Generative & Agentic AI for Telecom Operations
How large language models and AI agents change network operations — RAG over network documentation, agents for troubleshooting and ticket handling, tool use with OSS/APIs, guardrails, evaluation and deployment patterns.
- المدة
- 3 أيام
- المستوى
- Advanced
- طريقة التقديم
- Live Online · Classroom · On-Site Corporate
- الموقع
- Live Online · Dubai · GCC
- Certificate
- شهادة إتمام
- Format
- بقيادة مدرب
Course overview
Generative AI is moving from experiments into NOC and engineering workflows. This program covers LLM fundamentals, retrieval-augmented generation on telecom knowledge, agent architectures that can call network tools, and the safety and evaluation practices required before production use.
Who should attend
- Operations and NOC leads
- Automation and OSS engineers
- AI/ML teams in operators and vendors
- Engineering managers
Prerequisites
- Basic Python and network operations knowledge
Learning objectives
- 1Explain LLM capabilities and limits for telecom
- 2Build RAG on network documentation and procedures
- 3Design agents with tool use over network APIs
- 4Define guardrails, evaluation and human-in-the-loop controls
- 5Plan AIOps integration
Detailed curriculum
01Foundations
- LLMs, prompting and context
- Embeddings and retrieval
- Model options and hosting
02RAG for Telecom
- Knowledge bases from specs, MOPs and tickets
- Chunking and evaluation
- Citations and accuracy
03Agents
- Agent architectures
- Tool use over OSS/APIs
- Multi-agent workflows
- Safety and permissions
04Operations
- AIOps integration
- Evaluation and monitoring
- Governance and data privacy
- Roadmap for autonomous operations
Day-by-day agenda
Day 1
- Foundations
- RAG for Telecom
Lecture, whiteboard analysis, exercises and lab time.
Day 2
- Agents
- Operations
Lecture, whiteboard analysis, exercises and lab time.
Hands-on exercises & labs
- Build a RAG assistant over a telecom document set
- Create an agent that queries network data and proposes actions
- Evaluation harness workshop
Skills gained
Instructor
Instructor profile — to be added
Name, engineering background and delivery experience of the assigned instructor will be published here. No credentials are shown until confirmed.
Training methodology
Instructor-led
Concepts explained by engineers with delivery experience, at whiteboard depth.
Trace & case driven
Real message flows, counters and scenarios connect theory to network behaviour.
Hands-on
Labs and design workshops matched to the program and delivery mode.
Available locations
Live online region-wide. Classroom and on-site delivery available in Dubai and across major GCC locations, arranged per cohort or corporate engagement.
Upcoming schedule
| طريقة التقديم | الموقع | المدة | الدفعة القادمة | |
|---|---|---|---|---|
| مباشر عبر الإنترنت | Live Online | 3 أيام | Q4 2026 · المواعيد ستُعلن لاحقاً | تسجيل الاهتمام |
Cohort dates are published when confirmed. Register interest to be notified first, or request a corporate delivery on your own dates.
Frequently asked questions
Live online programs are delivered in real time by an instructor over video with shared labs and interactive Q&A. Classroom programs are delivered face to face in Dubai or other GCC locations, with the instructor and lab environment in the room. Both use the same curricula and instructors.
Programs are built on 3GPP, O-RAN and industry standards and are vendor-agnostic by default. Corporate deliveries can include vendor-specific parameter mapping and scenarios where required.
Participants who complete a program receive a Teleriu certificate of completion. Teleriu programs are professional technical training and are not affiliated with any certification body unless explicitly stated.
Related programs
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Bring Agentic AI for Telecom to your engineering team
Customised for your vendors, architecture and objectives — delivered on-site, in the classroom or live online.