Skip to content Skip to sidebar Skip to footer

5G & Ai For Everyone

5G & Ai For Everyone

MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.58 GB | Duration: 2h 54m

5G & AI Overview, 5G Architecture, Use cases of AI, Machine learning, deep learning, Gen AI in telecom

What you’ll learn

5G Overview

Artificial Intelligence Basics

AI use in Telecom

5G Network Architecture

Machine Learning & its implementation in Telecom

Machine Learning Basics

Supervised Learning

Linear Regression

Logistic Regression

Requirements

It is a course for everyone from beginner to expert level

Description

5G, known as fifth generation, is a technology focused on providing better wireless connectivity in telecom domain by enabling -•Enhanced broadband (eMBB)•Massive machine to machine communication (MMTC)• Ultra reliable low latency communication (URLLC)AI and Machine learning is fueling the efficiency in Telecom with new use cases- including predictive analytics, network optimization, data-driven planning.1. Overview of 5GEvolution of Telecom TechnologiesWhat is 5G?Technical Capabilities of 5G5G Design Goals2. AI BasicsWhat is Artificial Intelligence (AI)?Case Study: How Siri WorksExample: Telecom Chatbots Leveraging AIWhat is Machine Learning (ML)?Example: Netflix Recommendation System & Telecom NetworksWhat is Deep Learning?How Facial Recognition WorksExample: Detecting KPI Deviations and Traffic SpikesWhat is Generative AI (GenAI)?Example: AI-Driven Predictive Use Cases in Telecom3. 5G ArchitectureOverview of Telecom Network ArchitectureBuilding Blocks of 5GRadio Access Network (RAN)Transport NetworkCore Network4. Machine Learning & its implementation in Telecom4.1 Machine Learning BasicsTypes of ML: Supervised, Unsupervised, ReinforcementML Use Cases in Telecom Networks4.2 Supervised LearningWhat is Supervised Learning ?Types of supervised learningUse of Supervised learning in Telecom4.3 Linear RegressionWhat is Linear RegressionHypothesisCost FunctionGradient DescentUse of linear regression in Telecom4.4 Logistic RegressionWhat is Logistic RegressionSigmoid Function

Overview

Section 1: 5G Overview

Lecture 1 Introduction

Lecture 2 Evolution of Telecom Technologies

Lecture 3 What is 5G?

Lecture 4 Technical Capabilities of 5G

Lecture 5 5G Design Goals

Section 2: Artificial Intelligence (AI) Basics

Lecture 6 Introduction

Lecture 7 What is Artificial Intelligence (AI) and its use in Telecom Chatbot

Lecture 8 What is Machine Learning (ML) and its use – Recommendations

Lecture 9 What is Deep Learning and its use in Detecting NW KPI Deviation

Lecture 10 What is Generative AI (GenAI) and its use in Telecom Chatgpt

Section 3: 5G Architecture

Lecture 11 Introduction

Lecture 12 Overview of Telecom Network Architecture

Lecture 13 Building Blocks of 5G

Lecture 14 Radio Access Network (RAN)

Lecture 15 Transport Network

Lecture 16 Core Network

Lecture 17 5G New Radio

Section 4: Machine Learning & its implementation in Telecom

Lecture 18 Machine Learning & its types

Lecture 19 Machine Learning in Telecom

Lecture 20 Supervised Learning

Lecture 21 Linear Regression

Lecture 22 Logistic Regression

Suitable for the engineers working in 5G and AI space or planning to get into technical domain of 5G and AI,Suitable for Managers working in telecom operators and planning to deploy or manage 5G networks,Suitable for beginners who are interested to get into telecom domain and learn new technology such as 5G and AI

AFIAGDFEGRTGTAIEUFORUEHESVDGTAYEO

you must be registered member to see linkes Register Now

Leave a comment