Artificial Intelligence and Machine Learning Courses

AI+ Telecommunications - Self-paced

Length 365 days access
Price NZD 1050 exc GST
Inclusions Online exam

Course overview

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Why study this course

The AI+ Telecommunications course examines how AI is transforming the telecommunications industry. It covers 5G implementation, QoS, and QoE for network performance, AI-driven network optimisation, predictive maintenance, and cybersecurity. Participants will also learn NLP for customer interactions and IoT integration for smart networks. Through hands-on projects and a capstone, learners apply AI to real-world telecom challenges, gaining the skills to drive innovation and enhance service delivery.

Exam and certification

This course prepares students for the corresponding certification. The exam/assessment is completed online and provided as part of the course content.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

Course availability update

Lumify Work is actively monitoring demand for this course. It is currently offered as a self-paced eLearning course and includes the certification exam. If you're interested in joining a waitlist for future instructor-led training — or exploring options for a tailored delivery for your organisation — please contact us. Your feedback helps shape our activation roadmap.

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What you’ll learn

This course is designed to teach participants how to:

Explore AI technologies enhancing telecom networks, from predictive maintenance to network optimisation and customer service automation
Master AI in 5G deployment, anomaly detection, and real-time resource management for improved network performance
Understand AI solutions for cybersecurity, fraud detection, and efficient IoT integration to ensure network reliability
Develop AI-driven solutions for real-world telecom challenges like network optimisation and intelligent service delivery

AI CERTs at Lumify Work

AI CERTs® stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is a Platinum Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

Telecommunication Engineers
Network Specialists
Cybersecurity Professionals
Customer Experience Managers
Telecom Project Managers
Consultants

Course subjects

Module 1: Introduction to Telecommunications AI

AI Fundamentals in Telecommunications
AI Technologies for Telecom
Emerging Trends in AI for Telecommunications
Case Study
Hands-on

Module 2: Data Engineering for Telecom AI

Foundations of Telecom Data Engineering
Designing and Managing the Telecom Data Pipeline
Data Engineering Tools and Technology
Case Study: SK Telecom’s Big Data Analytics with Metatron Discovery
Hands-on Exercise

Module 3: AI for 5G Networks

Introduction to 5G
AI Applications in 5G
Enhancing Network Management with AI
Case Study
Hands-on

Module 4: AI in Network Optimisation

Predictive Network Management
Performance Enhancement Techniques
Traffic Management Strategies
Case Study
Hands-on

Module 5: AI for Network Security

Security Threats in Telecom
AI Security Solutions
Advanced Security Frameworks
Case Study
Hands-on

Module 6: Enhancing Customer Experience with AI

Personalised Customer Service
Service Quality Improvement
Enhancing Customer Engagement
Case Study
Hands-on

Module 7: IoT Integration with Telecommunications

IoT Fundamentals
Managing IoT Security Challenges
Enhancing Operational Efficiency with IoT
Case Study
Hands-on

Module 8: AI-Integrated Network Operations Centers (NOCs)

Transitioning to AI-driven NOCs
Automating Escalations and Root Cause Analyses
Closed-loop Automation with AI and SDN Integration
Designing AI-ready Network Architectures
Change Management Strategies for AI Rollouts in Operations
Case Study: Implementation of AI Assistants in NOCs

Module 9: Ethical Considerations in Artificial Intelligence

Ethical Implications of Using Artificial Intelligence
Responsible Deployment Practices
Emerging Trends and Challenges
Case Study
Hands-on

Module 10: Capstone Project

Prerequisites

Basic understanding of telecommunications concepts and technologies
Familiarity with programming, preferably in Python
Basic knowledge of data analysis techniques is beneficial
While prior experience with AI is helpful, it is not required to enroll in this course

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.