Courses

Understand the system. Then work inside it.

Start with strategy or go straight to hands-on. Each course stands alone. Together, they take you from understanding your marketing system to working with AI inside it every day. Foundations & Strategy isn't a prerequisite for the Applied AI Module.

Not sure which is for you? Take the 3-minute check-in and get the exact lessons to start with.

AI Marketing Engineer 01

Foundations & Strategy

Understand the system before you change it.

AI doesn't sit on top of marketing. It sits inside your data, your platforms and your customer journeys. This course gives you a clear working model of how modern marketing systems fit together, then shows where AI adds value and where your organisation should invest first.

Who it's for: Marketing leaders, heads of marketing, CMOs, strategists, consultants and senior marketers who haven't stayed close to the technology and want to lead AI decisions with confidence.

"I understand how modern marketing systems work, where AI fits, and where my organisation should invest."

Included with your 1:1 engagement. Not a client? Join the waitlist.

Core focus

Providing you the knowledge and understanding for you to lead AI focused projects with confidence, explain where you should invest first, and be able to brief your team or agency clearly.

Deliverables

You will take away from this course a clear map of your own marketing stack, an AI readiness assessment, a prioritised use-case shortlist and a draft business case.

Part 1

How we got here

01From digital to the connected customer to omnichannel to AI
02Why many organisations still struggle with omnichannel

Part 2

The marketing system, in plain English

03Marketing technology architecture
04CRM, CDP, marketing automation, analytics and customer data
05APIs, integrations, data flows and identity
06Structured and unstructured data
07Customer journeys and decisioning

Part 3

Where AI fits

08Where AI sits in the marketing stack
09AI opportunities across the customer journey
10AI maturity and readiness
11Governance, privacy, copyright and risk

Part 4

From opportunity to investment

12Identifying and prioritising AI use cases
13Business cases, implementation planning and measurement
14Organisational capability and skills gaps

AI Marketing Engineer 02

Applied AI

Learn how to work with AI every day.

This is the hands-on course. You'll learn how large language models behave, how to give them the context they need, and how to apply them across research, content, campaigns and analysis. Then you'll turn what works into repeatable workflows your team can use.

Who it's for: Any marketer who wants to get properly good at AI. No technical background needed, and you don't need Course 01 first.

"I can use AI confidently and practically across my marketing work."

Included with your 1:1 engagement. Not a client? Join the waitlist.

Core focus

Giving you the practical skill to work with AI every day, so ordinary tasks take less time, the output sounds like your brand, and your best work becomes repeatable for the whole team rather than just for you.

Deliverables

You will take away from this course your own brand voice guide for AI, a personal prompt library, at least three working workflows and a quality-control checklist for your team.

Part 1

How AI works

01How generative AI and LLMs work
02Models, context windows and hallucinations

Part 2

Prompting and context

03Prompting fundamentals
04Context, roles, constraints and examples
05Capturing your brand voice
06Building a prompt library

Part 3

AI across your marketing work

07Research and customer insight
08Content generation and repurposing
09Email, social and advertising
10Image generation and video

Part 4

AI for analysis

11Data analysis and campaign analysis
12A/B testing and reporting
13Working with files and large datasets

Part 5

From tasks to systems

14Knowledge bases and retrieval
15Building repeatable workflows
16Automations
17Introduction to agents
18Human review and quality control