English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 34 Lessons (2h 4m) | 587 MB
Mastering Nuxt: Full Stack Unleashed – 2025 Edition is not just a course, but a massive step-by-step guide to modern Nuxt, created with the NuxtLabs, BitterBrains, and Mastering Nuxt teams.
Build better, faster, and smarter – with Nuxt
Slow apps, confusing code, and poor SEO optimization? Nuxt solves all of these problems. Automatic routing, SSR, flexible rendering, built-in data handling chips, and high performance all make Nuxt ideal for both dynamic and static sites.
This course goes beyond the basics – you’ll learn best practices, architecture, performance optimization, and approaches used in real-world projects.
Who is the course suitable for?
- Junior developers – you will quickly progress from the basic level to confident work with full-stack applications.
- Senior developers – deepen your knowledge of Nuxt and Vue, get acquainted with new approaches to architecture and working with the server side.
- Students – get hands-on experience in developing a full AI application and expand your portfolio.
- Agencies and companies – accelerate development, reduce time-to-release, and ensure high performance.
What you’ll create
You’ll build a full AI-powered chat app – analogous to ChatGPT – and then create a quick promotional landing page.
The course starts with an MVP – you’ll dive straight into practice, not theory.
You’ll use Nuxt UI, set up the environment, connect the OpenAI API, use $fetch, useNuxtData, useAsyncData, Nuxt MDC to render messages, and organize everything by project.
Optimization and scalability
You will learn:
- lazy loading and prefetch,
- data streaming with Nitro,
- competent organization of components and architecture with Nuxt Layers,
- efficient state management via useState.
Full-Stack development
- First – simple storage with unstorage, then switch to Supabase + Postgres.
- Working with Prisma for type-safe database interaction.
- Data validation with Zod.
- Integrating authentication with provider support.
- Caching on client and server, including Nitro Routes.
Ready for production
After completing the course you will have:
- A full-fledged AI application ready for production.
- A deep understanding of both frontend and backend development on Nuxt.
- Ability to scale projects, optimize them and safely deploy them.
You will learn:
- File-based routing
- SSR, SSG and hybrid rendering
- Large project architecture
- Asynchronous data handling
- TypeScript and type security
- User authentication
- Working with Postgres via Prisma
- Component approach and Composables
- SEO and performance
- Deployment and hosting
- Nuxt internals (Nitro, h3)
- Middleware and routing
- Working with Nuxt modules
- State management
- SPA/SSR/SSG strategies
Table of Contents
1 Mastering Nuxt_ Full Stack Unleashed Intro
2 How the Mastering Nuxt course works
3 Debugging and Troubleshooting Tips
4 Chapter 1 Introduction
5 Faster package management with pnpm
6 Create a Nuxt 4 Project
7 Create a GitHub Project
8 Keep your Node version consistent with NVM
9 Setup the Ideal Nuxt Development Experience with VS Code Extensions
10 Quickly build beautiful UIs with Nuxt UI
11 Enforce consistent code style with ESLint
12 Run linting automatically with Husky
13 Chapter 1 Summary
14 Chapter 2 Introduction
15 Catch Up on the Project Setup (Chapter 1)
16 App.vue, the most important component in your Nuxt app
17 Create pages with file-based routing and the NuxtPage Component
18 Reuse UI with Layouts and the NuxtLayout Component
19 Use Composables to Organize Logic
20 Use Components to Organize UI
21 Add a Button to Scroll to the Bottom of the Chat
22 How to Decide Between Pages, Layouts, and Components
23 Reactively Update the Head Tag with useHead
24 Create a Basic API with Server Routes
25 Fetch Data From Your API with $fetch
26 What is Universal Rendering in Nuxt_
27 Chapter 2 Summary
28 Chapter 3 Introduction
29 Configure Secure and Clear Runtime Settings in Nuxt
30 Configure Your Nuxt App with app.config for Reactive Settings
31 When to Use Which Config_ Runtime vs. App Config
32 Create an OpenAI Account
33 Run Large Language Models Locally with OLLAMA
34 Integrate AI-Generated Responses Using OpenAI and Ollama
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