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Introduction to Generative AI (GenAI) in 5G: The Next Wave of Intelligence

Introduction to Generative AI (GenAI) in 5G: The Next Wave of Intelligence

1h 41mBeginner2026-01-21

Authors

Rahul Kaundal

Rahul Kaundal

Itelcotech

Itelcotech

Course details

In this beginner-friendly course, Itelcotech founder Rahul Kaundal shows you how 5G and AI converge to create smarter, more autonomous, and highly efficient telecommunications networks. Designed for professionals seeking to understand how AI and next-generation networks are reshaping connectivity, this course breaks down complex topics into accessible concepts. Explore the evolution of mobile networks from 1G to 5G, including key technological shifts. Trace AI from basic rule-based systems to today’s transformative genAI. Learn how large language models and transformers work, examine their practical applications in telecom, and separate the hype from reality in AI adoption. Plus, dive into the architecture of modern 5G networks and find out how machine learning models, including diffusion models, are implemented to optimize performance and generate intelligent network solutions.

Learning objectives
Trace the evolution of mobile networks to 5G and explain its core design goals.
Define AI and generative AI, and outline their transformative journey and key use cases in telecom.
Describe the fundamental architecture and components of modern 5G networks.
Explain how machine learning, transformers, and LLMs function and their application in telecom solutions.
Evaluate the practical implementation of AI models, like diffusion models, for optimizing network performance and operations.

Concepts

Introduction

  • Introduction

5G Foundations

  • The road to 5G - How mobile networks evolved from 1G to 5G
  • Understanding 5G - The next generation of connectivity
  • The purpose behind 5G - What it s designed to achieve

The Generative AI Revolution in Telecom

  • Introduction to AI
  • What is AI
  • The evolution - From rule-based systems to generative AI
  • What is generative AI
  • How generative AI works - A step-by-step overview
  • The shift to creation - From reactive analysis to proactive simulation
  • Key use cases in telecom - Networks, CX, and operations
  • Disruption ahead - Autonomous networks and hyper-personalization
  • The hype vs. reality - Understanding the AI adoption cycle for Telcos

5G Network Building Blocks and Architecture

  • Inside telecom networks - An overview of modern connectivity
  • Building blocks of 5G - Components and capabilities
  • 5G core architecture - The brain of next-generation networks

Generative AI in Action - Telecom Case Studies

  • How machines learn to create
  • What are neural networks (Foundations for detection and prediction)
  • The breakthrough - Understanding transformers in modern telco AI
  • How does a large language model (LLM) work
  • From tokens to insights - How a telecom LLM generates reports
  • Hallucinations in AI - Why accuracy matters in networks
  • Prompt engineering - Getting better results from network AI
  • Foundational models - Building a network brain
  • Diffusion models and their use in Radio Access Network
  • Implementing a diffusion model - Generating optimal cell coverage

Conclusion

  • Conclusion

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