English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 88 Lessons (17h 32m) | 8.93 GB
Build AI-driven automation and Agentic AI workflows using n8n with real-world projects.
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.
Who this course is for:
- AI engineers wanting to build automated, intelligent workflows using n8n.
- Developers looking to create Agentic AI systems without complex coding.
- Data scientists interested in workflow automation and AI-driven pipelines.
- Beginners exploring no-code/low-code AI automation tools.
- Professionals aiming to integrate AI assistants into business operations.
Table of Contents
Introduction
1 Introduction
Introduction to AI Automation & n8n Foundations
2 AI Automation Revolution – Landscape, Opportunities and No Code Future
3 No Code Comparison – n8n vs Competition
n8n Setup & Interface
4 n8n setup
5 n8n Interface Mastery
6 n8n Canvas
7 Automation vs AI Automation vs Agents
n8n – Concepts & Nodes
8 n8n – Core concepts and Terminology
9 n8n – Nodes Explained
All Notes and Workflows
10 Resources
Automation with n8n
11 Automation vs AI Agents
12 Automating 1 – Intro
13 Automating a simple workflow
JSON with n8n
14 n8n – JSON & Workspace
15 Core Concepts and Terminologies – Recap
API with n8n
16 API in Depth
17 APIs in n8n
18 n8n workflow + APIs
19 Auth in n8n
AI in Automation
20 AI in Automation Explained
21 Automation vs AI in Automation – n8n Practical
22 Navigating the AI Landscape
Agents in Automation
23 What are AI Agents
24 AI Agents Continued with Practicals
Project – Social Media Automation
25 Problem Statement
26 Execution – Idea Generation + App Connection.mp4
27 Execution – Post Generation
Project – Github PR Automation Agent
28 Problem Statement Explanation
29 Workflow Creation
30 Fixing the Github Trigger Node
31 Workflow Creation & Run
32 Live Demonstration
Multi Agent Architecture Mastery
33 Automation to Multi Agent Architecture
34 Multi Agent System
35 Advantage of Multi Agent Architecture
Multi Agent Architecture – Chain of ThoughtAgent
36 Chain of Thought
Multi Agent Architecture – Parallel Flow
37 Parallel Flow
Multi Agent Architecture – ControllerRouter Agent
38 Controller or Router Agent
Multi Agent Architecture – React Agent
39 React Agent Architecture
40 React Architecture Implementation
Multi Agent Architecture – Hierarchal Agent
41 Heirarchial Agent Architecture
42 Agent as a Tool
43 Hierarchal vs Controller Agent Architecture
MCP ( Model Context Protocol Explained )
44 MCP – Application & Idea
45 MCP as a Solution
46 MCP Architecture Overview
47 Before and After MCP
48 MCP Practical
MCP in n8n Cloud
49 MCP in n8n
Running n8n on Local and Self-Hosted Cloud
50 n8n Cloud – Free Trial – Recap
51 n8n on Local via Docker.mp4
52 n8n Hosting on Cloud
Retrieval Augmentation Generation (RAG) explained
53 RAG explained
RAG on n8n
54 RAG Demo using n8n
RAG using Supabase
55 RAG Practical with Supabase
56 Add Memory with Supabase Postgress
RAG using Pinecone Vector DB
57 Using Pinecone as Vector DB
Mastering Local n8n
58 Local n8n Setup & Challenges
59 Routing Local n8n Request using ngrok
n8n Self Hosting Kit
60 n8n Hosting Via Self hosting Kit
61 Running n8n with local LLM via Ollama
62 ngrok tunneling in self hosted n8n
RAG with Self Hosted Kit
63 Local RAG with Qdrant & Ollama Embedding
64 Visulasing and Querying Local Qdrant RAG
65 Using OpenAI model with RAG for Quick Answering
MCP in n8n Self Hosted
66 MCP in self hosted n8n
67 Community Node Installation in Local n8n
68 Running stdio MCP on local n8n
69 MCP client Community Node Deep Dive
Project – Whatsapp Agent
70 Project Intro
71 Requirements for WhatsApp Integration
72 Choosing Self-Hosting with Hostinger
73 Setting Up n8n on VPS
74 Creating Meta Business App for WhatsApp
75 Configuring WhatsApp API Credentials
76 Creating Permanent Access Token
77 Doctor Query Automation Use Case
78 Testing Patient Records & Tickets in Airtable
Project – Video Creation with Gemini
79 Workflow Demo
80 Project and Objective
81 System Design & Setup Overview
82 Creating Telegram Bot & Integration
83 Handling Images & Google Nano Banana API
84 Building Feedback Loop for Edits
85 Transition to Video Creation with V3
86 Using Third-Party Services (KeyAI, Replicate, FAL)
87 Generating Videos & Handling API Responses
88 Final Workflow, Learnings & Closing Remarks
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