Master n8n Automation & Build Powerful AI Agents – No Coding Required
Learn step-by-step how to create intelligent agents that process data, interact with users, and automate complex tasks to optimize your workflows and boost productivity.
- ✓ Build Custom AI Agents Tailored to Your Needs
- ✓ Automate Repetitive Tasks and Complex Decisions
- ✓ Integrate Advanced AI Models (OpenAI, Google AI, etc.)
- ✓ Develop Smart Assistants for Messaging Platforms
- ✓ Connect Seamlessly with CRMs, ERPs, and Databases
- ✓ Leverage RAG Systems (Pinecone, Supabase) for Smarter Agents
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n8n: Your Gateway to Intelligent, Code-Free Automation
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.
With n8n, you can effortlessly automate business processes and connect hundreds of applications and services (including Google Sheets, Slack, CRMs, and much more). Its intuitive, flexible drag-and-drop interface makes complex automation simple and efficient.
🚀 Unlock limitless automation potential and supercharge your business productivity!
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What Exactly is an AI Agent?
An Artificial Intelligence (AI) Agent is an autonomous system designed to perceive its environment, make intelligent decisions, and act automatically. Think of it as a digital assistant that can execute tasks like sending emails, updating databases, processing information, and much more – all based on predefined rules, machine learning, or advanced AI models.
🚀 Reduce manual work, increase efficiency, and embrace intelligent automation!
I WANT TO BUILD AI AGENTSWhat You'll Master Inside the Course
Module 1: Introduction to n8n
Available Immediately
Get a comprehensive overview of the course and dive into the fundamentals of n8n, a powerful visual automation tool that allows you to connect various services and create efficient workflows.
📌 What You'll Learn:
- ✓ Course Objectives – What to expect and the skills you'll develop.
- ✓ Course Structure – How to follow the lessons and maximize your learning.
- ✓ About Your Instructor – Meet the expert guiding you on this journey.
- ✓ What is n8n? – An introduction to the platform and its key features.
- ✓ Why Use n8n? – Benefits and advantages for process automation.
🚀 Outcome: Understand the course's purpose and be ready to explore n8n's full potential in workflow automation!
Module 2: n8n Installation and Setup
Available Immediately
Learn how to install and configure n8n in various environments, both in the cloud and locally. We'll explore the advantages of each approach and how to choose the best option for your project.
📌 What You'll Learn:
- ✓ Setting up n8n in multiple environments for diverse needs.
- ✓ Cloud deployment with managed infrastructure.
- ✓ Local vs. Cloud: A comparison of pros and cons.
- ✓ Step-by-step local n8n installation and configuration.
- ✓ Deploying locally for a functional development setup.
🚀 Outcome: Be ready to set up n8n in the ideal environment for your business or project!
Module 3: Getting Started with n8n
Available Immediately
Take your first practical steps with n8n, learning to create, configure, and run automation workflows efficiently.
📌 What You'll Learn:
- ✓ Core workflow concepts in n8n.
- ✓ Using templates to speed up automation creation.
- ✓ Configuring credentials to connect various services.
- ✓ Running and testing workflows in the development environment.
- ✓ Understanding Triggers and Actions for dynamic automation.
- ✓ Implementing flow control and conditions for smart decisions.
- ✓ Data transformation and code execution for customization.
- ✓ Using HTTP requests and Core Actions for API integration.
- ✓ Leveraging AI within n8n for advanced automations.
- ✓ Importing and exporting workflows for sharing and reuse.
🚀 Outcome: Master n8n's core features and be ready to build powerful automations!
Module 4: Process Automation in n8n
Available Immediately
In this module, you'll learn to automate complex processes in n8n by connecting various tools and services to optimize workflows.
📌 What You'll Learn:
- ✓ Configuring API credentials to connect external applications.
- ✓ Integrating with Gmail and Google Drive, including sending files and notifications.
- ✓ Creating and managing forms, structuring data efficiently.
- ✓ Connecting and storing data in Airtable for easy information organization.
- ✓ Executing chained workflows for automating sequential processes.
- ✓ Using on-demand Webhooks to expand integration possibilities.
- ✓ Connecting with OpenAI models to apply artificial intelligence to automations.
- ✓ Extracting data from documents to make automation even smarter.
- ✓ Automation with AI integrated with Make or Zapier, expanding n8n's potential.
🚀 Outcome: By the end of this module, you'll master key automation and integration tools, creating intelligent and efficient flows!
Module 5: Artificial Intelligence Agents
Available Immediately
In this module, you'll learn about AI agents, how they work, and how to use them to perform automated tasks efficiently.
📌 What You'll Learn:
- ✓ What AI Agents are and how they operate.
- ✓ AI models applied to agents, understanding their structure and functionality.
- ✓ Managing agent memory for better information retention.
- ✓ Defining instructions for the agent to ensure it follows specific guidelines.
- ✓ Using knowledge tools to enhance agent capabilities.
- ✓ Analyzing agent functionality and evaluating its effectiveness.
- ✓ Executing automated actions based on agent decisions.
- ✓ Identifying parameters using AI to optimize automation processes.
- ✓ Measuring agent performance to ensure efficiency.
- ✓ Downloadable files with supplementary materials.
🚀 Outcome: By the end of this module, you'll understand how to configure, manage, and optimize AI agents for various applications, making your automation flows even smarter!
Module 6: Databases and AI Agents
Available Immediately
In this module, you'll deepen your knowledge of vector databases and how to use them to power artificial intelligence agents.
📌 What You'll Learn:
- ✓ Retrieval-Augmented Generation (RAG) – A technique to improve AI-generated responses.
- ✓ Vector databases and embeddings – How to store and retrieve information optimally.
- ✓ Types of vector databases, their differences, and applications.
- ✓ Storing data in Pinecone, a leading vector database service.
- ✓ How to add documentation to Pinecone to enhance information retrieval.
- ✓ Token Splitter, a tool for dividing texts and facilitating data processing.
- ✓ Storing data in vectors, understanding its importance in information organization.
- ✓ Embeddings and vectors, how they work and how to use them correctly.
- ✓ AI Agent responses, refining interaction and response accuracy.
- ✓ Downloadable files with supplementary materials.
🚀 Outcome: By the end of this module, you'll have a solid understanding of vector databases and how they can be integrated with AI agents to improve information retrieval and generation!
Module 7: AI Agent Memory
Available Immediately
In this module, you'll learn about the memory of artificial intelligence agents, understanding how to store, retrieve, and use historical data to improve model performance.
📌 What You'll Learn:
- ✓ Fundamentals of Memory in AI – How agents can remember and use past information.
- ✓ Storing Conversations – Methods for recording previous interactions.
- ✓ Using Postgres – How to deploy and store conversation histories in a relational database.
- ✓ Implementing RAG in Supabase – Strategies to enhance data retrieval.
- ✓ Vector Databases in Supabase – How to use them to optimize searches and contexts.
- ✓ Storing and Analyzing Vectors – Efficient data processing and organization.
- ✓ Advanced Interaction with the Agent – How to make the agent smarter and more responsive.
- ✓ RAG Without Deploying Memory – Strategy for queries without needing to store the entire history.
🚀 Outcome: By the end of this module, you'll be able to structure AI agent memory, ensuring smarter, more contextualized, and efficient interactions!
Module 8: Interacting with AI Agents
Available Immediately
In this module, you'll learn how to connect artificial intelligence agents to different communication channels, making them accessible and functional on various platforms.
📌 What You'll Learn:
- ✓ AI Interaction Channels – Options and strategies for connecting AI agents to different services.
- ✓ Creating a Bot and Configuring Credentials – How to create a bot and set its credentials correctly.
- ✓ Integrating with Telegram – Step-by-step guide to connect AI to Telegram.
- ✓ Configuring and Operating the Agent in Telegram – Necessary adjustments for optimal functionality.
- ✓ Downloadable Files – Auxiliary materials to facilitate implementation.
🚀 Outcome: By the end of this module, you'll be able to integrate and configure an AI agent in Telegram, enabling automated and intelligent interactions!
Module 9: Practical Case Study – Ecommerce Agent
Available Immediately
In this module, you'll see a practical example of how to develop an artificial intelligence agent for Ecommerce, assisting with customer service, inventory management, and automated queries.
📌 What You'll Learn:
- ✓ Creating an AI Agent for Ecommerce – How to structure a virtual assistant for online stores.
- ✓ AI Agent Foundations – Necessary fundamentals for the agent's operation.
- ✓ Customer Information – How AI can provide relevant and automated responses.
- ✓ Agent Design – Logical and visual structuring of the virtual assistant.
- ✓ Product Inventory Management – How AI can consult inventory control.
- ✓ Operating Instructions – Configurations and guidelines for efficient operation.
- ✓ AI Agent Queries – Practical examples of agent interactions and responses.
- ✓ Downloadable Files – Supplementary materials to facilitate implementation.
🚀 Outcome: By the end of this module, you'll have a functional AI agent for Ecommerce, capable of interacting with customers, answering questions, and managing product information!
Module 10: Practical Case Study – Personal Assistant
Available Immediately
In this module, you'll learn to create an intelligent AI-based personal assistant capable of managing contacts, scheduling meetings, and optimizing daily organization.
📌 What You'll Learn:
- ✓ Creating the AI Agent as a Personal Assistant – Essential structure and functionalities.
- ✓ Accessing Contact Information – How AI can search and organize contact data.
- ✓ Communicating with Contacts – Integration with different communication channels.
- ✓ Scheduling Meetings – Automation of appointments and calendar synchronization.
- ✓ Configuring the Personal Assistant – Adjustments and customization for better performance.
- ✓ Daily Use – Practical applications for productivity and organization.
- ✓ Downloadable Files – Support materials for implementation.
🚀 Outcome: By the end of this module, you'll have a functional AI assistant that can help manage tasks and facilitate your routine!
Module 11: Practical Case Study – AI Agent in Coworking
Available Immediately
In this module, you'll learn to develop an Artificial Intelligence Agent specialized for coworking spaces, capable of managing documents, events, and space reservations.
📌 What You'll Learn:
- ✓ Creating the AI Agent for Coworking – Structure and functionality of the virtual assistant.
- ✓ Coworking Documentation – Efficient organization and management of information.
- ✓ RAG System (Retrieval-Augmented Generation) – AI implementation with data retrieval.
- ✓ Database Structuring – Efficient creation and organization of tables.
- ✓ Relationships Between Tables – How to link data for an efficient system.
- ✓ Table Record Blocks – Information organization and automated processes.
- ✓ Events in Airtable – Integration with Airtable for event management.
- ✓ Data Obtaining and Manipulation – Techniques for extracting relevant information.
- ✓ Event Reservation Scheduling – Automation of the space booking process.
- ✓ AI Agent Definition and Parameterization – Adjustments and customization for optimization.
- ✓ Error Correction and Compatibility – Best practices to ensure stable operation.
- ✓ Downloadable Files – Additional resources to facilitate implementation.
🚀 Outcome: By the end of this module, you'll have a fully functional AI assistant to efficiently and automatically manage coworking spaces!
Module 12: Practical Case Study – Financial Assistant
Available Immediately
In this module, you'll learn to develop an Artificial Intelligence Assistant for personal financial management, capable of analyzing expenses, organizing data, and providing financial insights.
📌 What You'll Learn:
- ✓ Creating the AI Agent for Personal Finance – Main structure and functionalities.
- ✓ Agent's External Memory – How to store and retrieve financial information.
- ✓ Database Schema – Modeling and structuring for an efficient system.
- ✓ Visualizing Personal Expenses – How to display financial data clearly.
- ✓ Budget Analysis – Strategies for tracking income and expenses.
- ✓ Expense Accounting – Methods for recording and classifying transactions.
- ✓ Assistant Configuration – Customization of rules and guidelines.
- ✓ Computer Vision Model for Data Extraction – Automation of reading financial documents.
- ✓ Interacting with the Financial Agent – How to optimize communication and responses.
- ✓ Downloadable Files – Additional resources to facilitate implementation.
🚀 Outcome: By the end of this module, you'll have a functional AI assistant to help manage personal finances, providing greater control and financial planning!
Module 13: Practical Case Study – LinkedIn Agent
Available Immediately
In this module, you'll learn to develop an Artificial Intelligence Agent to interact with and extract data from LinkedIn, automating tasks and optimizing your presence on the platform.
📌 What You'll Learn:
- ✓ Creating the AI Agent for LinkedIn – Structure and main functionalities.
- ✓ AI Agent Organization – Improving workflow efficiency and scalability.
- ✓ Workflow Integration – Connecting the agent to automated processes.
- ✓ Parsing Parameters – How to extract and process information correctly.
- ✓ Obtaining LinkedIn Data – Data capture and analysis methods.
- ✓ Search Configuration – Strategies for refining LinkedIn searches.
- ✓ Error Correction with ChatGPT – Using AI to solve issues and improve interactions.
- ✓ Storing LinkedIn Data – How to structure and manage collected data.
- ✓ AI Agent Operation – Practical demonstration and final adjustments.
- ✓ Downloadable Files – Extra resources for implementation.
🚀 Outcome: By the end of this module, you'll have an AI agent capable of interacting, collecting, and processing LinkedIn information, helping to optimize connections and generate valuable insights!
Meet Your Instructor: Simão Pedro
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Simão Pedro is a Hyperautomation Specialist with several years of experience helping businesses and professionals leverage technology like n8n and AI to streamline operations and achieve significant growth. He is passionate about making complex technology accessible and empowering individuals to build powerful automations without needing to code.
Simão is the creator of the acclaimed Master RPA course and has trained teams at major companies such as Faber-Castell, Publicis, and Voith, focusing on practical application and real-world results.
Hear From Our Successful Students
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"[Quote highlighting a specific benefit or result achieved, e.g., This course completely changed how I approach automation. I saved X hours per week using the techniques taught! ]"– [Student Name], [Title/Company]
[Student Photo]
"[Quote focusing on ease of learning or instructor quality, e.g., I had zero coding background, but Simão Pedro's explanations made n8n and AI agents easy to understand and implement.]"– [Student Name], [Title/Company]
[Student Photo]
"[Another compelling quote about results or transformation, e.g., The practical case studies were invaluable. I was able to build my first AI agent within days!]"– [Student Name], [Title/Company]
Choose Your Plan & Start Automating Today
Your Satisfaction is Guaranteed
Try the course risk-free! We offer a 7-day, no-questions-asked money-back guarantee. If you don't find value in the course, simply email us within 7 days of purchase, and we'll issue a full refund.
Frequently Asked Questions
Is the course live or pre-recorded?
All lessons are pre-recorded, allowing you to learn at your own pace, anytime, anywhere.
Do I get a certificate upon completion?
Yes! You will receive a certificate of completion once you finish all course modules and practical exercises.
What if I have no programming experience?
This course is designed for everyone, even complete beginners! We focus on n8n's visual interface, meaning no prior coding knowledge is required. It's also ideal for small business owners looking to scale their operations and professionals wanting to enhance their automation skills.
Is there a money-back guarantee?
Yes, we offer a 7-day money-back guarantee. If you're not satisfied for any reason, just let us know within 7 days of purchase for a full refund.
How long do I have access to the course?
You get lifetime access to all course materials, including future updates!
What tools do I need for this course?
You'll primarily need access to n8n (we cover setup options, including free tiers/local installs) and accounts for any specific services you wish to integrate (many have free tiers available).
Still Have Questions?
If you're still unsure if the "Automation and AI Agents with n8n" course meets your needs, feel free to reach out directly via WhatsApp. Just click the button below to chat with us.
Chat on WhatsAppReady to Stop Wasting Time and Start Building Intelligent Automations?
This is your chance to master n8n and AI agent creation, even if you've never written a line of code. Gain the skills to automate tasks, optimize workflows, and unlock new levels of productivity for yourself or your business.
- ✓ Build powerful automations without coding.
- ✓ Create custom AI agents for specific tasks.
- ✓ Integrate seamlessly with hundreds of apps.
- ✓ Learn through practical, real-world case studies.
- ✓ Get lifetime access and a satisfaction guarantee.
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