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FreeAcademy

Rutas de aprendizaje

AI Automation Specialist

Automate real work with AI: start with everyday tasks and email, build no-code automations with Make, Zapier, and n8n, then level up to prompt chains, AI agents, and MCP.

8 cursos~5h en total100% gratis, con certificado en cada curso

Insignia de la ruta

Completa todos los cursos de esta ruta para obtener su insignia.

Empieza con el paso 1

Cursos de esta ruta

  1. Paso 1Principiante45 min

    Automate Boring Tasks with AI

    Learn to identify and automate repetitive tasks using AI. Master text transformation, data organization, template creation, batch processing, and simple AI workflows with tools like Zapier and Make. Calculate ROI on your automation efforts.

  2. Paso 2Principiante35 min

    Automate Emails with AI

    Learn to use AI to write, respond to, and manage emails faster. Master practical prompts and templates for professional emails, difficult conversations, batch processing, and follow-up sequences.

  3. Paso 3Principiante40 min

    Build AI Automations with Make/Zapier (No Code)

    Learn to build powerful AI automations without writing code. Connect ChatGPT and Claude to Make and Zapier, automate email responses, schedule social media content, process data through AI pipelines, and build multi-step workflows using real-world templates.

  4. Paso 4Principiante~2h

    n8n Automation for Beginners

    Learn n8n, the free and self-hostable workflow automation tool. Build real automations by importing ready-made JSON workflows, then customize them with expressions and the Code node. No prior coding required.

  5. Paso 5Intermedio

    AI Prompt Chaining & Workflows

    Master the art of chaining AI prompts and building sophisticated workflows. Learn to design multi-step AI pipelines, handle errors gracefully, implement branching logic, manage context, and build production-ready AI workflows for research, content creation, and code generation.

  6. Paso 6Principiante35 min

    Build Your First AI Agent in 30 Minutes

    Build a working AI agent from scratch in Python. Learn the think-act-observe loop, call an LLM, give your agent a tool it can use, and handle a failed tool call. Framework-agnostic and beginner-friendly.

  7. Paso 7Intermedio45 min

    Multi-Agent Systems with CrewAI

    Learn to build multi-agent AI systems with CrewAI in about 45 minutes. Understand the crew/agent/task model, define specialized agents, create tasks, and build a real-world market research crew with analyst, researcher, and writer agents.

  8. Paso 8Intermedio

    MCP Fundamentals: Building AI Systems That Connect

    Master the Model Context Protocol (MCP) - Anthropic's open standard for connecting AI assistants to external tools and data sources. Learn to configure, use, and build MCP servers that extend AI capabilities with real-world integrations.