
Learn to build fully automated AI workflows and autonomous systems without coding, connecting emails, messaging apps, CRM, and more to deploy production-ready automation pipelines in the cloud.
Explore the ai automation revolution, learn no-code tools to build agents and autonomous systems, and unlock rapid prototyping, cost savings, and scalable business impact.
Explore no-code automation with a focus on n8n, comparing competing tools like Zapier, Make, and Power Automate, and examining AI integration, self-hosting, and pricing strategies.
Learn to install and set up n8n across three options— online platform, local docker, and cloud self-hosting— while reviewing pricing, 14-day free trials, and workflows.
Master the n8n interface to build and manage automated workflows, explore settings, projects, variables, templates, and insights, and learn from scratch to productionize ai automation.
Explore the n8n canvas to drag and drop nodes, zoom, and manage workflows with shortcuts, notes, and an AI assistant guiding node creation and sharing.
Learn how automation, AI automation, and agents differ in predefined rules, smart outputs, and autonomous decision making; explore practical examples and the evolving capabilities of agentic workflows.
Explore the core concepts of automation with n8n, including workflows, nodes, triggers, actions, and data flow, explained through practical JSON-backed examples.
Explore what nodes are and how to build automations in n8n, including triggers, actions, data transformation, and AI nodes for connecting apps like Gmail, Google Sheets, and Notion.
Contrast automation and AI agents, and define their input-trigger-action-output flows. Show how deterministic automation differs from intelligent agent behavior with real-world examples.
Set up a basic form automation that collects inputs into a Google sheet and sends an email, while organizing the workflow within a project, folders, and notes.
Create an automated workflow in n8n that triggers on form submission, appends data to Google Sheets, and sends a personalized Gmail message with dynamic data.
Explore json basics in n8n: import templates, view key-value pairs, learn data types (string, number, boolean, null, array, object), and wire nodes to exchange information in workflows.
Understand the core automation concepts across frameworks and no-code tools by exploring workflows, nodes, triggers, actions, and data flow, with JSON as the information carrier.
Explore APIs, the backbone of applications, and how no-code tools rely on them. Through a restaurant ordering analogy, see how a menu, waiter, and kitchen illustrate API requests and responses.
Understand how APIs turn client requests into data by likening API documentation to a restaurant menu, http requests, and the API server to the kitchen.
Explain how APIs enable two systems to communicate via client requests and server responses, using restaurant analogies and backend data flows.
Understand rest APIs and http methods that enable data exchange with resources. Learn how get, post, put, and delete implement create, read, update, and delete operations.
Learn how http methods get, post, put, patch, and delete interact with data, including how searches use post, full-row updates use put, and partial changes use patch.
Identify an endpoint as an address for a resource within an API. Explore examples from restaurant addresses to cat facts and pizza endpoints to see how endpoints map to actions.
Learn how query parameters customize API requests in the backend, filtering data (for example by Hindi or Bollywood) and controlling results with templates and workflows in n8n.
Learn how query parameters enhance api calls by adding options like gluten free and extra spicy, and master sending filters via curl, headers, and Postman.
Learn how to use Postman to test and explore APIs with a GUI, understand hosts and endpoints, perform get requests, and use query parameters to customize API calls.
Understand how api headers carry extra information with requests, including cookies, user agent, Postman token, and content type, to manage calls, detect spam, and tailor responses.
Clarify the difference between query parameters and headers in API requests, showing how q=NBA appears in the URL while headers carry metadata like user agent and cookies for HTTP calls.
Navigate Tavoli API by logging in and using the post call for Tavoli search, highlighting how query parameters like q drive results and how different endpoints handle input.
Learn how authentication proves you may access a service, using api keys or bearer tokens in headers, and how body and query parameters shape api requests.
Explore how query parameters, headers, and body work in API requests, with authentication via bearer keys. Learn when to use each, their visibility, and data types.
Explore how api documentation explains endpoints, methods, and authorization, and how Swagger enhances it by enabling interactive testing, using a menu analogy to read and taste options.
Learn how to interpret and save API responses, and why preserving the consistent structure—query, answer, images, results, response time, request ID—matters for frontend logic.
Explore how API response codes signal success and errors, from 200 to 500, including 400, 401, 404, and 405, and learn about latency, authorization, and rate limiting.
Learn to handle errors gracefully, implement rate limiting, and paginate large data while using webhooks and versioning in ai automation with n8n.
Discover how to add apps into n8n using curl and http requests, import curl commands, and connect Gmail, calendar, and other APIs through the http node with no-code tools.
Explore configuring and using any API with n8n, comparing native integrations to HTTP requests, importing curl, and connecting custom apps via endpoints.
Explore n8n workflows with APIs using the http request node, including OAuth 2 authentication, headers, query parameters, and body, with practical endpoint examples.
Explore how to authenticate securely in n8n with the HTTP node, covering API key, bearer token, OAuth (1.0/2.0), header and query auth, and real-world examples.
AI automation and Agentic AI are redefining how modern businesses operate. With the rapid rise of intelligent agents, autonomous workflows, and no-code automation platforms, the ability to build AI-driven systems is becoming a core skill for developers, analysts, and AI professionals. n8n, a powerful open-source automation tool, is at the center of this transformation. It allows you to connect APIs, LLMs, business applications, and custom logic into smart automated workflows—without heavy coding.
This course, Complete AI Automation And Agentic AI Bootcamp With n8n, gives you a comprehensive understanding of how to leverage n8n to create intelligent automation systems and build fully functional Agentic AI applications. From fundamentals to advanced automation, this course covers everything you need to design, develop, and deploy cutting-edge AI workflows.
Introduction to AI Automation and n8n:
• Understand what AI automation is and how intelligent agents are shaping modern workflows.
• Learn why n8n has become one of the most popular tools for building automated systems.
• Explore the core capabilities of n8n and how it simplifies AI integration.
• See how AI, APIs, and automation work together in real-world scenarios.
Core Concepts and Architecture of n8n:
• Study how n8n workflows are structured, triggered, and executed.
• Understand nodes, triggers, integrations, and workflow logic.
• Learn how to manage API calls, authentication, and third-party services.
• Explore advanced workflow patterns used in enterprise automation.
Building AI Systems With n8n:
• Integrate LLMs such as ChatGPT, Claude, and open-source models into n8n.
• Connect AI pipelines with real-world APIs, databases, and business tools.
• Create intelligent agents capable of reasoning, planning, and automated decision-making.
• Build retrieval-augmented workflows that fetch, process, and generate responses using live data.
• Implement autonomous task execution systems using logic, memory, and dynamic prompts.
Agentic AI With n8n:
• Build multi-step AI agents that can perform complex sequences of tasks.
• Create autonomous assistants for email processing, content generation, analytics, and more.
• Learn how to use n8n to orchestrate multiple AI services.
• Enhance agent capabilities with context management, conditional flows, and error handling.
Integration With Leading AI Frameworks and Tools:
• Use n8n with LangChain for building AI pipelines.
• Connect n8n with vector databases like Pinecone, Chroma, and FAISS.
• Build hybrid systems combining no-code automation with Python-based AI services.
• Connect n8n workflows with cloud platforms such as AWS and GCP.
Projects You Will Build:
Build an AI-powered automation bot for email, CRM, and notifications.
Create an autonomous content-generation pipeline using LLMs.
Develop a real-time data intelligence agent with API integrations.
Build a multi-agent workflow combining n8n and LangChain.
Deploy an end-to-end AI automation system using Docker and GitHub Actions.
Security, Deployment, and Optimization:
• Learn best practices for securing n8n workflows and sensitive API keys.
• Deploy n8n locally, on VPS, or using Docker.
• Automate updates, testing, and deployment pipelines.
• Optimize agent workflows for speed, reliability, and scalability.
Who Should Take This Course:
• AI engineers looking to build autonomous and automated AI systems.
• Software developers exploring no-code and low-code AI automation.
• Data scientists who want to operationalize AI with minimal engineering overhead.
• Business professionals aiming to automate workflows and reduce manual work.
• Students and enthusiasts interested in intelligent agent development.
Key Learning Outcomes:
• Gain a complete understanding of AI automation fundamentals.
• Learn how to build advanced n8n workflows integrated with LLMs.
• Acquire hands-on experience through multiple real-world automation projects.
• Master the creation of Agentic AI systems using n8n and popular AI tools.
Technologies and Tools Covered:
• n8n workflow automation
• Large Language Models (OpenAI, Claude, Mistral)
• LangChain and vector databases
• APIs, Webhooks, and integrations
By the end of this course, you will have the mastery to design, automate, and deploy intelligent AI-driven workflows using n8n. You will understand how to build Agentic AI systems, automate complex processes, and create scalable automation solutions for real-world use cases.
Enroll now and become a leader in the future of AI-powered automation.