Build Serverless AI Agents with Langbase
Scrimba's short, free course on building AI agents with Langbase, taught by Maham Codes in about 50 minutes. Langbase is a serverless AI cloud, and this is a quick, no-cost way to put together a working agent.
Quick answer
Build Serverless AI Agents with Langbase is Scrimba's free, intermediate course on building agents with Langbase: roughly 50 minutes across 19 lessons, taught by Maham Codes. Langbase is a serverless AI cloud that handles the infrastructure, so you can stand up an agent quickly. Because it is free and short, it is one of the easiest ways on the catalog to try building an agent before committing to the Pro track.
Build Serverless AI Agents with Langbase
FreeTaught by Maham Codes (opens in a new tab)
Build AI agents on Langbase, a serverless AI cloud, in a short, free, hands-on course.
Start free on Scrimba (opens in a new tab)Is it worth your time?
It is free and under an hour, so the cost is minimal and the payoff is a working agent. Because Langbase is serverless, you skip a lot of the setup that usually slows down a first agent build, which keeps the focus on the agent itself. As a low-stakes way to see whether agent-building clicks for you, it is hard to beat.
The honest caveat is that it is tied to one platform. The concepts transfer, but the specifics are Langbase, so if you want to learn agents in a platform-neutral way, the dedicated agent course is broader. It is also short, so it is an introduction rather than a thorough treatment.
What you'll learn
The course walks through building an AI agent on Langbase from start to finish. You see how a serverless AI cloud removes the infrastructure burden and how to compose an agent on it, getting something running quickly. The interactive format means you build the agent yourself rather than watching, which is the whole value of trying it hands-on.
Who it's for, and who should skip it
It fits developers curious about AI agents who want a fast, free, practical first build without standing up their own infrastructure. It is a great low-commitment entry into the agent material.
Skip it if you want a platform-neutral, in-depth treatment of agents; Learn AI Agents is broader. Complete beginners should also have some JavaScript first.
Prerequisites
Basic JavaScript and comfort following an API-driven workflow. No prior agent experience needed; the course introduces the idea as you build. A grasp of the AI fundamentals helps but is not required.
Where it fits
This is a free stop on the AI Engineer Path and a natural companion to Learn AI Agents: try an agent for free here, then go deeper into the concepts there. It also pairs with Build a Support Agent with Vercel AI SDK as a contrasting tooling approach.
Free or Pro
The course is free, start to finish, no subscription required. Scrimba Pro is a separate decision that unlocks the full AI Engineer Path, the challenges, and certificates. See current plans if you later want the path structure.
Strengths and limits
What it does well: it is free, short, and hands-on, and Langbase's serverless model keeps the build focused on the agent rather than infrastructure.
Where it is limited: it is tied to one platform and brief, so it is an introduction rather than a platform-neutral or in-depth agent course.
Related courses and comparisons
- Learn AI Agents, the broader, deeper agent course
- Build a Support Agent with Vercel AI SDK, a contrasting agent build
- Intro to AI Engineering, the underlying fundamentals
- Intro to Mistral AI, another free AI course
Yes. The full course is free with no credit card or Pro subscription required. Pro only adds the career paths, certificates, and Discord.
A serverless AI cloud that handles the infrastructure for AI agents, so you can build and run one without managing your own servers.
No. The course introduces agents as you build. Some JavaScript helps, and the AI fundamentals are useful but not required.
Maham Codes, who also teaches Intro to Model Context Protocol (MCP) on Scrimba.
This one is a quick, free, Langbase-specific build. Learn AI Agents is broader and platform-neutral, so it is the natural deeper follow-up.