Artificial Intelligence in Telecom: Building Intelligent Networks
1h 47mIntermediate2026-04-13
Authors

Rahul Kaundal

Itelcotech
Course details
Explore the dynamic intersection of Artificial Intelligence (AI) and Telecommunications, creating a foundation for understanding how AI transforms global networks. Learn about the fundamentals of telecommunications, including RAN, Transport, and Core networks, and discover the impact of 5G technologies. Build your understanding of AI, from machine learning to generative AI, including capabilities like anomaly detection and network simulation. Dive into key topics like AI's role in developing self-healing networks, traffic prediction, and enhancing cybersecurity. Plus, examine business transformations, such as smart chatbots, energy-efficient networks, and predictive maintenance. Ideal for professionals working in the telecom industry, AI Engineers, and technical enthusiasts, this course shows you how AI drives more efficient, responsive telecom networks, enhancing customer experiences and operational outcomes.
Learning objectives
Explain the fundamental building blocks of telecommunications networks—including RAN, Transport, and Core—and describe how data travels through both wireless and wired infrastructure.
Analyze the transformative capabilities of 5G, including its key superpowers (speed, latency, massive connections) and enabling technologies like MIMO, beamforming, and network slicing.
Differentiate between core AI concepts—including machine learning, deep learning, and generative AI—and map their evolution from simple automation to advanced cognitive systems in a telecom context.
Evaluate how AI techniques, such as anomaly detection and predictive modeling, enable self-healing networks, traffic prediction, and enhanced cybersecurity within modern telecom operations.
Assess the business transformation potential of AI in telecom, including applications in customer experience (smart chatbots), operational efficiency (energy savings, predictive maintenance), and network innovation using generative AI.
Design conceptual frameworks for integrating generative AI assistants (such as TelecomGPT) into network management, customer experience, and operational workflows.
Learning objectives
Explain the fundamental building blocks of telecommunications networks—including RAN, Transport, and Core—and describe how data travels through both wireless and wired infrastructure.
Analyze the transformative capabilities of 5G, including its key superpowers (speed, latency, massive connections) and enabling technologies like MIMO, beamforming, and network slicing.
Differentiate between core AI concepts—including machine learning, deep learning, and generative AI—and map their evolution from simple automation to advanced cognitive systems in a telecom context.
Evaluate how AI techniques, such as anomaly detection and predictive modeling, enable self-healing networks, traffic prediction, and enhanced cybersecurity within modern telecom operations.
Assess the business transformation potential of AI in telecom, including applications in customer experience (smart chatbots), operational efficiency (energy savings, predictive maintenance), and network innovation using generative AI.
Design conceptual frameworks for integrating generative AI assistants (such as TelecomGPT) into network management, customer experience, and operational workflows.
Concepts
Introduction
- Introduction
AI and Telecom Foundations
- How AI is transforming telecommunications
- How networks actually work - A simple analogy
- Cellular networks explained - Towers, signals, and devices
- Your learning journey from basics to AI mastery
Telecom Network Building Blocks
- The three layers - RAN, transport, and core (made simple)
- Radio access network - Your phone's connection point
- Wireless magic - How data travels through air
- Wired world - Fiber optics and backbone networks
5G Revolution
- 5G demystified - More than just faster internet
- 5G's superpowers - Speed, latency, and massive connections
- Smart antennas - MIMO and beamforming explained
- Network slicing - Custom networks-on-demand
AI Basics for Telecom
- What is AI Everyday examples you already use
- Telecom's AI journey - From simple to smart
- ML explained - Teaching computers to learn
- Case study - Netflix recommendations telecom personalization
Advanced AI Techniques - Deep Learning and Gen AI
- Deep learning - How computers see and understand
- Anomaly detection - Finding network problems automatically
- Evolution of artificial intelligence toward generative models
- Overview of generative AI concepts
- End-to-end process of generative AI systems
- Generative AI as a tool for simulation and innovation
- GenAI explained - GPT and beyond
- TelecomGPT - AI assistants for network management
AI and Telecom Convergence
- Self-healing networks - AI that fixes problems
- Traffic prediction - Avoiding network congestion
- AI for customer experience monitoring
- Cybersecurity - AI vs. network threats
Business Transformation Using AI in Telecom
- Smart chatbots - 24 7 customer support
- Personalized services - AI knows what you need
- Energy saving - AI for green networks
- Predictive maintenance - Fix before it breaks
- GenAI use in telecom - Networks, CX, and operations
Conclusion
- Conclusion