Book Image

Practical Artificial Intelligence and Blockchain

By : Ganesh Prasad Kumble
Book Image

Practical Artificial Intelligence and Blockchain

By: Ganesh Prasad Kumble

Overview of this book

AI and blockchain are two emerging technologies catalyzing the pace of enterprise innovation. With this book, you’ll understand both technologies and converge them to solve real-world challenges. This AI blockchain book is divided into three sections. The first section covers the fundamentals of blockchain, AI, and affiliated technologies, where you’ll learn to differentiate between the various implementations of blockchains and AI with the help of examples. The second section takes you through domain-specific applications of AI and blockchain. You’ll understand the basics of decentralized databases and file systems and connect the dots between AI and blockchain before exploring products and solutions that use them together. You’ll then discover applications of AI techniques in crypto trading. In the third section, you’ll be introduced to the DIApp design pattern and compare it with the DApp design pattern. The book also highlights unique aspects of SDLC (software development lifecycle) when building a DIApp, shows you how to implement a sample contact tracing application, and delves into the future of AI with blockchain. By the end of this book, you’ll have developed the skills you need to converge AI and blockchain technologies to build smart solutions using the DIApp design pattern.
Table of Contents (15 chapters)
Section 1: Overview of Blockchain Technology
Section 2: Blockchain and Artificial Intelligence
Section 3: Developing Blockchain Products

Testing the sample DIApp

Unfortunately, due to the limited scope of this book, we cannot cover too much on testing, so I will point you to some relevant resources in this section.

  • Testing smart contracts: Truffle is one of the most renowned toolchains for Solidity smart contract development. You can follow the test instructions mentioned in their documentation, which are available at the following link:
  • Testing sensor implementation: The sensor application is implemented using basic Python programming skills. You may have already observed that the script interacts with the Google Maps Geolocation API, Ethereum, and MóiBit. Hence, I suggest that you heavily test the HTTP client code. I highly encourage you to perform unit testing with as many test cases as possible. You can learn all about testing basic Python code by viewing the Python documentation that's available at the following link: https://docs...