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Intro to AI Engineering Tutorial on Scrimba

Quick Answer: Pro, 2.5-hour intermediate course. Build AI-powered web apps using JavaScript and the OpenAI API. Best for web developers who want to add AI features to their projects without switching languages.

Last reviewed: March 2026.

Intro to AI Engineering Tutorial

Pro

Learn to build AI-powered apps with modern LLM tooling, the fastest-growing layer of today’s software stack. You'll cover prompts, tokens, systems messages, streaming, and more as we build GiftGenie,

Duration: 2.5 hrsLevel: Intermediate
View on Scrimba (opens in a new tab)

About This Course​

Learn to build AI-powered apps with modern LLM tooling, the fastest-growing layer of today’s software stack. You will cover prompts, tokens, system messages, streaming, and more while building GiftGenie, an AI-powered gift idea generator.

This Intermediate-level course covers 2.5 hrs of content. A Scrimba Pro subscription is required for full access.

  • Duration: 2.5 hrs
  • Level: Intermediate
  • Access: Scrimba Pro required

What Makes This Course Distinctive​

You build GiftGenie, an AI-powered gift idea generator, while learning the same primitives employers expect on AI engineer job posts: prompts, tokens, system messages, and streaming responses. The work happens in JavaScript against real APIs, so frontend and fullstack developers can ship features in the stack they already use. Glassdoor-style ranges for AI engineer roles often land around $140,000-$180,000+; this course targets the practical layer (calling models, shaping outputs, wiring UIs) rather than abstract ML theory.

Scrimba’s interactive player matters here because API courses die on setup friction. You run and edit code inside the lesson, see errors immediately, and iterate without configuring a local toolchain first. That helps both the “vibe coder” who leans on AI tools but wants to read the request/response cycle, and the experienced developer who needs a fast path to production-shaped patterns.

The course sits on the AI Engineer Path, so it is a deliberate first step before RAG, agents, and provider-specific deep dives. You leave with a named portfolio piece and vocabulary that transfers to interviews and code reviews.

What You'll Build​

  • PollyGlot

These hands-on projects reinforce what you learn and give you portfolio-ready work to show employers.

Prerequisites​

Basic knowledge of JavaScript and basic API concepts is recommended before starting this course.

Who Is This Course For?​

Best for: web developers (JavaScript/React) who want to build AI-powered features. Not ideal if you have no programming background.

Part of These Learning Paths​

Choose This If​

Choose this course if:

  • You want to ship LLM features in JavaScript without moving your whole stack to Python.
  • You have used ChatGPT as an end user and now want to call models from your own apps.
  • You are building toward roles where AI engineering skills command $140,000-$180,000+ and need grounded API experience, not buzzwords.

Practice & Learn More​

Start Intro to AI Engineering Tutorial

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