
Free Download Build & Deploy an AI Chatbot with Next.js & Gemini API
Published 10/2025
Created by Learn Time
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 48 Lectures ( 1h 22m ) | Size: 487 MB
Master Next.js, Tailwind CSS & ShadCN to create a modern AI chatbot powered by the Gemini API, and deploy it on Vercel
What you'll learn
Set up a modern Next.js environment with TypeScript, TailwindCSS, and the App Router
Design responsive UIs using ShadCN components and Tailwind utility classes
Integrate Gemini API to power chatbot responses
Build a real-time chat interface with streaming responses
Apply secure and scalable practices for full-stack applications
Deploy the chatbot app to production using Vercel
Requirements
Basic knowledge of TypeScript - understanding variables, functions, and ES6 syntax
Familiarity with React - concepts like components, props, and hooks
Node.js and a package manager installed
Comfort with the command line - running npm commands
A code editor (VS Code recommended)
(Optional but helpful): Prior experience with TailwindCSS
Description
This course contains the use of artificial intelligence.Want to learn how to build and deploy a modern AI-powered chatbot from scratch?In this course, you'll master the latest web technologies - Next.js, Tailwind CSS, shadcn/ui, Zustand, and the Gemini API - to create a fully functional chatbot application and deploy it seamlessly on Vercel.We'll start by setting up a clean Next.js project, structuring it into reusable components, and styling it with Tailwind CSS and shadcn/ui for a polished, professional interface. Along the way, you'll learn how to manage global state with Zustand, handle user interactions, and structure your app for scalability.The highlight of the course is the integration of Google's Gemini API, a powerful multimodal AI capable of generating intelligent, context-aware responses from text (and even images). This is the "brain" of your chatbot - enabling natural, conversational experiences.Once the chatbot is functional, we'll walk through deploying it on Vercel, the platform built by the creators of Next.js. You'll learn how to ship your project to production with just a few clicks, share it with the world, and ensure it runs reliably at scale.By the end of this course, you will:Understand how to scaffold and structure a Next.js application.Build clean, reusable components with Tailwind CSS and shadcn/ui.Manage application state with Zustand.Integrate Gemini API for intelligent chatbot responses.Deploy a full-stack AI project to Vercel.Whether you're a web developer looking to sharpen your React/Next.js skills, or you want to explore the practical use of AI in modern applications, this course will give you the hands-on experience you need to confidently build and deploy production-ready AI apps
Who this course is for
Frontend developers who want to level up with full-stack features
Full-stack developers interested in building AI-powered apps
Junior to mid-level engineers who know React and want hands-on Next.js training
Tech enthusiasts curious about integrating AI APIs into modern web apps
Teams or professionals preparing to build secure, production-ready chat applications
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