Web3 & AI Tips: Best Educational Resources on GitHub
Written by  Daisie Team
Published on 8 min read


  1. Introduction to Web3
  2. How to use GitHub
  3. Top AI resources on GitHub
  4. Top Web3 resources on GitHub
  5. How to learn AI with GitHub
  6. How to learn Web3 with GitHub
  7. Other educational resources on GitHub

Are you curious about exploring the worlds of Web3 and artificial intelligence (AI)? Maybe you've heard about these buzzwords and want to understand more. Or perhaps you're a seasoned tech enthusiast looking to dive deeper. Either way, you're in the right place. This blog will guide you through the best educational resources on GitHub for learning and mastering Web3 and AI. From beginners to experts, everyone will find something useful here. So, let's start our journey into the realms of 'web3 and ai educational resources on GitHub.'

Introduction to Web3

Web3, also known as the decentralized web, is the next big leap in the evolution of the internet. It aims to create a more equitable and user-centric online world. Unlike the current web (Web 2.0), where a few big companies have control over data and services, Web3 gives control back to users. It's all about decentralization, blockchain technologies, and smart contracts.

But what does all this mean, really? Let's break it down:

  • Decentralization: In Web3, no single entity has complete control. Instead, control is spread out among many users — kind of like how a group project works in school. Everyone gets a say!
  • Blockchain technologies: These are a type of database that stores information in blocks that are chained together. Imagine a chain of sticky notes, where each note is a block of data. This makes it really hard for anyone to cheat or mess around with the data, as all the sticky notes (blocks) are connected.
  • Smart contracts: These are self-executing contracts with the terms of the agreement directly written into code. Think of them as vending machines. You put in a coin (or in this case, cryptocurrency), and you get a soda (or whatever the contract is about).

Web3 is exciting because it opens up many new possibilities for how we interact online. But to fully tap into its potential, we need to understand it better. And what better place to start than with the wealth of 'web3 and ai educational resources on GitHub'? In the coming sections, we'll explore the best learning resources for Web3 and AI on this platform. So, get ready to dive in!

How to Use GitHub

GitHub is like a big, bustling city of code. It's where developers hang out, collaborate on projects, and share their creations with the world. If Web3 and AI are the exciting destinations, consider GitHub your vehicle for getting there.

Let's put it simply. GitHub is a platform where people store their code. It uses a system called Git that tracks changes to the code over time. This means if you make a mistake, you can easily go back to a previous version. Think of it as a time machine for your code. Cool, right?

Now, you may be wondering, "How do I use GitHub?" Don't worry, it's not as scary as it sounds. Here's a quick guide:

  1. Create an Account: Just like you'd sign up for any other online platform, you'll need to create an account on GitHub. Remember to choose a username that reflects your professional identity.
  2. Set Up a Repository: This is where you'll store your code. It's like a big digital drawer for all your projects. You can make this repository public for everyone to see, or private if you want to keep your work to yourself.
  3. Make Commitments: No, not the scary kind. In GitHub, a 'commit' is a saved change to your repository. It's like saving your progress in a video game. You can make as many commits as you like, and GitHub will keep track of them all.
  4. Collaborate and Contribute: GitHub is all about collaboration. You can invite others to work on your projects, or contribute to other people's projects. It's a great way to learn and grow as a developer.

Once you get the hang of GitHub, you'll find it's a goldmine of learning resources. The platform is chock-full of 'web3 and ai educational resources on GitHub' that can help you on your learning journey. So, are you ready to hit the road and explore?

Top AI Resources on GitHub

Now that you've got a grip on GitHub, it's time to dive into the ocean of resources it offers. Let's start with AI, or artificial intelligence. AI is like teaching a computer to think. It's a bit like training a dog, but instead of teaching it to fetch, you're teaching it to recognize patterns, make decisions, and solve problems.

So, where do you find 'web3 and ai educational resources on GitHub' for AI? Here are some top picks:

  1. Awesome Machine Learning: Don't let the name fool you, this repository is seriously awesome. It's a curated list of machine learning resources, tutorials, and projects. It's like a buffet for AI learners.
  2. TensorFlow: This is Google's open-source library for machine learning and artificial intelligence. It's a bit like a toolbox that gives you everything you need to build AI models.
  3. Scikit-learn: This is a free software machine learning library. It's simple and efficient, perfect for those starting their AI journey.
  4. Deep Learning Papers Reading Roadmap: This repository is a reading list for deep learning enthusiasts. It's like a book club, but for AI research papers.

These are just a few drops in the ocean of AI resources on GitHub. Remember, the best way to learn is by doing. So, why not pick a project and start experimenting? Happy coding!

Top Web3 Resources on GitHub

We've covered some fantastic AI resources, and now let's shift gears and explore the world of Web3. What's Web3, you ask? Well, if you think of the internet as a city, then Web3 is like the latest trendy neighborhood. It's where everything is decentralized and built using blockchain technology, giving users more control.

Finding 'web3 and ai educational resources on GitHub' for Web3 can seem challenging, but fear not. Here are some of the top Web3 resources on GitHub that can guide you through:

  1. Ethereum: Ethereum is a decentralized, open-source blockchain with smart contract functionality. Think of it as a giant machine that no one controls but everyone can use. It's a great place to start learning about Web3.
  2. Web3.js: This is a collection of libraries that allow you to interact with a local or remote Ethereum node. It's like a translator that lets your software talk to the Ethereum network.
  3. OpenZeppelin: OpenZeppelin offers reusable smart contracts for Ethereum and other blockchains. It's like a Lego set for building secure blockchain applications.
  4. Truffle: Truffle is a development environment, testing framework, and asset pipeline for Ethereum. It's a handy tool for building and managing your blockchain projects.

These resources offer a great starting point for your Web3 journey. Remember, the learning curve might be steep, but the view from the top is worth it. So, roll up your sleeves, fire up your computer, and start exploring the world of Web3.

How to learn AI with GitHub

GitHub is more than a hub for code; it's a treasure trove of knowledge, especially when it comes to AI. Here's a step-by-step guide on how to navigate the sea of 'web3 and ai educational resources on GitHub' and learn AI effectively:

  1. Familiarize Yourself with GitHub: If GitHub is new to you, take some time to get comfortable. It's like a big library; knowing how to use the catalog makes finding books a lot easier. GitHub has plenty of guides to help you navigate.
  2. Start with Basics: If you're new to AI, start with the basics. There are many repositories that offer beginner-friendly tutorials and guides. Look for resources on machine learning, neural networks, and data science.
  3. Participate in Projects: The best way to learn is by doing. Participate in open-source projects. It's like joining a study group: you learn from your peers, gain practical experience, and contribute to the community.
  4. Follow AI Experts: On GitHub, you can follow experts who share their knowledge and projects. It's like having a mentor who guides you through the AI landscape.
  5. Join Discussions: GitHub hosts a lot of discussions on various AI topics. Participate in these; ask questions, share your thoughts, and learn from others. It's a great way to deepen your understanding and stay updated on the latest AI trends.

Remember, learning AI is a journey, not a race. It's okay to make mistakes and ask questions. After all, even the experts were beginners once. So, embrace the learning process and enjoy the ride!

How to learn Web3 with GitHub

Web3, the future of the internet, is a popular buzzword these days. Understanding it might seem like a herculean task, but with GitHub, it becomes a lot simpler. Let's explore how you can dive into the world of Web3 using GitHub's rich educational resources:

  1. Understand the Concept: Web3 is a new generation of the internet, focusing on decentralization and blockchain technology. You can find plenty of resources on GitHub that explain these concepts in simple terms. Start there.
  2. Look for Web3 Repositories: Several GitHub repositories are dedicated to Web3. These contain code examples, tutorials, and documentation that will help you understand the implementation details.
  3. Contribute to Web3 Projects: As with AI, hands-on experience is invaluable. Contribute to Web3 projects on GitHub to sharpen your skills and learn from the community. You'll understand the practical challenges and solutions in the field.
  4. Follow the Leaders: Many industry leaders and innovators in Web3 are active on GitHub. Following these thought leaders gives you access to their insights and enables you to learn from their experiences.
  5. Engage in Web3 Conversations: GitHub is not just for code, it's a platform for idea exchange. Join discussions and forums related to Web3. It's a great way to learn about the latest developments and challenges in the field.

Web3 might seem like a complex beast, but remember, every expert was once a beginner. So, engage, learn, contribute, and before you know it, you'll find yourself at home in the exciting world of Web3.

Other educational resources on GitHub

GitHub isn't just a treasure trove for Web3 and AI enthusiasts. It's a goldmine for learners of all stripes, covering a vast array of subjects. So, what else can you learn on GitHub? Let's take a look:

  1. Programming Languages: Whether it's Python, Java, C++, or a lesser-known language like Rust, GitHub's got you covered. You can find tons of repositories dedicated to teaching these languages, from basic syntax to complex concepts.
  2. Data Science: The world runs on data, and GitHub is full of resources to help you navigate this field. From statistical analysis, machine learning models, to visualizing data, there's a lot to explore.
  3. Cybersecurity: With the world becoming more digital, cybersecurity is more important than ever. GitHub houses a wealth of resources to help you understand the ins and outs of securing digital assets.
  4. Game Development: Interested in making your own game? GitHub boasts resources and tutorials for various game engines and platforms, including Unity, Unreal Engine, and Godot.
  5. Web Development: From frontend to backend, GitHub has resources for all aspects of web development. HTML, CSS, JavaScript, React, Node.js — you name it, GitHub has it.

Remember, the more you explore, the more you find. So, jump in and start learning. The world of GitHub is your oyster!

If you're excited to dive deeper into web3 and AI technology, be sure to check out Tom Glendinning's workshop, 'Start Your web3 Journey.' This workshop offers valuable insights and resources to help you navigate the world of web3 and AI, setting you on the right path to success in this cutting-edge field.