Build Serverless AI Agents with Langbase

Build Serverless AI Agents with Langbase

Instructor: Maham Codes

Included with Learn more

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

What you'll learn

Learners will learn how to create and manage AI memory using the Langbase SDK, including uploading documents and structuring them for retrieval.
You'll discover how to work with core AI primitives to engineer context effectively for more accurate, relevant model outputs.
By the end, you'll be able to vibe code a working AI agent using Command.new

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There is 1 module in this course

This hands-on course will teach you how to create context-engineered agents that use memory and AI primitives to take action and deliver accurate, production-ready results using Langbase.

Langbase is the most powerful serverless AI cloud for building and deploying AI agents. A great alternative to bloated frameworks, Langbase gives you simple AI primitives including Pipes, Memory (RAG), Workflows, and Tools, allowing you to easily build, deploy, and scale serverless AI agents. What are Context-Engineered AI Agents? Context-engineered agents are AI agents powered by LLMs and enhanced with tools and long-term memory (Agentic RAG). Instead of only responding to prompts, they can also: - Retrieve knowledge from documents and data. - Take real-world actions with tools. - Maintain workflows and context across conversations. In this course, you’ll: 1. Create your first Agentic RAG system using Langbase Pipes and memory agents. 2. Deploy and scale serverless agents in Langbase Studio. 3. Vibe code AI agents using Command.new.

Learn to build AI agents with Langbase, the world’s most powerful serverless AI cloud.

What's included

1 assignment11 plugins

1 assignmentTotal 30 minutes

Build Serverless AI Agents with Langbase Quiz30 minutes

11 pluginsTotal 50 minutes

Intro to Building Serverless AI Agents4 minutes
Core Concepts4 minutes
Setting Up Environment Variables in Scrimba2 minutes
Create a Memory with Langbase SDK5 minutes
Upload Documents to AI Memory7 minutes
Memory Agents on Langbase4 minutes
Perform RAG Retrieval5 minutes
Create an AI Agent Pipe4 minutes
Generate RAG Responses5 minutes
AI Primitives for Context Engineering4 minutes
Vibe Coding AI Agents with Command.new6 minutes

Instructor

Maham Codes

Scrimba

7 Courses49,069 learners

Offered by

Scrimba

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