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Introductory bootcamp for introducing the concepts of decentralized AI agents

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# AI2Web3 Bootcamp

Introduction to decentralized AI agents development.

## Introduction

Welcome to the **AI2Web3 Bootcamp**. This repository houses all the necessary instructions and resources for an immersive 5-days program designed to equip students with cutting-edge techniques for developing applications using **Generative Artificial Intelligence** for **Decentralized AI Agents**.

Our bootcamp emphasizes a **hands-on** and **project-based** approach, allowing students to learn concepts and immediately apply them to real-world challenges. While we don't dive into the depths of AI or Web3 research itself, our focus is on the **practical applications** of these technologies for building **Decentralized AI Agents**.

Throughout this program, students will gain proficiency with the latest AI tools and technologies for building Decentralized AI Agents with industry best practices from experts in the AI and Web3 fields.

Upon successful completion of the bootcamp, participants will have acquired:

- A comprehensive overview of state-of-the-art Generative AI models and tools
- Expertise in AI techniques for image and text recognition and generation
- Familiarity with industry best practices and advanced techniques in AI application development
- The capability to independently develop projects incorporating AI and Web3 features

## Curriculum

Our bootcamp is structured as follows:

- **Five sequential days** of intensive, hands-on lessons (Monday to Friday) complemented by exercises and group activities
- A project building exercise at the end to prepare participants for next steps
- Follow up events with specific workshops and directions to participate in hackathons and/or getting a job in the AI and Web3 industries

### Day 1: Introduction to Generative AI

- Introduction to AI
- Fundamentals of Machine Learning
- Exploring transformers
- Introduction to the Hugging Face Transformers library
- Executing simple AI tasks with the transformers library
- Introduction to GPTs
- Demystifying LLMs
- Using OpenAI APIs
- Understanding model configurations
- Fundamentals of prompt engineering
- Building a basic chatbot using OpenAI APIs
- Running Large Language Models (LLMs) on personal hardware
- Open source and open access AI models
- Hugging Face models hub
- Using model loaders
- Project building guidelines

### Day 2: Frontend Development and AI Integration

- Review of Generative AI
- Setting up a JavaScript/TypeScript development environment
- Introduction to frontend development with React
- Building an interactive chat application with React and Vercel SDK
- Implementing application for streaming chat responses from OpenAI API
- Using sample projects for bootstrapping projects
- Implementing text-to-image API endpoints
- Leveraging AI tools for code generation
- Exploring prompt engineering techniques

### Day 3: Multi-Modal AI Applications

- Review of AI application development
- Multi-Modal AI models
- Fundamentals of computer vision
- Computer vision models
- introduction to Contrastive Language-Image Pretraining (CLIP)
- The theory of AI World Scopes
- Introduction to AI-driven image generation
- Introduction to stable diffusion
- Leveraging APIs for image generation
- Exploring prompt techniques for image generation
- Exploring text-to-image generation
- Exploring image-to-image generation techniques
- Open source and open access image generation models
- Using Stable Diffusion WebUI

### Day 4: Introduction to Decentralized AI

- Decentralized infrastructure
- Introduction to Web3 concepts
- Smart contracts
- Introduction to Tokens
- Building dApps
- Decentralized AI applications
- AI Oracles
- Introducing opML
- Initial Model Offerings

### Day 5: Decentralized AI Agents

- Review of Multi-Modal AI applications
- Expanding GPT capabilities
- Introduction to AI Agents
- AI Agents development and implementation
- Function calling
- AI Tools
- Hosting agents
- Monetizing AI Agents with Tokens
- Deploying projects to decentralized infrastructure
- Project building guidelines
- Group exercise with mentoring
- Bootcamp conclusion and next steps

## Bootcamp Material

All bootcamp materials are accessible within this repository. The content is organized into folders, with each folder representing a day's lesson. These folders contain one `README.md` file each with comprehensive lesson materials, including hands-on exercises, implementation examples, detailed instructions, and step-by-step guides to follow during the lesson.

## Hands-on Lessons

To maximize learning, students should prepare their own development environment to actively participate in the lessons. Each day, they will learn by replicating the instructor's steps and applying newly acquired concepts to real-world projects.

Students are encouraged to ask questions and seek assistance from instructors and mentors during the lessons. Additional support is available through the use of Github Issues inside this repository.

We strongly encourage students to collaborate on group projects, share discoveries, learn from peers, and assist one another in completing project challenges.

## Support

For any questions or assistance, please don't hesitate to reach out to the instructors and fellow students in our [Telegram Group](https://t.me/vmineracademy).

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