Smart City Engineering with Retrieval Augmented Generation

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Free Download Smart City Engineering with Retrieval Augmented Generation
Published 3/2024
Created by Feras Naser
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 85 Lectures ( 5h 32m ) | Size: 4.68 GB

Build novel smart city platforms & Unlock city insights with retrieval augmented generation (RAG)
What you'll learn:
Retrieval Augment Generation
Vector Databases
Database Design
Smart City Engineering
Smart City Platforms Design
Smart City Applications using Retrieval Augmented Generation
Requirements:
Python
Engineering Background
Description:
This course is a smart city engineering course that aims to help you design novel smart city platforms with the help of retrieval augmented generation (RAG) and vector database. In this course you will learn how to think about the city citizen centric needs and how to address these needs in an effective manner using physical and digital platforms. The course outline will cover the following topics: - Chapter 1: Building Smart City Platforms - Using AI- Chapter 2: Building a Citizen Centric Smart City Platforms- Chapter 3: Building Databases for Modern Smart City Platforms- Chapter 4: Modern Smart City Platforms - Global Case Studies- Chapter 5: Practical Applications USING RAG technology.We will study global cities and the various platforms of social activities they conduct to address their citizens needs. We will look carefully into the following platforms: •Section 1: Workstations - Global Case Studies•Section 2: Social Platforms - Global Case Studies•Section 3: Relationship Platforms - Discussion•Section 4: Capacity Building Platforms - Global Case Studies•Section 5: Production Space Platforms - Global Case StudiesIn this course, you will learn how to design database schemas, how to collect data from the city and how to transfer this data into vector embeddings and store it in a vector datastore. This will result in giving you the ability to apply Retrieval Augmented Generation search using Large Language Models such GPT4 and Gemini.This course is seen as one of the most advanced courses in the world in this novel area, it will make a great difference on how much you can create.
Who this course is for:
City Urban Planners
Transport and Traffic Engineers
Software Developers
Cloud Solutions Development
Architects
Entrepreneurs and Business Enthusiasts
Community Builders
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Smart City Engineering With Retrieval Augmented Generation
Published 3/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English​
| Size: 4.49 GB[/center]
| Duration: 5h 31m
Build novel smart city platforms & Unlock city insights with retrieval augmented generation (RAG)

What you'll learn

Retrieval Augment Generation

Vector Databases

Database Design

Smart City Engineering

Smart City Platforms Design

Smart City Applications using Retrieval Augmented Generation

Requirements

Python

Engineering Background

Description

This course is a smart city engineering course that aims to help you design novel smart city platforms with the help of retrieval augmented generation (RAG) and vector database. In this course you will learn how to think about the city citizen centric needs and how to address these needs in an effective manner using physical and digital platforms. The course outline will cover the following topics: - Chapter 1: Building Smart City Platforms - Using AI- Chapter 2: Building a Citizen Centric Smart City Platforms- Chapter 3: Building Databases for Modern Smart City Platforms- Chapter 4: Modern Smart City Platforms - Global Case Studies- Chapter 5: Practical Applications USING RAG technology.We will study global cities and the various platforms of social activities they conduct to address their citizens needs. We will look carefully into the following platforms: •Section 1: Workstations - Global Case Studies•Section 2: Social Platforms - Global Case Studies•Section 3: Relationship Platforms - Discussion•Section 4: Capacity Building Platforms - Global Case Studies•Section 5: Production Space Platforms - Global Case StudiesIn this course, you will learn how to design database schemas, how to collect data from the city and how to transfer this data into vector embeddings and store it in a vector datastore. This will result in giving you the ability to apply Retrieval Augmented Generation search using Large Language Models such GPT4 and Gemini.This course is seen as one of the most advanced courses in the world in this novel area, it will make a great difference on how much you can create.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Who is Feras Naser?

Lecture 3 Course Promo 1

Lecture 4 Course Promo 2

Lecture 5 Course Structure

Lecture 6 Course Resources

Section 2: Building Smart City Platforms - Using AI

Lecture 7 Introduction

Lecture 8 City & Urban Infrastructure Challenges | Recap

Lecture 9 Novel City Platforms

Lecture 10 Introduction | Physical & Digital Components

Lecture 11 Digital Components | Databases

Lecture 12 Example: Selecting a Smart City Service for Development

Lecture 13 Building a Database Schema

Lecture 14 Example 1 :Building A Database Schema

Lecture 15 Example 2: Creating Dummy Database

Lecture 16 Collecting City Data

Lecture 17 Example : Database Collection Service

Lecture 18 Example 2: Database Collection with Airtable, Zapier and Google Forms

Lecture 19 Storing the Data in a Vector Store

Lecture 20 Intellectual Proprietary Technology | Example

Lecture 21 PINECONE API EXAMPLE

Lecture 22 OPENAI API EXAMPLE

Lecture 23 Uploading Data to A Vector Database - Data.py

Lecture 24 Querying the Data from a Vector Database - Query.py

Lecture 25 Building a RAG System

Lecture 26 CustomGPT System

Lecture 27 Building a Middleware - Middleware.py

Lecture 28 Deploying the Middleware - Digital Ocean Apps

Lecture 29 Connecting the Middleware - CustomChatGPT

Lecture 30 Building a Customer interface with the RAG System

Lecture 31 Checking for RAG system Accuracy & Monetization

Lecture 32 Conclusion

Section 3: Building a Citizen Centric Smart City Platforms

Lecture 33 Promo4

Lecture 34 Chapter Introduction

Lecture 35 Chapter Sections Intro

Lecture 36 Chapter Structure

Lecture 37 Introduction to People Needs in Modern Cities

Lecture 38 Introduction to People Needs in Modern Cities - Slides

Lecture 39 Smart City Platforms for Accessing Funds

Lecture 40 Smart City Platforms for Accessing Funds - Slides

Lecture 41 Smart City Platforms for Social Vibrant Life

Lecture 42 Smart City Platforms for Social Vibrant Life - Slides

Lecture 43 Smart City Platforms for Love & Intimate Relationships

Lecture 44 Smart City Platforms for Love & Intimate Relationships

Lecture 45 Smart City Platforms for Love & Intimate Relationships - Slides

Lecture 46 Smart City Platforms for Improving Personal Capacity

Lecture 47 Smart City Platforms for Improving Personal Capacity - Slides

Lecture 48 Smart City Platforms for Production Space

Lecture 49 Smart City Platforms for Production Space - Slides

Lecture 50 Database Schemas Examples

Section 4: Building Databases for Modern Smart City Platforms

Lecture 51 Chapter Introduction - Slides

Lecture 52 Chapter Content Details - Slides

Lecture 53 Databases for Job Stations

Lecture 54 Databases for Job Station - Slides

Lecture 55 Databases for Social Platforms

Lecture 56 Databases for Social Platforms - Slides

Lecture 57 Databases for Relationships Platforms

Lecture 58 Databases for Relationships Platforms - Slides

Lecture 59 Databases for Capacity Building Platforms

Lecture 60 Databases for Capacity Building Platforms - Slides

Lecture 61 Databases for Production Spaces

Lecture 62 Databases for Production Spaces - Slides

Lecture 63 Conclusion

Lecture 64 Chapter 3 - Conclusion Slides

Section 5: Modern Smart City Platforms - Global Case Studies

Lecture 65 Chapter Introduction

Lecture 66 Chapter Sections

Lecture 67 Workstations - Mega City Projects - Global Case Studies

Lecture 68 Workstations - Mega City Projects - Global Case Studies | Slides

Lecture 69 Workstations - Shared Work Spaces, Incubators & Online Learning

Lecture 70 Workstations - Shared Work Spaces, Incubators & Online Learning | Slides

Lecture 71 Workstations - Other Examples

Lecture 72 Workstations - Other Examples | Slides

Lecture 73 Social Platforms 1 | Religious & Education Infrastructure - Carnivals

Lecture 74 Social Platforms 1 | Slides

Lecture 75 Social Platforms 2 | Stadiums, Theatres and Religious Festivals

Lecture 76 Social Platforms 2 | Slides

Lecture 77 Social Platforms 3 | Other Examples

Lecture 78 Social Platforms 3 | Other Examples Slides

Lecture 79 Relationship Platforms - Discussion

Lecture 80 Relationship Platforms - Slides

Lecture 81 Capacity Building Platforms - Global Case Studies

Lecture 82 Capacity Building Platforms - Slides

Lecture 83 Production Space Platforms - Global Case Studies

Lecture 84 Production Space Platforms - Slides

Lecture 85 Chapter Conclusion

City Urban Planners,Transport and Traffic Engineers,Software Developers,Cloud Solutions Development,Architects,Entrepreneurs and Business Enthusiasts,Community Builders
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Smart City Engineering with Retrieval Augmented Generation
 
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