AI-Powered Data Visualization With Angular, React And Nodejs

Build web apps with natural language, SQL queries, dynamic charts, and PostgreSQL integration

What you'll learn
Build production-ready applications that combine AI with modern data visualization techniques
Build an amazing RAG application with React and/or Angular
Build a GraphQL server based on NodeJS, Express and Apollo Server
Learn to setup AI prompts that generates SQL queries
Learn to chat with PostgreSQL database
Create AI-driven charts from PostgreSQL data
Easily deploy apps on Render and Vercel
Use Anthropic AI model

Requirements
Basic knowledge of Javascript and Express is required
No prior GraphQL knowledge is required
No prior React and Angular knowledge is required

Description
Learn to build an AI-powered data visualization dashboard from scratch using Angular, React, NodeJS, and Claude AI! This hands-on, project-based course teaches you to create a full-stack web application that transforms natural language into SQL queries and dynamic charts using AI, perfect for developers looking to master AI integration in modern web development. This course teaches you how to build two complete full-stack applications that leverage the power of Anthropic's Claude AI to transform natural language into dynamic data visualizations.What You'll Learn:Build production-ready applications that combine artificial intelligence with modern data visualization techniques. You'll develop identical functionality using both Angular and React, giving you versatile skills that appeal to a wider range of employers and projects. The course covers end-to-end development of an AI-enhanced analytics platform featuring:Frontend Development (Angular & React): Learn to create responsive, modern user interfaces using TypeScript and Tailwind CSS. Master state management with Redux Toolkit, and implement real-time data fetching using Apollo GraphQL Client. Create interactive visualizations using Chart.js, including bar charts, line charts, and pie charts that respond to natural language prompts.Backend Development: Develop a robust NodeJS and Express backend integrated with Anthropic's Claude AI model. Build a flexible Apollo GraphQL server that handles complex data operations and AI processing. Implement secure PostgreSQL database connections and management.What You'll Build:A production-ready analytics platform with:- AI-Powered SQL Generator: Convert natural language prompts to PostgreSQL queries using Claude AI- Dual Frontend Architecture: Build 2 UIs - one with Angular (Typescript, Redux Toolkit, Apollo Client) and another with React (Vite, Redux, Tailwind CSS)- Dynamic Visualization: Create bar, line, and pie charts with Chart.js using AI-generated data- Full-Stack Architecture:Backend: Node.js/Express.js with Apollo GraphQL ServerDatabase: PostgreSQL integration with CRUD operationsDevOps: Deploy to Render (Node.js) + Vercel (Frontends)Key Features Included:- Natural Language Processing (NLP) interface for data analysis- AI SQL Query Builder with error handling- Multi-Datasource Management (Add/Edit/Delete PostgreSQL connections)- Dual Editors: Prompt-based AI editor + Traditional SQL editor- Redux State Management in both Angular and React implementations- Responsive UI with Tailwind CSS styling- GraphQL API development with Apollo Server/Client- JWT Authentication integration (extra module)Technologies Covered:Frontend: Angular 19+, React 18+, Vite, Redux Toolkit, Apollo Client, Chart.js, Tailwind CSSBackend: Node.js, Express.js, Apollo Server, PostgreSQL, TypeORM, Claude AI APIDevOps: Render, Vercel, REST/GraphQL API deploymentBy the end of this course, you'll have built two complete, deployment-ready applications that showcase the power of AI in data visualization. You'll understand how to integrate complex technologies like GraphQL, AI, and modern state management while following industry best practices for both Angular and React development.

Javascript developers looking to build React or Angular applications,Developers looking to learn and use GraphQL,Developers that wants to add AI integration to their full-stack development skills,Master comparative framework development (Angular vs React),Build data-intensive applications with modern visualization,Learn AI-to-SQL conversion techniques