detection using AI.

Prerequisite
Basic knowledge of IT or telecommunications.

Target group
Professionals from telecommunications, IT, network operations, technology, and digital innovation fields.

The content taught provides guidance on the interaction between AI and telecommunications and supports the professional handling of intelligent network structures in an increasingly networked future.

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course content

Introduction to AI in telecommunications

AI fundamentals in telecommunications
AI technologies for telecommunications
Emerging trends in AI for telecommunications
Case study
Practical application

Data engineering for telecom AI

Fundamentals of Telecom Data Engineering
Design and Management of the Telecommunications Data Pipeline
Data Engineering Tools and Technology
Case study—SK Telecom's big data analytics with Metatron Discovery
Hands-on Exercise

AI for 5G networks

Introduction to 5G
AI applications in 5G
Improved network management with AI
Case study
Practical exercises

AI in network optimization

Proactive network management
Techniques for improving performance
Traffic management strategies
Case study
Practical application

AI in network security

Security threats in telecommunications
AI security solutions
Advanced security frameworks
Case study
Practical application

Improving the customer experience with AI

Personalized customer service
Improvement of service quality
Improving customer loyalty
Case study
Practical application

IoT integration with telecommunications

IoT basics
Dealing with IoT security challenges
Improving Operational Efficiency with IoT
Case study
Practical application

AI-integrated network operations centers (NOCs)

The transition to AI-driven NOCs
Automation of escalations and root cause analysis
Closed-loop automation with AI and SDN integration
Designing AI-enabled network architectures
Case study
Hands-on exercises

Ethical considerations regarding artificial intelligence

Ethical implications of the use of artificial intelligence
Responsible introduction practices
Emerging trends and challenges
Case study
Practical application

Capstone Project

final project

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What will you learn in the AI+ Telecommunications™ course?

The course teaches how AI improves networks and telecom processes—e.g., network optimization, predictive maintenance, customer service, and security using AI methods.

What tools are used in the course?

Participants work with common data tools and frameworks such as TensorFlow, Keras, and visualization tools for data analysis.

Which AI techniques are covered in the course?

Machine learning, predictive analytics, anomaly detection, and automation are embedded in a practical manner.

What does "network optimization" mean in the course?

AI-supported optimization means intelligent control of traffic flows, resource utilization, and network quality.

How does AI help with network security?

The course demonstrates AI methods for detecting attacks, protecting against threats, and detecting fraud.

How does the course improve customer service?

AI technologies such as NLP and automation are used to analyze and improve customer interactions.

How is testing and certification carried out?

At the end, there is a certificate exam with case studies and practical tasks that confirm AI skills.

Do you have any further questions? Please contact us.

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0800 258 258 055

website@newhorizons.de

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