How AI Is Transforming Telecom Networks? | AI in Telecom Live Demo | TelcoLearn

Why It Matters

Accelerating AI expertise among telecom talent shortens the path to intelligent, automated networks, giving operators a competitive edge in cost efficiency and service innovation.

Key Takeaways

• AI/ML course targets telecom professionals with hands‑on cloud labs.
• Curriculum covers 5G fundamentals, RAN, core, and generative AI.
• Emphasis on X‑app and R‑app development for real‑time optimization.
• Use cases include anomaly detection, traffic classification, and spectrum sharing.
• Course runs eight weeks starting Feb 21, with recordings and group discounts.

Summary

TelcoLearn announced an eight‑week, cloud‑based AI and ML in Telecom course designed to equip engineers, managers, and students with practical skills for deploying artificial‑intelligence solutions across modern telecom networks.

The syllabus begins with 5G fundamentals and KPI basics, then moves through signaling, Open RAN, Python for data processing, machine‑learning models, deep‑learning anomaly detection, optimization, and concludes with generative AI and a look toward 6G. Each week includes hands‑on labs that run on cloud infrastructure, eliminating the need for high‑end local hardware.

Instructors highlight real‑world components such as the 5G core’s NWDAF analytics function, RAN X‑apps for real‑time inference, and R‑apps for model training. Sample use cases span traffic classification, dynamic spectrum sharing, coverage optimization, and self‑organizing network orchestration.

By delivering a structured, industry‑aligned curriculum, the program aims to accelerate AI adoption across operators, equipment vendors, and service providers, helping them reduce operational costs, improve network performance, and create new revenue streams as the industry transitions toward 6G.

Original Description

Welcome to the AI in Telecom Live Demo Session.

In this session, you will understand how Artificial Intelligence and Machine Learning are actually used inside real telecom networks — not theory, but practical industry scenarios.

We will cover:

✔ Where AI fits in 4G & 5G Architecture

✔ AI use-cases in RAN Optimization, Fault Prediction & Automation

✔ KPI Analytics and Anomaly Detection

✔ GenAI for Telecom Operations & Engineers

✔ Career roadmap for Telecom Engineers moving into AI

✔ Overview of our Hands-on AI in Telecom Training Program

This session is designed for:

• Telecom Engineers (RAN / Core / RF / NOC / OSS)

• Freshers entering telecom industry

• Network Optimization Engineers

• Professionals planning to transition into AI/ML

• Anyone working in 4G/5G/6G domain

By the end of this demo, you will clearly understand:

👉 What to learn

👉 Why AI matters in telecom

👉 How to start practically

📌 About TelcoLearn

TelcoLearn provides specialized training in 5G, Open RAN, TelcoCloud and AI/ML for Telecom with hands-on labs.

🌐 Website: www.TelcoLearn.com

📧 Contact: [e-mail]

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