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Autonomous Networks for Leaders

40 min

eLearning

€ 95*

*Prices exclude VAT

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Course Contents

This leadership-focused course explains what autonomous networks really are, separating scripted automation and AI-assisted operations from genuine autonomy. Participants examine the Level 0-5 autonomy ladder from TM Forum and 3GPP, closed-loop architecture, intent-based management, data and brownfield constraints, and agentic AI. 

It also covers graded trust, delegated authority, accountability, and building value cases that start from one bounded, measurable scenario.

Target Audience

This course is intended for leaders and technical decision-makers who need a clear, structured understanding of autonomous network operations. It is ideal for executives, network strategists, and architects who must evaluate vendor claims, maturity levels, and business cases for autonomy. The course also suits operations managers, transformation leads, and technical professionals from telecom and adjacent industries who need to separate genuine autonomous capability from automation and AI-assisted hype.

Learning Objectives

By the end of this course, you will be able to:

  • – Distinguish automation, AI-assisted operations, and genuine autonomy.
  • – Apply the Level 0 to Level 5 autonomy ladder to assess maturity claims.
  • – Explain how closed loops sense, decide, act, and verify outcomes.
  • – Describe the role of intent, knowledge graphs, and governed data.
  • – Evaluate where agentic AI and Level 4 autonomy deliver real value today.
  • – Identify data and integration gaps that limit autonomy at scale.
  • – Assess trust, authority, and accountability as engineered design choices.
  • – Connect business objectives to measurable autonomy indicators.
  • – Define a bounded starting scenario and scale it responsibly.
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Course outline

From Automation to Autonomy

• Course Overview and Roadmap
• One Degradation, Three Responses
• Defining an Autonomous Network
• Automation, AI Advice and Autonomy

The Autonomy Ladder

• The Six Levels of Network Autonomy
• From Conditional to High Autonomy

Inside the Autonomous Loop

• The Closed Loop Step by Step
• The Capability Stack Beneath Autonomy
• Managing Networks by Intent

Level 4, Agents and Data Reality

• High-Value Level 4 Scenarios
• Agents as Bounded Actors
• The Real Bottleneck to Scaling

Trust, Authority and Accountability

• The Trust Architecture
• Delegating Decision Rights

Proving Value and Where to Start

• Building the Value Case
• Five Steps to Scaled Autonomy
• Key Takeaways

Prerequisites

No specific prior knowledge is required. A general background in telecom operations or network management will be helpful, and familiarity with basic concepts such as closed-loop systems, KPIs, or AI-assisted tools may enhance understanding.