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AI Automation with n8n & No-Code Tools

Build practical, job-relevant capability in AI Automation with n8n & No-Code Tools through guided practice, projects and a capstone.

8 chapters 50 lessons 16 hours
Career track 01

AI & Automation Learning Path

Build practical AI capability from everyday use to automation, agents and multimodal workflows.

Jobs this leads to AI-enabled operations, automation support, productivity and content workflows
6 courses · 98 hours · ~4 months See the path

Why take this course?

1

Starts with Automation thinking, triggers, actions and data flow and progresses toward deploy an end-to-end business automation

2

Includes 8 focused chapters and 50 guided lessons with practice and review

3

Built around practical AI Automation with n8n & No-Code Tools workflows rather than generic theory or income promises

What you will be able to do

  • Explain and apply the core concepts of AI Automation with n8n & No-Code Tools
  • Use the current tools and workflows used in real projects
  • Complete guided exercises and troubleshoot common problems
  • Produce a portfolio-ready or application-ready capstone
  • Evaluate quality, risk, ethics and professional best practices

Full curriculum

8 chapters · 50 lessons
  • Concepts: Automation thinking, triggers, actions and data flow 12m FREE
  • Setup: Automation thinking, triggers, actions and data flow 18m FREE
  • 🔒 Guided start: Automation thinking, triggers, actions and data flow 18m
  • 🔒 Practice: Automation thinking, triggers, actions and data flow 24m
  • 🔒 Common mistakes: Automation thinking, triggers, actions and data flow 18m
  • 🔒 Checkpoint: Automation thinking, triggers, actions and data flow 16m
  • Concepts: n8n setup, credentials, nodes and executions 14m FREE
  • 🔒 Setup: n8n setup, credentials, nodes and executions 14m
  • 🔒 Guided start: n8n setup, credentials, nodes and executions 20m
  • 🔒 Practice: n8n setup, credentials, nodes and executions 26m
  • 🔒 Common mistakes: n8n setup, credentials, nodes and executions 14m
  • 🔒 Checkpoint: n8n setup, credentials, nodes and executions 18m
  • 🔒 Principles: APIs, webhooks, JSON and data transformation 12m
  • 🔒 Tools: APIs, webhooks, JSON and data transformation 18m
  • 🔒 Guided build: APIs, webhooks, JSON and data transformation 24m
  • 🔒 Applied exercise: APIs, webhooks, JSON and data transformation 24m
  • 🔒 Troubleshoot: APIs, webhooks, JSON and data transformation 18m
  • 🔒 Quality review: APIs, webhooks, JSON and data transformation 22m
  • 🔒 Checkpoint: APIs, webhooks, JSON and data transformation 16m
  • 🔒 Principles: Connecting email, sheets, forms and databases 14m
  • 🔒 Tools: Connecting email, sheets, forms and databases 20m
  • 🔒 Guided build: Connecting email, sheets, forms and databases 20m
  • 🔒 Applied exercise: Connecting email, sheets, forms and databases 26m
  • 🔒 Troubleshoot: Connecting email, sheets, forms and databases 20m
  • 🔒 Quality review: Connecting email, sheets, forms and databases 18m
  • 🔒 Checkpoint: Connecting email, sheets, forms and databases 18m
  • 🔒 Project brief: LLM nodes, retrieval and structured outputs 14m
  • 🔒 Plan: LLM nodes, retrieval and structured outputs 16m
  • 🔒 Hands-on build: LLM nodes, retrieval and structured outputs 30m
  • 🔒 Real scenario: LLM nodes, retrieval and structured outputs 30m
  • 🔒 Review: LLM nodes, retrieval and structured outputs 18m
  • 🔒 Checkpoint: LLM nodes, retrieval and structured outputs 18m
  • 🔒 Project brief: Human-in-the-loop approvals and error handling 10m
  • 🔒 Plan: Human-in-the-loop approvals and error handling 18m
  • 🔒 Hands-on build: Human-in-the-loop approvals and error handling 32m
  • 🔒 Real scenario: Human-in-the-loop approvals and error handling 26m
  • 🔒 Review: Human-in-the-loop approvals and error handling 20m
  • 🔒 Checkpoint: Human-in-the-loop approvals and error handling 20m
  • 🔒 Advanced concepts: Production reliability, logging, security and cost control 16m
  • 🔒 Workflow: Production reliability, logging, security and cost control 22m
  • 🔒 Case study: Production reliability, logging, security and cost control 22m
  • 🔒 Advanced practice: Production reliability, logging, security and cost control 28m
  • 🔒 Edge cases: Production reliability, logging, security and cost control 22m
  • 🔒 Optimise: Production reliability, logging, security and cost control 20m
  • 🔒 Checkpoint: Production reliability, logging, security and cost control 18m
  • 🔒 Capstone brief: deploy an end-to-end business automation 14m
  • 🔒 Plan: deploy an end-to-end business automation 16m
  • 🔒 Build: deploy an end-to-end business automation 38m
  • 🔒 Professional review: deploy an end-to-end business automation 24m
  • 🔒 Present and reflect: deploy an end-to-end business automation 16m

Course guidance

A

AlinLearning AI & Automation Course Team

AI workflows, automation and applied practice

This course is maintained as a practical learning path with guided workflows, review checkpoints and responsible-use notes.

Official reference anchors

Curriculum references used for maintenance

These links are reference sources for course maintenance. They do not imply certification, endorsement or guaranteed outcomes. Platform rules and requirements can change.

Common questions

Is this course pre-recorded?

The delivery format is shown inside the course. Available lessons, videos, reading material and activities can be completed at your own pace unless a live session is specifically stated.

How long do I keep access?

Course access remains available according to the access terms shown at purchase.

What if the course is not right for me?

Check the current published Refund Policy before purchase.

Do I get a completion record?

The platform can show course completion and certificate-verification features where enabled.

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