Build AI-Powered Apps – An AI Course for Developers

Say goodbye to scattered tutorials and endless fluff. This course provides a clear, structured path with bite-sized videos that seamlessly blend theory and hands-on practice.

About the Course

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 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

Highly Practical

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)

Learn by Doing

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.

Course Content

7 Hours. 8 Sections . 120 Lessons

  • Getting Started(7m)
  • Introduction to AI Models(40m)
  • Setting Up a Modern Full-Stack Project(51m)
  • Project: Building a Chatbot(2h)
  • Prompt Engineering(32m)
  • Building a Review Summerizer(2h)
  • Building with Open Source Models(28m)
  • Course Wrap Up(1m)

Who Is This For?

  • Anyone who wants to add AI skills to their developer toolkit
  • Frontend devs ready to go full-stack with AI-powered features
  • Developers who want to learn modern tools and best practices for building real-world apps
  • Anyone tired of “AI hype” and looking for practical, hands-on projects

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