Learn to build AI agents with LangBase.
We’ve just posted a course on the frequedcamp.org YouTube channel that will teach you how to build context-engineered agents that leverage memory and primitive AI to take actions and deliver accurate, production-ready results using Langbase.
Langbase is a powerful serverless AI cloud for building and deploying AI agents. A great alternative to bloated frameworks, Langbase provides you with simple AI primitives including pipes, in-memory (RAG), workflows, and tools, allowing you to easily build, deploy, and scale serverless AI agents.
Context-engineered agents are AI agents driven by LLMs and enhanced with tools and long-term memory (agent rags). Instead of just responding to signals, they can also:
Retrieve knowledge from documents and data.
Take real-world actions with tools.
Maintain workflows and context during conversations.
In this course, you will:
Build your first Agent Chord system using Longbase Pipes and Memory Agents.
Deploy and scale serverless agents in Langbase Studio.
Vibe code AI agents using the command.New.
Course core covers:
Context Engineering and Agentic Rags Pipeline Description
Building memory agents.
Use Langbase AI primitives to build any type of AI agent including workflows, parsers, chunkers, embeds, and memory.
Deploy and scale serverless AI agents without a framework.
View the full course freecodecamp.org YouTube channel (1 hour clock)