AI Automation

6 months duration

12 modules

Updated Aug 17, 2026

Development & Programming

Course Overview

Get to know what this course is all about and what you'll learn

Course Description

AI Automation is a full programme that takes you from your first automated workflow to production automations a business depends on — without writing code. The complete AI Automation programme, and deliberately a no-code one. It continues straight on from AI Automation Foundations into advanced workflows, business-system integration, guardrails and running automations in production. Anyone who wants to build automations in code should take AI Engineering: The Developer’s Path instead.

What you'll learn

Automate real business processes end to end, with no programming
Build advanced workflows in n8n and Make, including multi-step agents
Connect the systems a business actually runs on — CRM, ERP, email, sheets
Ground automations in a company’s own documents and knowledge
Put evaluation, guardrails and human review around AI decisions
Handle security, privacy and compliance for automated work
Run automations in production: cost, monitoring and reliability

How it's delivered

Taught live with a mentor, module by module, with exercises after each. The programme ends with a capstone project you build and present. Submit every exercise and your capstone through your workspace.

What You'll Learn

The complete AI Automation programme, and deliberately a no-code one. It continues straight on from AI Automation Foundations into advanced workflows, business-system integration, guardrails and running automations in production. Anyone who wants to build automations in code should take AI Engineering: The Developer’s Path instead.

Course Curriculum

12 modules • Instructor-led • Hands-on projects

Course Curriculum

Prerequisites

None, and no programming is required at any point. The first six modules are shared with AI Automation Foundations, so Foundations graduates continue from module seven.

Learning Objectives

Automate real business processes end to end, with no programming
Build advanced workflows in n8n and Make, including multi-step agents
Connect the systems a business actually runs on — CRM, ERP, email, sheets
Ground automations in a company’s own documents and knowledge
Put evaluation, guardrails and human review around AI decisions
Handle security, privacy and compliance for automated work
Run automations in production: cost, monitoring and reliability

Course Modules

Module 1: How AI Automation Works

What today's AI can and cannot be trusted with, and how to tell the difference before you build. Map a process you do by hand, find the parts worth automating, and set the standard the finished automation has to meet.

What a large language model actually does, in plain terms
Where AI is reliable, where it is not, and how to tell
Mapping a manual process end to end
Choosing what to automate first: frequency, cost, risk
Defining "done" — what good output looks like
The tool landscape: assistants, workflows, agents
Cost, data and privacy considerations before you start