No-Code AI Agents: Build Agents Without Coding
Por qué lo recomendamos
Buen curso para entender qué es de verdad un agente de IA —y en qué se diferencia de un chatbot o de una automatización simple— sin escribir código. Compara plataformas como Lindy, Zapier, Make y n8n y explica la anatomía común a todos: disparador, instrucciones, herramientas y memoria. Lo recomendamos a equipos de operaciones y ventas que quieren prototipar un agente antes de decidir si vale la pena construirlo a medida.
Sobre el curso
This course contains the use of artificial intelligence.AI agents can now handle real work -- answering customers, triaging tickets, researching leads, updating your systems -- and you no longer need to be a programmer to build one. No-code platforms like Lindy, Zapier, Make, and n8n let you assemble a working agent visually, by connecting a trigger, a language model, some tools, and a bit of memory. This hands-on course teaches you how.You'll start with what actually makes something an agent (versus a plain automation or a chatbot), and tour the no-code landscape so you can pick the right builder. Then you'll learn the anatomy every agent shares -- trigger, instructions, tools, and knowledge -- and build your first one: choosing a use case, wiring a trigger, writing clear instructions, connecting integrations, and giving the agent your data and memory.From there you'll make it reliable, which is where most no-code agents fail: testing and iterating, adding guardrails and human-in-the-loop approvals, handling errors and fallbacks, and watching cost and limits. You'll finish by deploying your agent to the channels your users actually use, and a capstone that builds a complete operations agent end to end -- plus a reusable checklist.By the end you'll be able to turn a real, repetitive job into a working AI agent in an afternoon, without writing a line of code.
Descripción proporcionada por el proveedor del curso.