Duration: 1 Day
Description
This one-day course explores how zero-touch operations can transform the management of 5G and cloud-native telecommunications networks. It examines the progression from manual processes to automated, intent-driven operations, with a focus on improving efficiency, reducing recovery times and ensuring operational consistency.
Participants explore how business and operational requirements are translated into policies and technical actions through orchestration and closed-loop control. Use cases include automated configuration management, service activation, self-healing, scaling and incident handling across RAN, core, transport and cloud environments.
The course also considers how AI and analytics support prediction, root cause analysis and proactive assurance. Throughout, emphasis is placed on the governance, verification and safety controls needed to introduce automation responsibly, retain appropriate human oversight and align with existing operational processes.
Course Modules
- Introduction to Zero Touch Operations (ZTO)
- Intent Driven Operations & Policy Automation
- Automating Operational Processes Across Network Domains
- AI Assisted Digital Operations
- Operational Governance, Safety & Trust Controls
Prerequisites
Participants should have a working understanding of telecommunications networks and basic familiarity with 5G and cloud computing concepts. Experience of network operations, service assurance, incident management or change management will be beneficial. No prior experience of AI, machine learning or programming is required.
Who the Course Is For
This course is intended for network operations and service assurance engineers, NOC specialists, technical architects, automation and orchestration professionals, and operational team leaders involved in improving telecommunications service delivery. It is particularly relevant to those responsible for provisioning, configuration, incident resolution, performance optimisation or operational governance in 5G and cloud-native networks.
Learning Outcomes
- Explain the evolution from manual operations to automated and intent-driven network management.
- Describe the roles of orchestration, assurance, closed-loop control and AI in network operations.
- Explain how intents are translated into policies and automated actions.Identify automation opportunities for provisioning, scaling, healing and service management.
- Describe automated remediation workflows, from detection to verification.Explain how automated ticketing and closed-loop processes improve operational efficiency.
- Describe how AI and analytics support prediction, anomaly detection and root cause analysis.Explain the role of NWDAF and analytics platforms in digital operations.
- Distinguish between human-led and autonomous operational tasks.Identify key governance, safety and control mechanisms for automation.
- Explain how zero-touch operations integrate with NOC/SOC and change management processes.
