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AI Agents Tutorial on Scrimba

Quick Answer: Pro, 2-hour Intermediate course (117 minutes). You build LLM-powered agents with multi-step reasoning, custom action functions, and API-style tool use, including an AI travel agent project. Taught with Bob Ziroll for developers who already write JavaScript.

Last reviewed: March 2026.

Disclosure: ScrimbaGuide may earn a commission when you enroll or subscribe through links on this page. We still describe course limits honestly.

AI Agents Tutorial

Pro

Learn how to build LLM-powered agents that can do multi-step reasoning and interact with its environment via functions and APIs.

Duration: 117 minLevel: Intermediate
View on Scrimba (opens in a new tab)

About This Course

Learn how to build LLM-powered agents that can do multi-step reasoning and interact with its environment via functions and APIs.

  • Duration: 117 min
  • Level: Intermediate
  • Access: Scrimba Pro required

What Makes This Course Distinctive

The course pushes past single-prompt demos into agents that plan steps and call functions when the model needs structured actions. Interactive screencasts matter because agent bugs are often wiring bugs: wrong arguments, missing guards, or bad error handling around API calls. Projects like an AI travel agent give you a narrative thread so the abstraction feels like software design, not a notebook trick. It sits on the AI Engineer Path and pairs with other Scrimba AI courses when you are building a full toolkit. You should expect fast-changing provider APIs and validate anything safety-critical outside class hours. The runtime assumes comfort with async JavaScript and reading stack traces.

Who Is This Course For?

Fullstack and frontend developers adding agentic features to apps, and engineers who completed an AI intro and want orchestration patterns next.

Not ideal if: You want pure ML training, computer vision only, or compliance-heavy production agent deployment as the sole focus.

Part of These Learning Paths

Choose This If

Choose this course if:

  • You want interactive builds that combine LLM reasoning with function and API calls.
  • You prefer Bob Ziroll's teaching style from other Scrimba React and AI material.
  • You are following the AI engineer track and need agents after a basic LLM app course.

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