← All courses
AI Automation Intermediate — recorded course
INTERMEDIATERECORDED VIDEOS

AI Automation Intermediate

Go deeper into n8n with model selection, structured outputs, memory, tool calling, human review and workflow logic. Apply the concepts in five practical automation projects.

n8nOpenAIClaudeGeminiOpenRouterPostgresGmailGoogle Sheets
YOUR LEARNING ROADMAP

Course curriculum

7 modules · 28 topics · 5 projects
01MODULE 1Introduction to AI Automation & n8n4 topics
  1. What is n8n? Its role in AI automation and real-world examples.
  2. Why n8n? No-code / low-code automation and business use cases.
  3. n8n vs Make vs Zapier: cost, flexibility, self-hosting and scalability.
  4. Create an n8n account, explore the dashboard and start a workflow.
02MODULE 2AI Models in n8n4 topics
  1. Chat models: Gemini, OpenAI, Claude and OpenRouter.
  2. Model selector: manage and choose between multiple AI models.
  3. Fallback model: keep workflows running when a primary model fails.
  4. Output parser: clean, structured JSON responses for automation.
03MODULE 3AI Memory & Context Management2 topics
  1. Simple vs advanced memory: short-term and long-term context.
  2. Postgres chat memory: conversation history and context window length.
04MODULE 4Tools, Actions & Human Review4 topics
  1. Tool calling: how AI uses external tools in practical automation.
  2. Connect Google Sheets, Gmail, Telegram, HTTP Request, webhooks and forms.
  3. HTTP Request tool: connect APIs, apps and software.
  4. Human review: add approval steps and confirmation for sensitive actions.
05MODULE 5Triggers in n8n4 topics
  1. On app event: run workflows when an application event occurs.
  2. Schedule trigger: daily, weekly and monthly automation.
  3. On webhook call: receive real-time data from websites, apps and systems.
  4. On form submission: automate lead, contact and survey forms.
06MODULE 6Data Processing & Workflow Logic10 topics
  1. Guardrails: control AI output for business use.
  2. Set Field: clean, rename, add and remove fields.
  3. Filter: pass or block data based on conditions.
  4. Limit: control the number of processed items.
  5. Split Out: turn an array into individual items.
  6. Aggregate: combine multiple data items.
  7. Merge: combine data sources.
  8. Switch: route workflows using multiple conditions.
  9. Wait: pause workflows before the next step.
  10. Code: add custom logic when required.
07MODULE 7Practical Projects5 projects
  1. Website Chatbot — AI replies and lead capture.
  2. Facebook Post Automation — AI content and scheduled posting.
  3. Instagram Post Automation — captions and content workflows.
  4. Email Automation — Gmail, personalized replies and follow-ups.
  5. Google Sheets Automation — lead storage, AI summaries and scheduled updates.
NPR 2,000Enroll Now →