AI Training for Marketers and Marketing Teams
Learn how your marketing systems and data fit together, where AI adds value, and how to turn it from an occasional tool into the way your team works day to day.
Not sure where to start? Take the 3-minute check-in →
Built from more than two years of production AI, marketing and growth implementation projects.
How did we get here?
Where we've come from
| Layer | What it promised | What it left unfinished |
|---|---|---|
| Website late 1990s | A shop window open all hours | Visitors stayed anonymous |
| CRM 2000s | One record per customer | Records split across teams and tools |
| Marketing automation late 2000s | The right message at the right time | Rules built on incomplete data |
| CDP mid 2010s | A single view of the customer | Hard to connect and harder to own |
| Omnichannel 2010s | A joined-up experience everywhere | Most teams still run channels separately |
New to any of these terms? Read the glossary →
Where we are
Every new layer added something. None took anything away. Most organisations now have the layers but not the connections, and AI is being added on top.
AI can make your marketing dramatically faster. The question is what exactly it's speeding up.
Where we're going
What that means for you
| If you're a… | Your job becomes… |
|---|---|
| Marketing leader | Deciding where AI goes first, and making it safe to scale |
| Marketing manager | Turning good individual AI use into team habits |
| Marketing ops | Connecting the layers so AI has the context it needs |
| Marketer or assistant | Using AI well every day, and knowing when to check its work |
Learn in three layers
Go as deep as your role requires. A marketing leader does not need to become a developer, but they should understand enough to make better decisions.
What is an AI marketing engineer? Someone who understands how marketing systems fit together and can turn AI into repeatable ways of working. You don't need to write code. It's a way of thinking, and you can go as deep as your role needs.
Find your path
| I'm a… | Start with | You'll leave with |
|---|---|---|
| CMO or marketing leader | Course 01 | Readiness assessment, prioritised use cases, draft business case |
| Head of marketing | Course 01, then Course 02 | A plan and working workflows for the team |
| Marketing ops or MarTech | Course 02 and the Vault | Schemas, integrations and first automations |
| Content or campaign marketer | Course 02 | Brand voice guide, prompt library, three workflows |
| Assistant or coordinator | Course 02, Parts 1–3 | Confident everyday AI use and real work samples |
Not sure? Take the 3-minute check-in →
What it covers
What it covers
Go deeper when you need to
The two core courses give you the broad path. Everything below goes narrow, on one problem at a time, and grows as the work does.
Focused, one-problem courses that go narrow where the core courses go broad.
First up: Building an AI research workflow and Building your first marketing agent.
Being written. Not released yet.
Six collections of working assets: AI skills, prompts, code snippets, checklists, data schemas and integration maps.
Clients also get a vault customised to their business. All of it is meant to be opened, adapted and used inside real work.
Open the Toolkit Vault →What I'm seeing in client work: experiments, things that worked, and things that did not.
Read Field Notes →Don't just watch
Every module should leave you with something useful, not just another video watched or certificate completed.
Learn something → build something → keep it.
Where this came from
For the last two years I have worked with marketing teams on AI, data, technology and automation. The same problem kept appearing.
Leaders were being asked to decide on AI without a clear view of the systems underneath it. At the same time, others were using AI constantly but could not turn those experiments into repeatable ways of working.
So I started teaching both. This library is the result.
Built by Benny R, a marketing and growth practitioner with 25+ years across SaaS, ecommerce, retail, construction and regulated industries, with the last two focused on AI, marketing and technology.
How this fits our work together
| When | What to use |
|---|---|
| Before kickoff | Everyone takes the check-in. Leaders take Course 01, Parts 1–2. |
| During the engagement | Modules and Toolkit Vault entries that match each workshop topic. |
| After handover | Your customised vault, plus Course 02 for anyone new to the team. |
If we're already working together, everything here is included. Use it before a workshop, send a module to someone on your team, revisit something after an engagement, or use the tools whenever you need them.
Not a client? You can purchase access separately.