AI Agent
You'll learn how AI agents differ from traditional automation tools and chatbots, explore their key components, and discover when and how to implement agent-based solutions for real-world problems.
Course Overview
Course Content
- What is an Agent?
- AI Agents vs. Automations
- 3 Main Components of an AI Agent
- Guardrails for an AI Agent
- AI Agent Examples: Real-World Applications and Use Cases
AI Agent Beginner's Guide: Personal Assistant
25 minLearn to create, configure, and test your first AI Agent in Latenode for smarter automations.
Build a Multi-Agent Workflow
11 minDiscover how to set up multiple AI agents, assign roles, and orchestrate complex tasks.
RAG: Store Knowledge & Retrieve Answers
7 minSee how to store knowledge with RAG, search documents, and connect results to AI agents seamlessly.
3 AI Agent Architectures You'll Master
Learn to build all three proven approaches — from simple single-agent setups to multi-agent teams and fully controlled action-routing systems.
Tool-Centric
Simple Agents, Fast Results
One agent with all the tools it needs. Write a prompt, connect your apps, and let the AI handle the rest. Perfect for support bots, email responders, and quick automations.
Read moreSub-Agent Teams
Specialists That Collaborate
Assign each agent a role. The Account Manager handles CRM updates. The Ticket Manager creates support cases. The Main Agent coordinates them all. Like hiring a team — without the overhead.
Read moreAction-Routing
Agent Thinks, Platform Acts
Your AI analyzes and decides. The platform executes. The agent outputs structured JSON; Latenode routes the actions. Full transparency. Complete predictability. Easy debugging.
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