ChatBuddy AI App: Build with JS, React Native & Hugging Face

Description

Join this hands-on Udemy course to master building the ChatBuddy AI app—a cross-platform AI chat application. Learn to integrate Hugging Face's serverless Inference APIs, using Node.js for the backend and React Native for mobile development, as well as building a Google Chrome Extension. Start with the Hugging Face Inference Endpoint (Serverless) free tier and learn how to scale to Pro (for pilot) or a dedicated endpoint for production use.

The app allows the user to chat with an AI assistant. The AI models are from the Hugging Face hub using the Inference API Endpoints (Serverless). Users can select between various models, set configuration parameters, and maintain chat history. The course covers both the frontend and backend development, ensuring you have a comprehensive understanding of the entire development process.

What You'll Learn:

1. Understand Hugging Face Inference Endpoints: Learn about Hugging Face's transformative AI technology and how to utilize their Inference Endpoints for AI integration.

2. Backend Development with Node.js: Build a robust backend using Node.js, manage API requests, and maintain chat history effectively.

3. Frontend Development for Web and Chrome Extension: Create an interactive webpage to communicate with the AI models, and embed this webpage into a Google Chrome extension.

4. Mobile App Development with React Native and Expo: Use the Expo framework to develop a React Native app for Android and iOS, integrating the chat interface seamlessly.

Requirements:

• Good Command of JavaScript: Essential for both frontend and backend development.

• Basic Knowledge of REST APIs and Postman: General understanding of REST APIs and basic usage of Postman for testing endpoints.

• General HTML and CSS: Basic knowledge for developing and styling the webpage.

• Basic Knowledge of React Native: Some familiarity with React Native is beneficial.

• Free Hugging Face Account: Required for accessing the Inference Endpoints.

• Free Expo Framework Account: Needed for developing the mobile application with React Native.

• Phone or Emulator for Testing: Access to a smartphone or an emulator for testing the mobile application.

Who This Course is For:

• Web Developers: Enhance your web projects with AI capabilities.

• Mobile Developers: Integrate AI functionalities into your Android and iOS apps.

• Machine Learning Engineers: Apply your AI models in real-world software applications.

• Software Engineers: Expand your skill set by incorporating AI into your development toolkit.

• Tech Enthusiasts and Hobbyists: Experiment with AI integration in various applications.

• Students and Academics: Understand practical applications of AI in software development.

By the end of this course, you will have the skills and knowledge to build and deploy an AI-powered chat application, integrating cutting-edge AI models into both web and mobile environments. Get ready to transform your development capabilities and create intelligent, interactive applications!

Who this course is for:

• Web Developers: If you're a web developer looking to enhance your projects with machine learning and AI capabilities, this course will guide you through integrating Hugging Face's powerful models into your web applications.
• Mobile Developers: Mobile developers aiming to integrate AI functionalities into their Android and iOS apps will find this course invaluable. You will learn how to use the Expo framework and React Native to bring AI-powered features to your mobile applications.
• Machine Learning Engineers: For machine learning engineers who want to see their models in action, this course provides practical insights into deploying and integrating AI models into software applications.
• Software Engineers: If you're a software engineer interested in exploring AI and incorporating it into your existing skill set, this course offers a comprehensive overview of using AI models in backend and frontend development.
• Students and Academics: Students and researchers looking to understand practical applications of AI in real-world software development can benefit from the hands-on approach of this course.