Introduction to Telco Generative Artificial Intelligence
This immersive training introduces users to the transformative potential of Generative AI within the telecom industry. Through a blend of foundational theory and hands-on labs, learners will explore how GenAI can be applied across telecom operations, from customer service to network optimization. The training covers essential topics such as model types, prompt engineering, responsible AI, and practical telecom use cases, providing real-world tools to build AI-driven telecom solutions.
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About The Lab
Prerequisites
Audiences
Lab Architecture
The lab environment integrates cloud-based LLMs with telecom-specific use. It includes access to conversational AI models, embedding tools, vector databases, and prompt-tuning interfaces. Participants will interact with a modular RAG setup and run hands-on tasks like building chatbots, summarizing network alarms, and deploying agent-based assistants tailored for telecom scenarios.
Why this Lab ?
This training focuses on the fundamental concepts, key use cases, ethical considerations, and future trends of Generative AI in the telecom industry. Participants will gain insights into how Generative AI can enhance customer service, optimize network performance, and predict maintenance needs. Through a blend of theoretical knowledge and interactive labs, this course aims to build a solid foundational understanding of Generative AI applications in telecoms.
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Lab Objectives
- Understand the foundations and business value of Generative AI in telecom.
- Design and evaluate prompts for telecom-specific tasks and chatbots.
- Implement Retrieval-Augmented Generation (RAG) using telecom knowledge bases.
- Compare reasoning capabilities of different LLM models.
- Build end-to-end GenAI use cases such as network alarm summarization and agent creation.
