AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation – London, 1–5 Feb 2027
AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation runs in London from Monday 1 February to Friday 5 February 2027 (1 Week). The fee is 25,300 SAR per participant. The same programme is also scheduled in 1 other city.
- Dates
- Length
- 1 Week
- Fee per participant
- 25,300 SAR
- Format
- In person, London
- Venue
- Central London four-star
- Status
- Open for registration
- Week
- 5 of 2027
- Reference
- 830_20374
This session
1–5 Feb 2027
This AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation session in London runs from Monday 1 February to Friday 5 February 2027 (week 5, Q1 2027). It is the only date in London in 2027, at a fee of 25,300 SAR. Registration is open for this date. It is held in person at Central London four-star.
How do I book this date?
Register online to request your place, or send us a question about this date first.
Reference for this date: 830_20374. 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 London start and finish?
It starts on Monday 1 February and finishes on Friday 5 February 2027: 1 Week.
How much does AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation in London cost?
The fee for this date is 25,300 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 London, at Central London four-star.
Where else does AI for Telecom Networks: AIOps, Predictive Maintenance and RAN Optimisation run?
It is also scheduled in 1 other city: Dubai.
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
Where else does this programme run?
Also scheduled in 1 other city.
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