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Smart City Engineering with Retrieval Augmented Generation
Rating: 3.9 out of 5(7 ratings)
39 students

Smart City Engineering with Retrieval Augmented Generation

Build novel smart city platforms & Unlock city insights with retrieval augmented generation (RAG)
Created byFeras Naser
Last updated 3/2024
English
English [Auto],

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

Course content

5 sections85 lectures5h 32m total length
  • Introduction3:25

    Explore how to design citizen-centric platforms in smart cities using retrieval augmented generation and serverless vector databases, powered by GPT-4 and Gemini Alpha, to address citizens' needs and congestion.

  • Who is Feras Naser?3:25

    Meet a global co-creation authority who shares his journey and credentials in smart city innovation. Explore retrieval augmented generation within smart city contexts.

  • Course Promo 10:50

    Explore advanced smart city engineering by building city platforms through retrieval augmented generation with GPT-4, developing insights and solutions that address residents' needs.

  • Course Promo 21:01

    Explore how to develop RAG systems and build novel city platforms with generative AI to address emerging urban needs in smart and sustainable cities.

  • Course Structure3:25

    Outline the four chapters: building smart cities with generative AI, novel city platforms, databases and schemas for data and AI, and global case studies.

  • Course Resources0:02

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 Studies

In 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