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Full-Stack Development with AI

Modern web applications end-to-end — with AI-powered features baked in

Everything you need to get hired as a full-stack developer who ships AI-powered features. React, TypeScript, Node.js, databases, APIs, authentication, testing, and cloud deployment — plus RAG chatbots, semantic search, AI-powered UI, and LLM integration patterns that make your apps smarter. Not just traditional full-stack like The Odin Project — you build AI-native applications that stand out in interviews and on the job.

~11 phases · ~60 lessons · ~60 labs · 6 projects

No prerequisites — this is a starting track.

Outcomes you will have by the end

• 6 GitHub repos with production-grade code — Each project includes tests, CI/CD, a README, and a deployed preview link — including AI-powered features that demonstrate you can build beyond traditional CRUD.
• 1 live deployed full-stack application with AI features — A real app with auth, database, API, frontend, and at least one AI-powered feature (RAG chatbot, semantic search, or AI content generation) deployed to the cloud with a public URL.
• Verified certificate of completion — Tied to your completion record. Lists the specific skills, phases, and projects you completed — including AI-native development capabilities.
• Defense Practice Report — Readiness score across frontend, backend, system design, testing, deployment, and AI feature integration.
• Interview-ready career package — Resume, LinkedIn, take-home assignment prep, and system design interview stories — with AI architecture talking points that differentiate you from traditional full-stack candidates.
• Hands-on labs, not passive videos — Every lesson has a quiz, every phase has a lab, and every project ships with working code — including AI features that work end-to-end.

What you will be able to do

React · TypeScript · Node.js · PostgreSQL · AWS · RAG · AI Feature Integration

Every phase, every lesson, every project

• Web Foundations (5 lessons) — free — HTML, CSS, JavaScript, accessibility, Git, dev tools, browser fundamentals
• React & TypeScript (6 lessons) — free — Components, hooks, state management, TypeScript, testing, performance basics, AI-assisted development with Cursor and Copilot
• Backend & APIs (6 lessons) — Node.js, Express, REST API design, authentication, authorization, middleware
• Databases & ORMs (5 lessons) — Relational design, PostgreSQL, SQL, Prisma/drizzle, migrations, indexing
• Full-Stack Architecture (5 lessons) — End-to-end project structure, API contracts, error handling, validation, pagination, AI-powered search and filtering
• Testing & CI/CD (5 lessons) — Unit, integration, and E2E tests, GitHub Actions, preview deploys, code quality
• Advanced Frontend & AI-Powered UI (7 lessons) — Routing, SSR, real-time UI, design systems, performance, accessibility at scale, AI-powered UI patterns (streaming responses, optimistic updates for AI features, loading states for LLM calls, inline AI suggestions)
• System Design for Web (5 lessons) — Scalability, caching, queues, microservices trade-offs, database scaling
• Cloud Deployment (5 lessons) — Docker, Vercel, AWS basics, environment management, monitoring, logging
• AI-Powered Full-Stack Features (5 lessons) — RAG chatbots over your data, LLM integration patterns (OpenAI/Anthropic APIs, streaming, function calling), vector search with pgvector, AI content generation, prompt management for production apps, cost and latency optimization for AI features
• Portfolio & Career (6 lessons) — Portfolio polish, resume, LinkedIn, frontend interviews, take-home assignments, system design, showcasing AI features in interviews

The technologies you will use

React · TypeScript · Node.js · PostgreSQL · Next.js · Tailwind · Prisma · AWS · Docker · Vercel · OpenAI API · pgvector

Roles this course prepares you for

• Full-Stack Engineer ($110k–$165k) — Build complete features across the stack — database schema, API, frontend, tests, and deployment. In 2026, that includes AI-powered features like chatbots, semantic search, and content generation.
• Frontend Engineer ($105k–$160k) — Own the user interface and experience. Build performant, accessible, and maintainable web apps — including AI-powered UI patterns like streaming responses and inline suggestions.
• Backend Engineer ($115k–$170k) — Design and build APIs, data models, and services that scale. In 2026, that includes LLM integration, RAG pipelines, and AI API orchestration.

What full-stack development with AI actually is

Full-stack development with AI is the discipline of building web applications that integrate AI features — RAG chatbots, AI-powered search, intelligent recommendations — alongside traditional full-stack engineering. You work across the entire stack: React frontend, Node.js API, PostgreSQL database, and AI integration layers.

What you do every day

You build features end-to-end: database migrations, API endpoints, React components, and AI integrations. You write RAG chatbots that cite sources, implement vector search with pgvector, ship AI-powered features, and write tests for both the traditional and AI layers of the application.

Why companies hire for this

Every company wants AI features in their products. Most full-stack developers cannot build them. The gap is in vector search, RAG pipelines, prompt engineering, and AI API integration. Companies need developers who can ship both the CRUD layer and the AI layer.

What this course is not

It is not a "learn to code" bootcamp. You will not spend weeks on HTML and CSS. You will build real applications with React, TypeScript, and Node.js — and you will integrate AI features that make those applications smarter. The AI layer is what makes this course different from every other full-stack course.

Common questions

When does the Full-Stack Development with AI course launch?

Targeting late 2026. Pro subscribers get access at launch at no additional cost.

What background do I need?

Basic HTML, CSS, and JavaScript. We cover TypeScript and React from first principles.

How is this different from a bootcamp?

No live lectures or cohorts. You learn by building real projects with labs, quizzes, and code reviews. Go at your own pace and graduate with a deployed portfolio — including AI-powered features that traditional bootcamps don't teach.

How is this different from free resources like The Odin Project?

Three things: (1) You build AI-powered features — RAG chatbots, semantic search, AI content generation — that make your portfolio stand out in 2026 interviews. Free resources teach traditional CRUD. (2) You get hands-on labs with automated feedback, quizzes, and a Defense Practice Report. (3) You learn AI-assisted development workflows with Cursor and Copilot, which is how the industry actually codes now.

Do I need a computer science degree?

No. The curriculum covers everything from HTML to system design. You need motivation and consistency, not a CS degree.

Will I learn enough to pass technical interviews?

Yes. Each phase includes interview prep, take-home practice, and system design scenarios. The final phase is dedicated to portfolio polish and interview readiness — including how to articulate AI architecture decisions.

What if I already know React or Node.js?

You can skip ahead. Phases are self-contained, and the first two are free. Start where you need the most practice — or jump to Phase 9 for the AI-powered features if your traditional full-stack skills are already solid.

Key terms in this course

ReAct · RAG (Retrieval-Augmented Generation) · Streaming · Function Calling · Latency · Semantic Search

Continue your learning path

Vibe Coding

Start the Full-Stack Development with AI course

Create a free account — the opening phases of 24 of 30 courses are free, no credit card. Or see Pro pricing.

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