Build Full-Stack AI-Powered Apps

Learn how to integrate AI into your apps - no ML background needed

AI is everywhere — but can you actually build with it?

Most developers have played around with ChatGPT. Maybe you’ve even copied some AI-generated code into your project. But that’s not the same as building real, AI-powered features that make your apps smarter, more engaging, and more valuable to users.

That’s exactly what this course is about.

In Build Full-Stack AI-Powered Apps, I’ll walk you step by step through the concepts, modern tools, and best practices you need to create production-ready apps powered by AI.

This is the AI course every developer needs right now.

What You'll Learn

• Understand Large Language Models (LLMs) and how they work

• Work with tokens, context windows, and model settings

• Write effective prompts using proven prompt engineering techniques

• Build a chatbot from scratch with a clean, maintainable architecture

• Create a review summarizer that helps users make faster decisions

• Integrate open-source models using Hugging Face and Ollama

• Run models locally on your own machine

• Apply best practices and clean code principles

• Use modern tools to build full-stack AI-powered apps (Bun, Tailwind CSS, shadcn/ui, Prisma, and more)

What You'll Build

Chatbot: Build a chatbot that can answer questions about an imaginary theme park — things like “What rides are suitable for kids under 10?”, “Where can I find vegetarian food options?”, or “What are the park’s opening hours?”. Instead of clicking through menus or digging through a website, visitors can get instant answers. Step by step, you’ll create the backend, structure your code using clean architecture principles, and build a modern frontend that makes the experience seamless and engaging.

Review Summarizer: These days, lots of apps let users summarize content so they can make faster decisions. In this project, we’ll build a tool that condenses customer reviews into clear, actionable insights. The techniques you’ll learn here can be applied to all sorts of AI-integrated features.