My favourite
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This technical training program delves into the intricacies of the 5G air interface and spectrum
management. Participants will gain a deep understanding of essential components, protocols,
and resource allocation within 5G networks. We will discuss in more details the channels, CSI-
RS, SSI, BWP, SRS and more ..
By completing this training, individuals will be well-equipped to excel in the dynamic field of
wireless communication technology.
AI Native 5G 3GPP enhancements in Release 19 and 20
- Created by 5GWORLDPRO
- Last updated 06/2026
- 9500 students enrolled
4.9 (3230 ratings)
★★★★★ Rated 5 out of 5
Let us know if you need more information about recorded Training or if you are interested in live virtual classroom Training.
VIRTUAL CLASSROOM TRAINING
CLASSROOM TRAINING
This course includes:
- 2 days on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Learning Path
- 3GPP Release 19 scope, timeline, and key work items overview
- What differentiates 5G-Advanced from Release 15/16/17 baseline
- AI for the Network: use-case taxonomy and operational goals
- Network for AI: compute exposure, data pipelines, inference transport
- Standardisation gaps and implementation realities for operators
- AI-driven Beam Management: RS overhead reduction, prediction models, UE feedback
- ML-assisted Positioning Accuracy: hybrid methods, NLOS mitigation, sub-meter targets
- Intelligent Load Balancing: data-driven traffic steering, inter-frequency coordination
- Mobility Optimisation: handover failure prediction, context-aware triggering
- Split inference between UE, gNB, and edge protocol and interface impacts
- NWDAF Release 19 evolution: enhanced data collection, model distribution, MTLF/AnLF split
- Vertical Federated Learning: privacy-preserving multi-operator model training
- NEF enhancements: structured AI/ML data exposure APIs for third-party apps
- PCF integration: AI-informed policy rules, dynamic QoS and resource allocation
- Signalling storm prevention using anomaly detection and predictive congestion control
- AI/ML Lifecycle Management (LCM): training, validation, deployment, retraining, retirement
- 5G deployment topology options: on-device, near-RT edge, non-RT cloud, hybrid
- AI/ML Inference Management: latency budgets, accuracy-cost trade-offs, fallback logic
- Model versioning, A/B testing, and canary deployment in live networks
- 3GPP AI/ML study items approved for Release 20: scope, open questions, expected outcomes
- AI-native air interface: early research concepts, channel model implications, standardisation roadmap
- Agentic AI in telecom: autonomous closed-loop management, LLM integration patterns, intent-based APIs
- Open challenges: cross-domain orchestration, real-time inference at scale, operator readiness
Overview
With 3GPP Release 19, AI and Machine Learning move from research concepts to standardised, production-grade functions embedded across the 5G Radio Access Network, Core, and management plane. This course gives practising engineers and network architects a precise, technically grounded understanding of what Release 19 actually specifies cutting through the hype to focus on operational impact.
You will explore the dual paradigm defining 5G-Advanced: AI for the Network driving efficiency and automation, and Network for AI turning the infrastructure into an execution platform for distributed intelligence. Across five modules, the course covers RAN AI/ML use cases, NWDAF and federated learning enhancements, NEF/PCF integration, lifecycle management, closed-loop automation, and a forward-looking view of Release 20 study items and Agentic AI in telecom.
Who is the course for?
Knowledge on 5G Technology
SOME OF OUR CUSTOMERS
What people are saying
Beanie Review
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Simply the best
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Radio & Tracking Systems Sales Engineer
many thanks, Mr. Mohamed Idrissi after completing my first training course related to 5G open Ran, and to keep up and to expand knowledge [...]
Data Analytics & Reporting Engineer
I really enjoys 5G -Open Ran training from 5GWorldPro , if you want to gain knowledge of 5G NG-RAN architecture and needing solid [...]
General Manager
I have attended training on 5G O-RAN from Mr. Idrissi and planning to attend other trainings too. The training is extremely useful [...]
RF Engineering Specialist
I found Mohamed very friendly and someone who can go distance to help people.
Deputy General Manager
Idrissi has a particular inclination towards next gen technologies and always takes initiative to learn the latest technology first and at the same time [...]
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