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Learn to Code with AI

Scrimba's free, beginner-friendly entry into building with AI, taught by Guil Hernandez across about 4.5 hours of building and shipping small projects with tools like ChatGPT and Firebase.

Quick answer​

Learn to Code with AI is Scrimba's free, beginner AI course: roughly 4.5 hours across three modules, taught by Guil Hernandez. The angle is unusual. It is less about mastering syntax and more about creating, experimenting, and getting an idea live using AI tools. If you have wanted to build something but kept stalling on the details of code, this is the gentlest place on the catalog to start.

Is it worth your time?​

It is free, so the cost is only time, and for a true beginner the payoff is fast. You finish with deployed projects rather than a folder of half-understood examples, and the interactive player means you are typing and running code from the first lesson, not watching someone else do it.

The honest caveat is that this is not a substitute for learning to program. Leaning on AI to scaffold projects gets you moving quickly, but it can paper over gaps you will eventually have to fill. Treat it as a confidence-building on-ramp, then go learn the fundamentals properly.

What you'll learn​

Course curriculum

3 modules

  1. Build and deploy your first projects with ChatGPT116 min
  2. Next-level projects with AI107 min
  3. Build projects with Firebase50 min

The arc is project-first. You start by using ChatGPT to build and deploy something small, move on to more ambitious AI-assisted projects, and finish by wiring in Firebase so your apps can store and serve data. The emphasis throughout is on getting a working result live, which is exactly what keeps beginners motivated.

Who it's for, and who should skip it​

It fits absolute beginners and anyone curious about what AI tooling can do, including people on the path for beginners. If you want momentum and a deployed project quickly, this delivers.

Skip it if you already write code comfortably and want depth on how LLMs actually work. The AI engineering courses on the catalog will serve you better.

Prerequisites​

None. A browser and curiosity are enough. No prior programming, no account beyond the free Scrimba sign-up.

Where it fits​

This is the friendly front door to the AI Engineer Path. It sits before the more technical AI courses and gives a beginner a reason to keep going. From here, the natural next steps are Intro to Mistral AI and Intro to AI Engineering.

Free or Pro​

The course is free, start to finish, no subscription needed. Scrimba Pro is a separate decision that unlocks the structured paths, challenges, and certificates. See current plans if you later want that structure.

Strengths and limits​

What it does well: it is free, genuinely beginner-friendly, project-driven, and ends with deployed work. Guil Hernandez paces it for people who have never coded.

Where it is limited: it builds with AI rather than teaching the underlying programming or how the models work, so it is a starting point, not a foundation.

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