AI AutomationIntermediate · 6 weeks

AI Workflows & Automation

Automate the repetitive. Amplify the creative. Build workflows that work while you sleep.

The highest leverage use of AI is not just answering questions — it's building systems that answer questions for you. This programme teaches you to identify automation opportunities, design AI-powered workflows, and build end-to-end automated processes using modern no-code and low-code tools. You'll complete real workflow projects you can deploy immediately.

Self-PacedProject-Based

Prerequisites

—Some professional work experience
—Basic comfort with digital tools
—Curiosity about automation and process efficiency

What you'll be able to do

✓Identify and map repetitive tasks in your workflow that are candidates for AI automation
✓Design end-to-end AI-powered workflows using visual tools
✓Build working automations using n8n, Make, or Zapier AI
✓Integrate AI APIs into workflows for intelligent processing
✓Create human-in-the-loop workflows that keep you in control
✓Deploy and maintain AI automations that run reliably
✓Measure the time and cost savings of your automations

Curriculum

1. Understanding Workflows

·What a workflow is and how to map one
·Identifying repetitive, rules-based tasks worth automating
·The workflow automation maturity spectrum
·Where AI adds value in automation vs. rule-based automation

2. AI-Powered Workflows

·Adding AI intelligence to traditional automations
·Triggers, actions, and AI processing nodes
·Structuring prompts within automated workflows
·Error handling and reliability in AI workflows

3. Automation Fundamentals with n8n

·n8n setup and interface overview
·Building your first automation from scratch
·Connecting apps and services via n8n
·AI nodes in n8n: LLM calls, classification, and generation

4. APIs and Integrations

·What an API is and how to use one without code
·Connecting to OpenAI, Claude, and Gemini APIs
·Webhooks and event-driven automation
·Authentication and secure API connections

5. Human-in-the-Loop Workflows

·When to keep humans in the loop
·Approval steps and review workflows
·Escalation patterns for uncertain AI decisions
·Balancing automation speed with human oversight

6. Real Workflow Projects

·Project 1: Email triage and response automation
·Project 2: Research and report generation workflow
·Project 3: Content creation and publishing pipeline
·Project 4: Customer query classification and routing

7. Zapier AI and Make

·Zapier AI for non-technical automation
·Make (Integromat) for advanced workflow design
·Comparing tools: when to use what
·Migrating and managing automations at scale

8. Measuring and Scaling

·Quantifying time and cost savings from automation
·Monitoring automations for errors and drift
·Scaling automations across teams
·Building an automation culture in your organisation

Format & Duration

Duration

6 weeks

Format

Self-Paced, Project-Based

Level

Intermediate