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Career track · AI Automation

Learn AI automation: take the repetitive work in a business and hand it to AI.

Every business has hours of repetitive work that AI can now handle reliably, if the automation is designed well. Learn to find it, build it with human approvals, and keep it running.

Or get your personal AI playbook now

What changes

Your work, re-mapped.

How AI is changing this work today, task by task. Your assessment maps it onto your own week.

Tasks AI can already do for you.

  • Copy-paste between apps
  • Manual email triage
  • Routine data entry and reports
  • Repetitive document processing

The curriculum

Ten modules.
One path through them.

Your assessment orders these for your level and goals and skips what you already know. Open any module to see what it covers.

01Automation fundamentals5 topics

How automations work and where AI changes them.

  1. Triggers, actions and data
  2. Rule-based vs AI steps
  3. The platforms compared
  4. Self-hosting vs cloud
  5. Your first automation
02Finding processes worth automating5 topics

Spot high-value automations, and the ones to avoid.

  1. Process discovery interviews
  2. Measuring time and error cost
  3. Value vs risk scoring
  4. Writing an automation spec
  5. Saying no to bad projects
03Working with data and APIs5 topics

Move and transform data reliably.

  1. JSON in plain language
  2. APIs and webhooks
  3. Authentication
  4. Data mapping and transformation
  5. Rate limits
04AI steps in workflows5 topics

Classify, extract, summarise and draft inside automations.

  1. Prompting inside workflows
  2. Structured output from LLMs
  3. Document and email processing
  4. Choosing models for cost
  5. Handling bad AI output
05AI agents in automation5 topics

When to let an agent decide the next step.

  1. Agent nodes and tools
  2. Agents vs fixed workflows
  3. Memory and context
  4. Approval gates
  5. Testing agent behaviour
06Human-in-the-loop design5 topics

Keep people in control of what matters.

  1. Approval and review steps
  2. Exception queues
  3. Escalation rules
  4. Audit trails
  5. Designing for trust
07Reliability and maintenance5 topics

Automations that keep working after handover.

  1. Error handling and retries
  2. Logging and alerts
  3. Versioning workflows
  4. Monitoring costs
  5. Fixing broken integrations
08Common business automations5 topics

Proven patterns for sales, support, finance and ops.

  1. Lead capture to CRM
  2. Support triage and replies
  3. Invoice and expense processing
  4. Reporting pipelines
  5. Content workflows
09Security and data protection5 topics

Protect client data and credentials.

  1. Credential management
  2. Data privacy rules
  3. Least-privilege access
  4. Self-hosting for sensitive data
  5. Client agreements
10Building an automation practice5 topics

Turn automation skills into a job or business.

  1. Packaging services
  2. Discovery calls and proposals
  3. Delivery and documentation
  4. Retainers and support
  5. Case studies and portfolio

Outcomes

By the end, you can.

  • 01Find and scope automations that save real hours
  • 02Build robust workflows with AI steps and human approvals
  • 03Maintain and monitor automations after handover
  • 04Package automation work for clients or an employer

Tools and techniques you'll use

  • n8n
  • Make
  • Zapier
  • Power Automate
  • OpenAI, Claude and Gemini APIs
  • Airtable
  • Supabase
  • Webhooks and APIs

Who it's forOperations people, freelancers, agency builders and anyone who wants to automate business work.

The course is opening soon

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Join the waitlist for the AI Automation course. One email when it opens, nothing else.

Questions

Good to know.

Is n8n better than Zapier for AI automation?

For complex, AI-heavy workflows, many builders prefer n8n or Make for branching logic, control and self-hosting. Zapier is fastest for simple flows. The course covers when to use each.

Can I build an AI automation business with this?

The final module covers finding clients, scoping projects and delivering reliably. Treat it as skills training rather than an income guarantee.

When does the course open?

The full course is being built now and opens to the waitlist first. Join with your email and we'll tell you as soon as it's ready.

How is the course personalised?

Before the course, a five-minute assessment, by text or by voice with Iris, our AI guide, learns your role, daily work, skills and goals. Your personal playbook then orders these modules for your level and goals and skips what you already know.

What can I do while I wait?

Take the assessment now. You get your personal AI playbook straight away, with the tasks in your work AI can take over, the ones it speeds up, and your learning path.