Build & Deploy an AI Chatbot with Next.js & Gemini API
Published 10/2025
Duration: 1h 23m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 487.15 MB
Genre: eLearning | Language: English
Published 10/2025
Duration: 1h 23m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 487.15 MB
Genre: eLearning | Language: English
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 theGemini API— to create a fully functional chatbot application and deploy it seamlessly onVercel.
We’ll start by setting up aclean Next.js project, structuring it into reusable components, andstyling it with Tailwind CSS and shadcn/uifor a polished, professional interface. Along the way, you’ll learn how tomanage global state with Zustand, handle user interactions, and structure your app for scalability.
The highlight of the course isthe 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 walkthrough 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
More Info