AI Automation Foundations

8 weeks duration

7 modules

Updated Aug 12, 2026

Development & Programming

Course Overview

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

Course Description

AI Automation Foundations is a eight-week, build-first program for automating real business processes with AI. Put AI to work on the jobs your team does by hand. AI Automation Foundations teaches you to map a manual process, wire the tools together, and ship automations that run without you — no programming background required.

What you'll learn

Judge which manual processes are worth automating, and which are not
Write prompts that produce reliable, structured output
Build multi-step workflows with triggers, branching and error handling
Connect systems together using APIs, webhooks and shared data
Stand up an assistant that answers from your own documents
Run an AI agent with a human approving the consequential steps
Automate one real business process end to end and hand it over

How it's delivered

Weekday lessons are on-demand (Monday–Thursday); live sessions on Friday and Saturday apply each week's topic with a mentor. The course ends with a capstone project. Submit every exercise and your capstone through your workspace.

What You'll Learn

Put AI to work on the jobs your team does by hand. AI Automation Foundations teaches you to map a manual process, wire the tools together, and ship automations that run without you — no programming background required.

Course Curriculum

7 modules • Instructor-led • Hands-on projects

Course Curriculum

Prerequisites

Comfort using a computer and everyday business tools such as spreadsheets and email. No programming background required. A laptop and an internet connection; access to the automation and AI tools is provided or guided.

Learning Objectives

Judge which manual processes are worth automating, and which are not
Write prompts that produce reliable, structured output
Build multi-step workflows with triggers, branching and error handling
Connect systems together using APIs, webhooks and shared data
Stand up an assistant that answers from your own documents
Run an AI agent with a human approving the consequential steps
Automate one real business process end to end and hand it over

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