
Explore three automation levels with n8n, Agent Builder, and Opal: data movement, AI thinking, and app interfaces. Learn how these tools collaborate to build end-to-end AI apps.
Discover n8n, a no-code low-code automation platform with a visual drag-and-drop workflow and 400-plus integrations, enabling trigger, logic, and action pipelines with artificial intelligence tools.
Learn to install n8n via Docker, compare cloud and self-hosted (community) editions, and run a local instance with secure authentication and documentation-backed steps.
Explore the differences between cloud and self-hosted n8n, comparing setup speed, maintenance, data location, pricing, and customization for teams, privacy, and enterprise needs.
Explore the n8n dashboard, from the overview and templates to credentials and execution, and learn to create and manage workflows with the visual editor.
Explore the n8n workflow editor to build automations with a drag-and-drop canvas and minimap, connecting apps and APIs via triggers and actions.
Create your first automated workflow in n8n by linking a manual trigger to a Gmail send action, configure Gmail with OAuth2 credentials, and test end-to-end email delivery.
Build an n8n credit card application workflow that uses a form submission, age-based conditional logic, and OpenAI-powered email replies via Gmail, with data auto-logged to Google Sheets.
Use a switch node and conditional logic to route form data by age (underage, eligible, overage) and send emails only to eligible recipients, integrating Google Sheets and Gmail.
Discover how conditional nodes drive automation in n8n by evaluating data with the if node, routing outcomes with the switch node, and coordinating flow with merge and wait nodes.
Explore how to implement conditional routing with the if node in n8n, using a data-normalizing set step to route high-priority, country-specific, or delay-related customer queries via email.
Design advanced conditional workflows in n8n using if, switch, wait, and merge nodes to moderate form submissions, classify content with AI for harms, and log results to Google Sheets.
Discover how ai agents in n8n move from question to action by combining a chat model with memory and tools to read, analyze, and act on data in Google Sheets.
Build and configure AI agents by wiring multiple tools into an OpenAI chat model, including jokes, date, Wikipedia, password, EMI, and RSS tools, then test workflows and explore NATEN templates.
Automate a weekly finance newsletter in NN10 with a Monday 9 a.m. schedule trigger, date variables, perplexity AI draft, html formatting, and Gmail delivery.
Build a SQL-driven conversational workflow that turns a PostgreSQL database into a chat assistant using Superbase, an OpenAI agent, and memory to answer questions without writing SQL.
Design a real-world, zero-code email workflow that uses Google Sheets leads, routes by stage (landing page, product page, onboarding) and logs send times to a mini crm with automated follow-ups.
Master advanced email template automation by building a multi-step workflow that tracks visitors with a timestamp, updates a Google Sheet, and sends targeted emails after product and KYC page visits.
Are you an automation enthusiast, business professional, AI learner, developer, operations specialist, or someone looking to build intelligent automation systems without complex coding?
Imagine designing powerful, production-ready workflows that automate repetitive tasks, integrate multiple tools, make intelligent decisions using AI, and even build complete AI-powered applications — all using modern automation platforms.
Modern businesses no longer rely on manual processes. They rely on automation systems, AI-driven decision engines, and intelligent applications that operate 24/7.
This course is designed to take you from workflow automation to AI agent engineering and finally to AI-powered app development — step by step.
You will begin with n8n, mastering workflow automation and system logic.
Then you will move into OpenAI AgentKit, where you build intelligent AI agents capable of reasoning, classification, branching, and structured execution.
Finally, you will learn Google Opal to create AI-powered applications that transform automation into real business solutions.
Instead of learning isolated tools, you will build a complete automation mindset — from triggers and conditions to AI reasoning and application deployment.
What You Will Learn
• Design scalable automation workflows using n8n
• Implement triggers, conditional logic, branching, and orchestration
• Build AI-powered workflows and business automation systems
• Integrate external tools like Google Sheets, SQL, APIs, and web services
• Develop intelligent AI agents using OpenAI AgentKit
• Implement classification, decision logic, loops, and human approvals
• Manage structured data and external knowledge integration
• Build AI-powered applications using Google Opal
• Create real-world automation apps like content retrieval and utility tools
• Deploy secure, production-ready intelligent systems
Why This Course Is Important
Automation is no longer optional.
Organizations are shifting from manual processes to intelligent systems that automate operations, reduce human error, and increase efficiency.
But most people either:
• Learn only basic automation
• Or jump directly into AI without understanding workflow logic
This course bridges that gap.
You will learn how automation works first — then how AI enhances automation — and finally how to turn everything into real applications.
Instead of fragmented learning, you build structured expertise.
From automation engineer → to AI workflow designer → to AI application builder.
What Makes This Course Unique
This is not just an n8n tutorial. This is not just an AI agent demo. This is not just a Google Opal walkthrough.
This is a complete automation ecosystem.
Every concept is taught through practical implementation:
• You build real automation workflows
• You design AI agents step by step
• You implement branching, loops, and structured logic
• You handle real-world workflow scenarios
• You deploy and manage production systems
The course is structured clearly and explained in simple language — making it suitable for beginners entering automation as well as professionals upgrading their AI capabilities.
No prior experience in n8n, AI agents, or Google Opal is required.
You will start from the foundations and gradually move toward advanced, production-ready intelligent systems.
Start Your Automation & AI Journey
Automation powers operations. AI powers intelligence. Applications deliver value.
In this course, you will learn how to combine all three.
You will design workflows, build AI agents, integrate external systems, implement decision logic, manage data flows, and create intelligent AI applications.
If you are ready to master modern workflow automation and AI system design, enroll now in the Workflow Automation Bundle and start building like a modern automation engineer.