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.