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AI is reshaping telecom operations, but moving from theory to production requires more than basic knowledge; gain the deeper skills and frameworks to design, deploy, and scale AI-native systems in live environments.
The telecom industry is undergoing a profound transformation, entering a phase where AI is no longer optional but essential. Communication Service Providers face rising complexity from 5G, edge computing, and the surge in data traffic. Networks must evolve from static automation to adaptive, AI-driven systems that can scale, self-optimize, and deliver new services at speed. This shift demands more than technology – it requires frameworks that ensure interoperability, governance, and trust, alongside the skills to operationalize AI responsibly.
This certification program is designed to take you deeper into the architectures, frameworks, and operational practices that make AI work at scale. It equips practitioners, architects, and technical leaders with the applied knowledge and practical frameworks needed, to design and deploy solutions that integrate machine learning, generative AI, and multi-agent systems into live environments.
Aligned with TM Forum’s latest standards and collaborative initiatives, the course bridges the gap between theory and production, empowering participants to design, deploy, and scale AI-driven and agentic solutions that deliver measurable business value.
Through real-world use cases and governance frameworks, the program addresses the technical and organizational challenges of AI adoption. On completion, you will earn Practitioner-level certification in Applied AI for Telecom, positioning you to lead AI-driven transformation and operationalize solutions that enable autonomous, resilient networks.
Level: Practitioner
Duration: 2 day + 1hr certification exam
Format: Virtual Instructor-led | Onsite.
Exam: Upon successful completion of the knowledge certification exam, candidates will receive a digital certificate from TM Forum. The certification consists of passing an online, multiple-choice, open-book exam.
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Skills Verified by Certification:
- Understand the evolving landscape of AI in telecoms
- 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.
Who should certify?
This certification is suitable for:
- Technical Architects and Solution Designers – Gain the depth needed to design AI-native architectures and integrate intent-based automation into complex telecom environments.
- Network and Operations Leaders – Learn how to operationalize AI-driven solutions that improve resilience, optimize performance, and enable closed-loop assurance.
- Data Scientists and AI Practitioners – Understand telecom-specific AI frameworks, from machine learning to generative models, and apply them in production-grade deployments.
- Business Strategists and Product Managers – Explore how AI delivers measurable business value and discover frameworks for aligning technical capabilities with strategic goals.
- Change Agents and Digital Transformation Leaders – Acquire the knowledge to guide organisational adoption
Certification syllabus
This certification covers the following topics of interest.
- Module 1: How AI is Transforming Telecoms: From Business Value to Scalable, Responsible Adoption
- Module 2: Applying AI in Telecoms: From Machine Learning to Large Language Models and Prompt Engineering
- Module 3: Generative AI in Telecoms: RAG, LLMOps and AI Agents
- Module 4: Intent-Driven Telecoms: Modeling, Expressing, and Structuring Business Goals for Autonomous Networks
- Module 5: Intent to Action: APIs, Reporting, and Closed-Loop Assurance in Telecom Automation
- Module 6: Scaling Intent and Closed Loops: Multi-Agent Systems, Knowledge Orchestration, and Autonomous Operations in Telecom
- Module 7: Operationalizing AI: Copilots & Agentic AI in Autonomous Telecom Services
- Certification Exam
Pre-requisite Knowledge
The following certifications are recommended, as they provide the basic knowledge of the TM Forums AN frameworks, concepts, and principles that are built upon in this practitioner’s course.
- AI Operations (AIOps) Fundamentals
- IDAN Fundamentals Certification
- AI Closed Loop Management Architecture Fundamentals
Certification Awarded
TM Forum Knowledge Certification – Applied AI in Telecoms Specialist Certification Practitioners Level.