Categories Telecom, University

AI+ Telecommunications™

  • AI in Telecommunications: Redefining the Future of Seamless Connectivity

$174.50

ChartBar (1)-51bd46
Intermediate
AI+ Telecommunications.
40h
1 Year.
$174.50
Training 5 or more people?

AI in Telecommunications: Redefining the Future of Seamless Connectivity.

  • Foundational Insights: Explore AI technologies enhancing telecom networks, from predictive maintenance to network optimization and customer service automation. 
  • Advanced Applications: Master AI in 5G deployment, anomaly detection, and real-time resource management for improved network performance. 
  • Specialized Expertise: Learn AI solutions for cybersecurity, fraud detection, and efficient IoT integration to ensure network reliability. 
  • Capstone Project: Develop AI-driven solutions for real-world telecom challenges like network optimization and intelligent service delivery. 
  • AI-Powered Telecom Innovation Learn to integrate AI technologies to enhance telecom services, from 5G to cybersecurity.
  • Practical, Hands-On Learning Engage in real-world projects, simulating AI applications across various telecom domains.
  • Cutting-Edge Industry Relevance Stay ahead of emerging trends like AI-driven network optimization and IoT integration.
  • Comprehensive Skill Development Gain expertise in data engineering, AI algorithms, and predictive maintenance for telecom infrastructure.
  • Ethical & Strategic Insights Explore ethical considerations in AI deployment and its impact on the telecom industry.

Course Curriculum

Module 1: Introduction to AI in Telecommunications
1.1 AI Fundamentals in Telecommunications 1.2 AI Technologies for Telecom 1.3 Emerging Trends in AI for Telecommunications 1.4 Case Study 1.5 Hands-on

Module 2: Data Engineering for Telecom AI
2.1 Foundation of Telecom Data Engineering 2.2 Designing and Managing the Telecom Data Pipeline 2.3 Data Engineering tools and Technology 2.4 Case Study: SK Telecom’s Big Data Analytics with Metatron Discovery 2.5 Hands on Exercise

Module 3: AI for 5G Networks
3.1 Introduction to 5G 3.2 AI Applications in 5G 3.3 Enhancing Network Management with AI 3.4 Case Study 3.5 Hands-on

Module 4: AI in Network Optimization
4.1 Predictive Network Management 4.2 Performance Enhancement Techniques 4.3 Traffic Management Strategies 4.4 Case Study 4.5 Hands-on

Module 5: AI in Network Security
5.1 Security Threats in Telecom 5.2 AI Security Solutions 5.3 Advanced Security Frameworks 5.4 Case Study 5.5 Hands-on

Module 6: Enhancing Customer Experience with AI
6.1 Personalized Customer Service 6.2 Service Quality Improvement 6.3 Enhancing Customer Engagement 6.4 Case Study 6.5 Hands-on

Module 7: IoT Integration with Telecommunications
7.1 IoT Fundamentals 7.2 Managing IoT Security Challenges 7.3 Enhancing Operational Efficiency with IoT 7.4 Case Study 7.5 Hands-on

Module 8: AI-Integrated Network Operations Centers (NOC)
8.1 Transitioning to AI-driven NOCs 8.2 Automating escalations and root cause analyses 8.3 Closed-loop automation with AI and SDN integration 8.4 Designing AI-ready network architectures 8.5 Change management strategies for AI rollouts in operations 8.6 Case Study: Implementation of AI assistants in NOCs

Module 9: Ethical Considerations in Artificial Intelligence
9.1 Ethical Implications of Using Artificial Intelligence 9.2 Responsible Deployment Practices 9.3 Emerging Trends and Challenges 9.4 Case Study 9.5 Hands-on

Module 10: Capstone Project

Learning Objectives

  • AI+ Telecommunications provides an in-depth exploration of how artificial intelligence enhances various aspects of the telecom industry.
  • Key topics include the implementation of 5G technologies, which offer improved speed and connectivity, and the critical roles of Quality of Service (QoS) and Quality of Experience (QoE) in ensuring optimal network performance and user satisfaction.
  • Participants will learn about AI-driven network optimization, predictive maintenance, and cybersecurity strategies to safeguard telecom infrastructure.
  • The curriculum also covers natural language processing for customer interactions and IoT integration for smart network management.
  • Through hands-on projects, learners will apply AI techniques to real-world scenarios, culminating in a capstone project that synthesizes their knowledge and skills in addressing contemporary challenges in telecommunications.
  • This course equips participants with the expertise to leverage AI effectively in their organizations, driving innovation and enhancing service delivery.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Telecom Engineers.
  • Data Analysts.
  • Network Security Experts.
  • AI Enthusiasts.
  • Project Managers.

Job Roles & Industry Outlook 

Background (3)-7d31b3
5G Network Manager
Oversee the development and deployment of Al-powered 5G networks, ensuring enhanced connectivity and network efficiency.
Background (3)-7d31b3
Al Network Architect
Design and implement Al-driven network systems for predictive maintenance, QoS monitoring, and real-time resource management in telecom.
Background (3)-7d31b3
Telecom Operations Manager (Al-driven)
Manage telecom operations using Al tools to optimize network performance, reduce costs, and improve customer satisfaction.
Background (3)-7d31b3
Chief Telecom Officer (CTO)
Lead the adoption of Al technologies across telecom infrastructure, driving innovation, scalability, and improved service delivery.
Background (3)-7d31b3
Telecom Al Consultant
Advise telecom companies on integrating Al solutions to optimize network performance, customer experience, and service delivery.

Exam Information

Background+Shadow-769ee2
Duration
90 minutes
Passing Score Icon-71608a
Passing Score
70% (35/50)
Background+Shadow (1)-efcf81
Format
50 multiple-choice/multiple-response questions
Background+Shadow (2)-044f1d
Delivery Method
Online via proctored exam platform (flexible scheduling)
Background (1)-0543a9
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

Exam Blueprint:

Introduction to Al in Telecommunications - 6%
Data Engineering for Telecom Al - 10%
Al for 5G Networks - 10%
Al in Network Optimization - 10%
Al for Network Security - 10%
Enhancing Customer Experience with Al - 11%
IoT Integration with Telecommunications - 11%
Al-Integrated Network Operations Centers (NOCs) - 11%
Ethical Considerations in Artificial Intelligence - 11%
Capstone Project - 10%

Explore our Schedules

Sep 27 - Oct 1
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Mecca
724.5$
5 Days
Aug 2 - Aug 6
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Doha
724.5$
5 Days
Jun 7- Jun 11
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Abu Dhabi
724.5$
5 Days
Nov 1- Nov 5
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Dubai
724.5$
5 Days
Sep 27 - Oct 1
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Kuwait
724.5$
5 Days
Aug 2 - Aug 6
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Muscat
724.5$
5 Days
Oct 11 - Oct 15
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Cairo
369.6$
5 Days
Apr 5 - Apr 16
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
10 Days
Jul 12 - Jul 23
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
10 Days
Sep 27 - Oct 8
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
10 Days
Dec 6 - Dec 17
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
10 Days

Certificate of Completion

AI+ Telecommunications.

AI-Healthcare-Certificate-Blurred 1

$174.50

ChartBar (1)-51bd46
Intermediate
AI+ Telecommunications.
40h
1 Year.
$174.50
Training 5 or more people?

Learners Also Enrolled For

Want to receive push notifications for all major on-site activities?

Don't have an account yet? Sign up for free