AI Automation Engineer with n8n

LearnKartS via Coursera Specialization

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Overview

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AI teams are being built faster than most organizations can train them. This specialization ensures your team is not left behind. The AI Automation Engineer with n8n specialization takes you from your first workflow to a deployed multi-agent AI system. Here is what you will build: Reliable Automated Workflows Design workflows that handle conditional routing, data processing, & error recovery so operations run without manual intervention. AI-Integrated Business Pipelines Put leading AI models to work inside your processes. Control how they respond, what they return, & how they behave as requirements change. AI Agents That Act, Remember, and Decide Build agents that use tools, retain context, and act independently. Secure every integration to production standards. AI Systems That Know Your Business Give your AI the ability to answer from your own data and documents. Add multimodal understanding where workflows need it. Coordinated Multi-Agent Operations Connect AI tools into one orchestrated system. Add human approval checkpoints so your team stays in control of critical decisions. Capstone: 4-Agent Customer Support System Build & deploy a complete AI support pipeline, then harden it with monitoring, cost controls, and enterprise-grade security. Built by the team behind 160+ Coursera courses & trusted by 200,000+ learners. Ideal for enterprise teams and individual professionals across industries who want practical, deployable AI skills. Start building today.

Syllabus

Course 1: Workflow Automation with n8n: Logic, Data & Error Handling
Course 2: Integrate AI Models in n8n: Prompt Engineering & Outputs
Course 3: Build AI Agents & Secure API Integrations with n8n
Course 4: AI Memory Systems: Production RAG Pipelines with n8n
Course 5: Build MCP Automation Projects with n8n: Connect AI Clients
Course 6: Multi-Agent Systems Design: AI Customer Support with n8n
Course 7: Deploy, Test & Secure AI Workflows with n8n

Courses

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What if your AI could search your own documents and respond with context it actually understands? That is exactly what you will build here. This course teaches you to build AI memory systems using RAG, the retrieval architecture behind intelligent document search, enterprise knowledge bases, and AI-driven support tools. Here is what you will mainly build: AI Memory & Retrieval Foundations: Understand why AI loses context, how RAG retrieves the right information before responding, & how vector embeddings enable semantic search. You will also compare traditional RAG with agent-based RAG. A Working RAG Knowledge Base: Ingest PDFs, store OpenAI embeddings in Supabase with pgvector, & build a live query pipeline using GPT-4o mini with a fallback handler for unanswerable queries. Multimodal RAG with Gemini Vision: Use OCR and Gemini Vision to extract context from images, store image embeddings, and query visual content through semantic search. Built for professionals across any function who want AI that works with real organizational data. Over 200,000 professionals across 160+ LearnKartS courses have already built these skills. Start building yours now.
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Knowing what AI agents are is not the same as building one that works. This course closes that gap. AI agents are already automating research, handling APIs, securing integrations, and making decisions in real workflows. This course gives you the hands-on skills to do the same. Here is what you will build: AI Research Agent with Live Web Search & Memory: Your agent searches the web, scrapes results, stores the context in memory, & delivers structured research without you lifting a finger. Weather API Bot with Webhooks and Custom Logic: Get real-time weather alerts delivered automatically through a live API, a webhook trigger, and custom JavaScript logic you build yourself. Secure Webhook System with HMAC and Rate Limiting: Protect your API integrations with signature-based security, block unauthorized access, and keep your system stable under load. Who is this for: professionals, career switchers, and curious builders across every role who want to go beyond basic automation and start building AI systems that work. 200,000+ learners have chosen LearnKartS across 160+ courses on Coursera. The skills you build here are already in demand. Claim your spot now.
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What if your AI could trigger and run workflows without waiting for a human to start them? That is exactly what you will build here. This course teaches you to connect AI clients to live n8n systems using Model Context Protocol, the layer that turns AI from conversational to operational. Here is what you will build: An MCP-Connected n8n Automation Server: Configure n8n as a live MCP server, publish workflows as AI-callable tools, & manage access with tag-based authentication. Live Integrations with Claude Desktop, Cursor, and Antigravity: Connect AI clients to n8n via MCP, test live tool calls, run multi-client setups, & debug by using Cursor. Two Deployable Projects: A Daily Task Rewriter to Telegram with GPT and Google Sheets, and a Daily News Digest pulling AI, world, and finance news via Perplexity and NewsAPI. Production AI System Engineering: Multi-tool orchestration, failure handling, MCP security, prompt engineering for tool execution, and cost optimization. Built for professionals across any function who want to connect AI to real-world workflows and automation systems. Trusted by 200,000+ learners across 160+ LearnKartS courses. Give your team the skills to build what is next.
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Enterprise AI initiatives don't fail in planning. They fail in production. This course covers what most skip: deploying, securing, & keeping AI systems reliable under real operating conditions. Here is what you will master: Workflow Deployment & Exposure: Move n8n workflows from local to live, establish public access with ngrok, validate each of the deployment end to end, & ship with confidence. Production Optimization & Migration: Build workflows that typically handle uncertainty without breaking. Migrate from Docker to VPS & complete full production configuration. Monitoring, Logging & Debugging: Maintain full visibility into live AI systems with logs, alerts, & cost controls that keep operations predictable and accountable. AI Security and Evaluation: Protect business-critical workflows from manipulation and unreliable outputs using security controls, output scoring, advanced RAG, and MCP permission models. Built for automation engineers, enterprise teams, and AI professionals who need production-ready n8n systems. 200,000+ professionals trust LearnKartS across 160+ Coursera courses. Make your AI workflows production-ready. Start today.
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Most people use AI by typing into a chat window and waiting for a reply. This course is what comes after that, and it changes how you work. Learn to embed OpenAI, Claude, Gemini, and Ollama into n8n workflows that run, decide, and act on their own. Here is what you will build: Smart Email Automation with Gmail, Slack, and Telegram: Route emails, classify leads, send real-time alerts, & manage labels automatically. AI Model Integration (Cloud and Local LLMs): Connect OpenAI, Claude, and Gemini to n8n. Set up Ollama to run AI models locally for free. Prompt Engineering That Gets Results: Write prompts by using live data. Control AI behaviour with temperature & token settings. Reliable AI Workflows with Structured Outputs: Get AI to return clean, usable data. Add validation, retry logic, & fallback handling. AI Email Intelligence System OpenAI classifies emails. Then, Claude summarises them. Data routes to Notion with typically full testing. Built for learners across every profession who want AI working for them, not just responding to them. Over 200,000 learners have built real skills through 160+ LearnKartS courses on Coursera. Start building AI workflows today that run without you.
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The challenge for most enterprises is not awareness of AI. It is the gap between knowing what AI can do and having teams who can build and deploy it. This course closes that gap by allowing you to design and deploy a 4-agent AI customer support pipeline using n8n, MCP, and RAG. Here is what you will mainly build: Multi-Agent Pipeline Design: Configure a system where a Classifier Agent triages queries, a Reply Builder generates responses, & a Human-in-the-Loop layer gives your team control over every interaction. RAG-Powered Knowledge Base: Connect a Supabase knowledge base via. MCP so, each of the AI response is grounded in actual support content. AI Classification & Automated Replies: Build a GPT-4o-mini-powered classifier that typically reads emails, scores confidence, and routes tickets with a Telegram approval step for flagged cases. Testing and Production Deployment: Validate the pipeline with real data and deploy to a live environment so the system runs without manual intervention. Designed for enterprise teams and professionals ready to move from AI strategy to AI execution. 160+ LearnKartS courses have put 200,000+ learners ahead of the curve. Build your first production AI system today.
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Every professional has tasks that eat time and deliver zero value. Most of those tasks can be automated. This course shows you exactly how. n8n is considered one of the most powerful open-source workflow automation tools available today. This course takes you from zero to building a production-ready automation without writing a single line of backend code. Here is what you will build: Set Up n8n and Go Live Get n8n running. See how workflows execute and how n8n compares to Zapier and Make. Work with JSON and Live Integrations Stop fearing JSON. Connect Google Sheets and Gmail to automate data tasks and email replies. Build Smart Multi-Branch Workflows Create workflows that decide on their own using IF, Switch, and Filter nodes. Transform Data and Process at Scale Clean messy data automatically. Handle large datasets in batches, so workflows never slow down. Build Automations That Do Not Break Handle errors so automations keep running when something goes wrong. Ideal for professionals in any role who want to work smarter, save hours every week, and build skills that are in high demand across every industry. 160+ LearnKartS courses have moved 200,000+ learners ahead. Start automating now.