ChatGPT Tutorial for Programming on Scrimba
Quick Answer: Pro, 4.5-hour beginner course. Learn to build real projects using AI coding assistants: write prompts, fix errors, and ship working code. Best for vibe coders and complete beginners.
Last reviewed: March 2026.
ChatGPT Tutorial for Programming
ProA new kind of coding course that's less about the details of coding and more about creating, experimenting, and realizing your ideas, even without the coding know-how!
View on Scrimba (opens in a new tab)About This Course
A new kind of coding course that's less about the details of coding and more about creating, experimenting, and realizing your ideas, even without the coding know-how!
This Beginner-level course covers 4.5 hrs of content across 23 interactive screencasts. A Scrimba Pro subscription is required for full access.
- Duration: 4.5 hrs
- Level: Beginner
- Access: Scrimba Pro required
- Modules: 3
- Total Lessons: 23
What Makes This Course Distinctive
This is Scrimba’s on-ramp for people who want to create with AI assistants before they worry about every syntax detail. Across three modules you move from first deployable projects with ChatGPT through more ambitious builds and a Firebase-backed project. The point is not to memorize every keyword; it is to learn how to steer an assistant, recover when output is wrong, and finish something you can show.
The interactive format matches how people actually work now: you type, you run, you adjust the prompt. That helps the “vibe coder” persona who already ships experiments but wants the code to stop breaking in opaque ways. It also suits true beginners who need permission to build first and refine second.
AI engineer compensation bands often sit around $140,000-$180,000+ for people who combine web delivery skills with model fluency. This course does not replace a full API track, but it builds the collaboration habits that make later courses on the AI Engineer Path stick. You practice shipping, not only watching.
Module Breakdown
| Module | Duration | Lessons |
|---|---|---|
| Build and deploy your first projects with ChatGPT | 116 min | 14 |
| Next-level projects with AI | 107 min | 8 |
| Build projects with Firebase | 50 min | 1 |
What you'll build
- First deployable projects with ChatGPT — prompts, fixes, and shipping loops beginners can show.
- A Firebase-backed project — data and hosting basics without getting lost in syntax first.
Prerequisites
No prior programming experience is required. A web browser and willingness to learn are all you need.
Who Is This Course For?
Best for: complete beginners and vibe coders who use AI tools daily but want to understand what is actually happening under the hood. Not ideal if you already know JavaScript and APIs well. In that case start with Intro to AI Engineering Tutorial instead.
Part of These Learning Paths
Choose This If
Choose this course if:
- You want to build real mini-projects with an AI pair programmer, not only read about one.
- You treat ChatGPT as your main tool today and want a structured path from prompts to deployed work.
- You plan to grow toward $140,000-$180,000+ AI-capable engineering roles and need a beginner-friendly first step on the AI Engineer Path.
Related Courses
- Build a Support Agent with Vercel AI SDK
- Build Serverless AI Agents with Langbase
- Intro to AI Engineering Tutorial
Practice & Learn More
- Practice AI Engineering
- Practice API Calls
- How Long Does It Take to Learn Coding?
- Scrimba vs Codecademy | All Comparisons
Related Pages
- AI Engineer Path
- Practice AI Engineering
- Scrimba vs Udemy
- AI & Machine Learning Courses
- All Courses
- Scrimba Pricing | Pro vs Free
- Scrimba Review 2026
This course requires a Scrimba Pro subscription. Pro gives you access to 86+ courses, a certificate of completion, and access to the Discord community. Check the pricing page for current rates.
The course contains 4.5 hrs of interactive screencasts. Since you can pause and code along at your own pace, most learners finish in 1-2 weeks of regular practice.
You will ship **small projects with ChatGPT** (including deployment steps) and a **Firebase-backed build**—concrete pieces for a portfolio, not only exercises.
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