Description
The Applying AI in Telecoms Practitioner Level course builds on foundational knowledge to focus on how AI is designed, deployed, and operated in real telecom environments. It explores how communication service providers move from experimentation to production by using practical frameworks, architectures, and governance approaches that support scalable and responsible AI adoption. The course develops the skills needed to integrate machine learning, generative AI, and multi-agent systems into live networks, while addressing interoperability, trust, and operational complexity. Through applied use cases aligned with TM Forum standards, participants learn how to design AI-driven solutions that enable closed-loop automation, support intent-based operations, and deliver measurable business value
The course is in three parts, each providing details on different aspects of the Autonomous Networks.
- Module 1 - AI & GenAI in Telecoms: From Foundations to Intelligent Agents
- Module 2 - Intent‑Driven Automation in Telecoms: APIs, Closed Loops, and Assurance
- Module 3 - Autonomous Telecom Networks: Multi-Agent Systems and Scalable AI Operations
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Objectives
What Will You Learn?
- The evolving landscape of AI in telecoms
- How to evaluate and apply AI methods and architectures, from ML, to Agentic AI.
- Design and operationalize AI-driven solutions .
- Integrate intent-based and closed-loop automation frameworks.
- Address the organizational, ethical, and governance considerations.
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