
Set up a fresh Next.js project with TypeScript and Tailwind, run the dev server, and learn file-based routing, layouts, and public assets to build a beautiful AI powered SaaS app.
Learn to build an ai app using Google Gemini by obtaining an api key, sending user prompts, and displaying the generated response in a simple ui.
Learn to render markdown content in a react app using the react-markdown library, install the package, import it, and display markdown content.
Create a dashboard layout with a sidebar navigation and main content area using a four-column grid, configuring a column span for the sidebar and three for content.
Build a side navigation using lucide react icons by creating a menu array with dashboard, history, billing, and settings items and routes, then render with flex and hover styles.
Render templates in a dashboard using a responsive grid, mapping each template to a card with an icon, name, and a line-clamped description, with hover effects.
Build a form with an input field and a generate content button, wiring onsubmit and onchange handlers to prevent default, log submissions, and log input changes for a client component.
Deploy the app to Vercel from the command line, log in, configure environment variables, adjust install and build commands, and review logs for udemy.vercel.app in production.
Dive into the cutting-edge world of AI-powered web applications with this comprehensive course on building advanced apps using React, Next.js, and TypeScript. This hands-on program will guide you through creating a sophisticated AI application from scratch, integrating the latest technologies and best practices in web development.
In this course, you'll learn how to:
Integrate Google Gemini AI to add intelligent, content-generation capabilities to your app
Develop creative AI-powered app ideas and bring them to life
Implement AI features in various web applications, from content creation to data analysis
Design a sleek, responsive UI using Tailwind CSS and ShadcnUI components
Build a full-stack application with MongoDB for efficient data storage and retrieval
Create a subscription-based system using Stripe for payments and recurring billing
Develop and handle Stripe webhooks for real-time payment event processing
Utilize React Context for efficient state management across your application
Deploy your AI-powered application to production using Vercel
Implement real-world use cases for AI in web applications
Exclusive PDF Booklet: Enhance your learning with a comprehensive companion guide containing all code snippets used in the course. This invaluable resource allows you to:
Follow along easily during video lectures
Review and practice code offline at your own pace
Have a quick reference guide for future projects
Reinforce your understanding by seeing code in both video and written formats
Accelerate your learning by having a visual aid alongside the video content
Throughout the course, you'll build a real-world AI-powered SaaS application, gaining practical experience with each technology and concept. You'll start with ideation and design, progress through development and AI integration, and finish with deployment and monetization strategies.
To support your learning journey, this course includes a comprehensive PDF booklet containing all the code snippets used in the video lectures. This valuable resource allows you to follow along easily, review code offline, and have a quick reference guide for future projects.
By the end of this course, you'll have the skills to conceptualize, create, and deploy sophisticated AI-enhanced web applications that are not only functional but also scalable and marketable. Whether you're a seasoned developer looking to harness the power of AI or an ambitious beginner ready to dive into the future of web development, this course will equip you with the knowledge and hands-on experience to build impressive AI-integrated applications.
Join now and transform your development skills to meet the growing demand for AI-powered web applications in today's tech industry!