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A practical course on building reliable automations with n8n and adding intelligence using LangChain. Participants learn core workflow design, integrate LLMs, create assistants, and ship data workflows with clear operations patterns.
You will design maintainable n8n workflows and connect them to AI capabilities using LangChain. You will create conversational assistants, automate reporting, and orchestrate external APIs with proper error handling. By the end, you can deliver two small working assistants and a data analysis flow using reusable templates.
• Build and debug n8n workflows using nodes, connections, and tests
• Wire LangChain into n8n for prompt chains, tools, and custom AI steps
• Apply patterns for conditions, errors, webhooks, APIs, and scheduling
• Design chat assistants and data agents that summarize, extract, and visualize
• Comfort with basic scripting or APIs
• Access to an n8n instance and an LLM provider key
• Sample, non sensitive documents and data
*We know each team has their own needs and specifications. That is why we can modify the training outline per need.
Module 1: Workflow automation essentials with n8n
• Where automation helps and how n8n fits into a stack
• Environment setup instance choices, credentials, and permissions
• Navigating the canvas nodes, triggers, executions, and versions
• Project hygiene naming, folders, and reuse
Module 2: Build your first workflow
• Creating nodes and connections trigger, transform, deliver
• Automating a simple task from input to output
• Inspecting runs and using the debugger to trace data
• Safe changes cloning, versioning, and rollbacks
Module 3: Adding AI with LangChain
• LangChain building blocks models, prompts, tools, and chains
• Connecting LangChain with n8n credentials, HTTP, and community nodes
• Designing AI powered steps drafting, extracting, classifying
• Guardrails prompts, input sanitizing, and output schemas
Module 4: Advanced workflow operations
• Conditional routing and retries for resilient flows
• Webhooks and APIs receiving and calling external services
• Scheduling and recurring jobs for reports and checks
• Notifications and run summaries for stakeholders
Module 5: Chatbots and virtual assistants
• Designing conversational flows intents, context, and memory
• Implementing AI responses with tool use and retrieval
• Adapting behavior for support, HR, or finance scenarios
• Quality signals clarity, boundaries, and escalation rules
Module 6: Data analysis with AI agents
• Extracting key facts from text, tables, and PDFs
• Automating report generation outlines, summaries, and checks
• Visualizing metrics inside workflows images and links out to BI
• Storage and audit trails for reproducibility
Module 7: Project Traveler Co Pilot
• Speech to speech translation capture, transcribe, translate, synthesize
• Image to text for tickets and signs OCR and language detection
• Real time orchestration with queues, webhooks, and timeouts
• User handoff fallbacks and confidence thresholds
Module 8: Projects Chat with Docs and AI Driven Stock Analysis
• Chat with Docs document routing, Slack integration, retrieval augmented answers
• Collaborative actions mentions, channels, and notifications
• AI Driven Stock Analysis parsing 10 K reports and filings
• Producing executive summaries, risk notes, and simple charts
Hands-on learning with expert instructors at your location for organizations.
Master new skills guided by experienced instructors from anywhere.
