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    Smart City Engineering With Retrieval Augmented Generation

    Posted By: ELK1nG
    Smart City Engineering With Retrieval Augmented Generation

    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 | 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