MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
You will design and program smart contracts in Solidity language, test and deploy them in the Remix development environment, and invoke them from a simple web interface that Remix provides. This course features best practices for designing solutions with smart contracts using Solidity and Remix IDE.
Main concepts are delivered through videos, demos and hands-on exercises.
Course 2 of 4 in the Blockchain Specialization.
What you will learn
This second course of the Blockchain specialization will help you design, code, deploy and execute a smart contract.
Syllabus
WEEK 1
Smart Contract Basics
The purpose of this module is to introduce the reasons for a smart contract and its critical role in transforming blockchain technology from enabling decentralized systems. We will explore the structure and basic concepts of a smart contract through examples, and illustrate Remix (remix.ethereum.org) web IDE for deploying and interacting with a smart contract.
WEEK 2
Solidity
Our goal is to master the basics of Solidity, a high-level language that is a combination of Javascript, Java and C++. It is specially designed to write smart contracts and to target the Ethereum Virtual Machine. Learners will be able to follow demonstrations and practice using Solidity.
WEEK 3
Putting it all Together
This module focuses on the development of the Ballot smart contract incrementally to illustrate various features including time dependencies, validation outside the function code using access modifiers, asserts and require declarations, and event logging.
WEEK 4
Best Practices
This module will focus on best practices including evaluating whether a blockchain-based solution is suitable for your problem, designing Solidity smart contracts, and those relating to Remix IDE.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.