IT & Cybersecurity

AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation – Dubai, 4–8 Jan 2027

AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation runs in Dubai from Monday 4 January to Friday 8 January 2027 (1 Week). The fee is 21,450 SAR per participant. The same programme is also scheduled in 1 other city.

Dates: Monday 4 Jan – Friday 8 Jan 2027
Length: 1 Week
Fee per participant: 21,450 SAR
Format: In person, Dubai
Venue: Five-star CBD venue
Status: Open for registration
Week: 1 of 2027
Reference: 830_20373

This session

4–8 Jan 2027

This AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation session in Dubai runs from Monday 4 January to Friday 8 January 2027 (week 1, Q1 2027). It is the only date in Dubai in 2027, at a fee of 21,450 SAR. Registration is open for this date. It is held in person at Five-star CBD venue.

How do I book this date?

Reference for this date: 830_20373. Quote it when you contact us.

Before you book, read our cancellation policy.

Let’s talk about your next step.

Questions about this date

When does AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation in Dubai start and finish?

It starts on Monday 4 January and finishes on Friday 8 January 2027: 1 Week.

How much does AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation in Dubai cost?

The fee for this date is 21,450 SAR per participant. Please read our cancellation policy before you book.

Is this date held in person or online?

It is held in person in Dubai, at Five-star CBD venue.

Where else does AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation run?

It is also scheduled in 1 other city: London.

What does this programme cover?

AI for telecom networks matters because operators now drown in alarms, performance counters and trouble tickets while NOC headcount, energy bills and customer expectations all move the wrong way. Alarm storms hide the real fault, radio parameters drift from their best settings, and data science pilots stall before they reach live operations. This Core Concept course equips operations, planning and data teams to apply AIOps, predictive maintenance, self-organising network functions and capacity forecasting to live network data. Participants build an AIOps Use-Case Portfolio and Pilot Plan for a case operator.

The programme outline covers:

Introduction
Course Objectives
Target Audience
Course Outline
Day 1: Operator Data Estate and the AIOps Landscape
Day 2: Machine Learning Toolkit and Network Automation Architecture
Day 3: AIOps in the NOC, Predictive Maintenance and Radio Optimisation
Day 4: Capacity, Energy, Customer Experience and Model Risk
Day 5: Case Study: AIOps Use-Case Portfolio and Pilot Plan
Skills You Will Gain
Why Attend This Course
Conclusion

Read the full outline on the programme page ↗

Where else does this programme run?

Also scheduled in 1 other city.

London