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Master n8n Automation & Build Powerful AI Agents

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5.00

0.0 5.0

300

alunos

7 horas

de conteúdo

INTERMEDIARIO

nível

Aug-2025

atualizado

An Artificial Intelligence (AI) Agent is an autonomous system that perceives its environment, makes intelligent decisions, and acts automatically. Think of it as a digital assistant that can send emails, update databases, process information, and more—based on predefined rules, machine learning, or advanced AI models.

Reduce manual work, increase efficiency, and embrace intelligent automation!

R$ 59.99

Este curso inclui:

We offer a 7-day
Lifetime Access to All 17 Modules
Step-by-Step Video Lessons
Practical Case Studies & Examples
Downloadable Resources & Workflows
Certificate of Completion
Future Course Updates Included

Sobre este curso

n8n is a powerful visual automation platform that empowers you to integrate cutting-edge AI tools and models (like OpenAI, Google, and Hugging Face) to build intelligent agents—without writing a single line of code. Effortlessly automate business processes and connect hundreds of applications and services (Google Sheets, Slack, CRMs, and more). Its intuitive drag-and-drop interface makes complex automation simple and efficient. 🚀 Unlock limitless automation potential and supercharge your productivity!

O que você aprenderá

Automate processes without writing code

Integrate seamlessly with hundreds of apps

Lifetime access & 7-day satisfaction guarantee

Create custom AI agents for any task

Learn through practical, real-world case studies

Requisitos

Computer
Internet

Conteúdo do Curso

What You'll Master Inside the Course

Módulo 1: Introduction to n8n

Course Objectives – Skills you'll develop.

Course Structure – How to maximize your learning.

About Your Instructor – Meet the expert guiding you.

What is n8n? – Introduction to the platform.

Why Use n8n? – Benefits for process automation.

Módulo 2: n8n Installation & Setup

Setting up n8n in multiple environments.

Cloud deployment with managed infrastructure.

Local vs. Cloud: Pros & cons.

Step-by-step local n8n installation.

Deploying locally for development.

Módulo 4: Process Automation in n8n

Configuring API credentials for external apps.

Integrating with Gmail & Google Drive.

Creating & managing forms, structuring data.

Storing data in Airtable for easy access.

Executing chained workflows for sequential tasks.

Using on-demand Webhooks to expand integrations.

Connecting with OpenAI models for AI automations.

Extracting data from documents for smarter flows.

Combining AI with Make or Zapier to extend n8n’s potential.

Módulo 5: Artificial Intelligence Agents

AI Agents: What they are and how they work.

AI models applied to agents: structure & functionality.

Managing agent memory for better retention.

Defining instructions to guide your agent.

Using knowledge tools to enhance capabilities.

Analyzing & evaluating agent effectiveness.

Executing automated actions based on agent decisions.

Identifying parameters to optimize automation.

Measuring agent performance.

Downloadable resources & supplemental materials.

Módulo 6: Databases & AI Agents

Retrieval-Augmented Generation (RAG) to enhance AI responses.

Understanding vector databases & embeddings.

Types of vector databases & their applications.

Storing data in Pinecone for optimal retrieval.

Adding documentation to Pinecone to improve accuracy.

Token Splitter for efficient text processing.

Working with embeddings & vectors correctly.

Refining AI agent responses with vector retrieval.

Downloadable supplemental materials.

Módulo 7: AI Agent Memory

Fundamentals of AI memory: how agents remember information.

Storing conversations: techniques & best practices.

Using PostgreSQL for conversation histories.

Implementing RAG in Supabase for optimized queries.

Vector databases in Supabase for fast retrieval.

Storing & analyzing vectors efficiently.

Making the agent smarter & more responsive.

RAG strategies without deploying full memory.

Módulo 8: Interacting with AI Agents

AI Interaction Channels: options & strategies.

Creating a bot & configuring credentials.

Integrating AI with Telegram step-by-step.

Optimizing agent configuration for messaging apps.

Downloadable helper files for implementation.

Módulo 9: Case Study – Ecommerce Agent

Structuring an AI agent for online stores.

AI foundations & logic for e-commerce.

Handling customer inquiries automatically.

Designing the agent’s workflow & interactions.

Managing product inventory with AI.

Operating guidelines for efficient use.

Sample agent queries & responses.

Downloadable e-commerce resources.

Módulo 10: Case Study – Personal Assistant

Designing an AI assistant for personal use.

Accessing & organizing contact information.

Communicating with contacts via automated channels.

Scheduling meetings & calendar synchronization.

Customizing assistant settings for optimal performance.

Practical use cases for daily routines.

Downloadable support materials.

Módulo 11: Case Study – AI Agent for Coworking

Structuring an AI agent for coworking spaces.

Organizing coworking documentation & data.

Implementing RAG for data retrieval.

Structuring databases & tables efficiently.

Connecting data relationships for smooth workflows.

Automating event reservations in Airtable.

AI agent parameterization & optimization.

Error correction best practices for stability.

Downloadable coworking resources.

Módulo 12: Case Study – Financial Assistant

Building an AI agent for personal finance.

Using external memory for financial data.

Modeling database schema for financial records.

Visualizing expenses clearly with dashboards.

Performing budget analysis & tracking.

Recording & classifying transactions.

Configuring the financial assistant’s rules.

Automating data extraction from documents via computer vision.

Interacting with the financial agent for insights.

Supplementary downloadable materials.

Módulo 13: Case Study – LinkedIn Agent

Building an AI agent for LinkedIn interactions.

Structuring workflows for LinkedIn data extraction.

Parsing parameters & handling API responses.

Configuring search strategies for precise results.

Storing & managing collected LinkedIn data.

Using ChatGPT for error correction & improvements.

Demonstrating agent operation & best practices.

Downloadable templates & resources.

Sobre o Instrutor

Prof.

Especialista em Hiperautomação Simão Pedro é o criador do curso Mestre RPA e aplicou seus treinamentos nas maiores empresas do Brasil como Faber-Castel, Publicis, Voith etc. Treinou as equipes de desenvolvimento interno ajudando criar equipes de RPA nessas empresas para alavancar seus negócios. Atualmente atua com desenvolvimento, consultoria e treinamentos RPA.

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