Intelligent 5G Systems: Architecture, AI, and Machine Learning

1. Overview of 5G

• Evolution of Telecom Technologies
• What is 5G?
• Technical Capabilities of 5G
• 5G Design Goals

2. AI Basics

• What is Artificial Intelligence (AI)?
• Case Study: How Siri Works
• Example: Telecom Chatbots Leveraging AI
• What is Machine Learning (ML)?
• Example: Netflix Recommendation System & Telecom Networks
• What is Deep Learning?
• How Facial Recognition Works
• Example: Detecting KPI Deviations and Traffic Spikes
• What is Generative AI (GenAI)?
• Example: AI-Driven Predictive Use Cases in Telecom

3. 5G Architecture

• Overview of Telecom Network Architecture
• Building Blocks of 5G
• Radio Access Network (RAN)
• Transport Network
• Core Network

4. Machine Learning & its implementation in Telecom

4.1 Machine Learning Basics

• Types of ML: Supervised, Unsupervised, Reinforcement
• ML Use Cases in Telecom Networks

4.2 Supervised Learning

• What is Supervised Learning ?
• Types of supervised learning
• Use of Supervised learning in Telecom

4.3 Linear Regression

• What is Linear Regression
• Hypothesis
• Cost Function
• Gradient Descent
• Use of linear regression in Telecom

4.4 Logistic Regression

• What is Logistic Regression
• Sigmoid Function