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Smart City Engineering with Retrieval Augmented Generation
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
Homepage
https://www.udemy.com/course/ragaugmentedgeneration/
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