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AI in marketing course, AI for marketing course
AI marketing course
An AI marketing course can mean a public open course run by a professional body, an online self-paced programme, or in-company training built around one team's work. Each suits a different need, and the best choice depends on whether you are developing one person or changing how a whole team works.
This page compares the formats fairly, including well-regarded UK options such as the Chartered Institute of Marketing and the Data & Marketing Association, and explains where predeploy's in-company training fits.
Leave knowing which course format fits your goal, what to ask any provider, and when in-company training on your own workflows is worth it.
Two-day, intermediate-level virtual course covering data analysis, workflow design, campaign management and generative AI across channels, with a focus on responsible use. CIM: The CIM AI in Marketing Programme ↗
One-day live online course with 7 hours CPD, IDM-accredited, covering AI basics, strategy, content, SEO, visual content and responsible AI. DMA: AI for Marketing Course ↗
New to the topic? Read the background on artificial intelligence.
AI in marketing course, AI for marketing course
what kinds of AI marketing course are available?
Public open courses, self-paced online learning and in-company training are the three main formats.
Public open courses bring marketers from different organisations together, usually live online or in a classroom, around a fixed syllabus. They are good for individual development and broad awareness.
Self-paced online learning, including free material from AI vendors, suits people who want to explore at their own speed but rarely changes team practice on its own.
In-company training is delivered to one team, on that team's tools, briefs and approval process. It costs more effort to set up but goes straight to shared habits.
Choosing an AI marketing course therefore starts with the outcome: one person's skills, a team's daily workflow, or both.
Open courses for individual development.
Self-paced learning for exploration.
In-company training for team practice.
AI in marketing course, AI for marketing course
what do professional bodies offer?
UK bodies such as CIM and the DMA run structured AI in marketing courses for individual marketers.
The Chartered Institute of Marketing runs the CIM AI in Marketing Programme, listed as a two-day, intermediate-level virtual course covering data analysis, workflow design, campaign management and generative AI across channels, with a focus on responsible use.
The Data & Marketing Association runs an AI for marketing course delivered as a one-day live online session, listed with seven hours of CPD and IDM accreditation, covering strategy, content, SEO, visual content and responsible AI.
These are credible routes for an individual who wants structured learning, a recognised body behind it and the chance to learn alongside marketers from other organisations.
Check each provider's current page for dates, prices and syllabus, as these change.
AI in marketing course, AI for marketing course
when is in-company training the better AI marketing course?
When the goal is a team that works differently on Monday, using its own tools, data rules and approval route.
An open course teaches general methods; people then have to translate them into their own organisation's tools, brand and policies on their own. Often that translation is where adoption stalls.
In-company training starts from the team's real tasks: this month's campaign brief, the actual email platform, the approved claims list and the person who signs off copy.
It also lets the team agree shared prompts, source packs and review steps together, which an individual returning from an open course cannot do alone.
That is the model behind our AI marketing training for teams: practical sessions on your own workflows, followed by support while the habits bed in.
| Check | What to establish |
|---|---|
| 1 | Train on real briefs and tools. |
| 2 | Agree shared prompts and review steps. |
| 3 | Support adoption after the session. |
AI in marketing course, AI for marketing course
what should any AI in marketing course cover?
Practical use cases, data protection and PECR, advertising rules, and how to review AI output before it is used.
Use cases should cover content, campaigns, analytics and email, with hands-on practice rather than demonstrations alone. Our guide to AI for marketing sets out those areas.
Data protection should be covered in UK terms, including the ICO's guidance on AI and data protection and the ICO's PECR electronic mail marketing rules.
Advertising rules matter too: the ASA states that the CAP Code applies in the same way whether or not AI is used.
Finally, a good AI marketing course teaches a review habit: checking claims, tone and sources before anything is published.
AI in marketing course, AI for marketing course
how do we choose between formats?
Match the format to who needs to change: individuals, a whole team, or both in sequence.
If one marketer needs a grounding and a recognised certificate, an open course from a professional body is a sensible choice.
If a team needs a consistent way of working, in-company training is usually more direct, because it settles tools, data rules and approvals together.
Some organisations combine the two: a lead attends an open course for breadth, then the team runs in-company sessions to apply it. Our page on AI training for teams covers the wider team format.
Whatever you choose, ask the provider what participants will produce during the course, not just what they will hear.
Open course for individual grounding.
In-company training for team consistency.
Combine where both are needed.
AI in marketing course, AI for marketing course
what does predeploy's in-company AI marketing course look like?
Practical sessions on your team's real marketing work, with agreed tools, data rules and review steps, and follow-up support.
We start by agreeing two or three recurring marketing tasks with the team lead and collecting the material those tasks use.
Sessions then work through those tasks with the tools the team is approved to use, covering prompting, source grounding, review and the UK rules that apply.
The output is a shared set of prompts, source packs and a written review step, which can sit alongside your AI policy template.
We do not offer accreditation or certificates for this training. To scope sessions for your team, contact us with the tasks you want to improve.
Built around your recurring tasks.
Uses your approved tools.
Leaves shared prompts and a review step.
Make the decision concrete
What does the current task cost in time?
Choose a task connected to ai marketing course and enter its current workload. This gives you a baseline to discuss before buying training or commissioning a build.
A baseline is useful even if you decide to keep the process manual. Measure the work that matters, then compare quality and review effort as well as time.
Assess the workflow before changing it, or plan business AI training if the gap is how people use existing tools.
Your current workload
Estimate how much time the existing task takes before discussing ai marketing course.
16 hours per week
People × minutes × weekly tasks ÷ 60. A workload baseline from your inputs, not a prediction of AI time savings. Include review and support time when comparing a proposed workflow.
A useful AI investment leaves your team able to do the work and judge the result.
Continue with the right question
Where should you go next?
Use the overview for context, then follow the pages that match your delivery decision.
See our ai training service or read the ai for marketing overview.
FAQ
Questions, answered
Evidence and further reading
Which sources support the guidance?
Source links support the specific background described here. The practical checklists and illustrative examples are predeploy’s guidance.
Two-day, intermediate-level virtual course covering data analysis, workflow design, campaign management and generative AI across channels, with a focus on responsible use. CIM: The CIM AI in Marketing Programme ↗
One-day live online course with 7 hours CPD, IDM-accredited, covering AI basics, strategy, content, SEO, visual content and responsible AI. DMA: AI for Marketing Course ↗
ICO guidance covers AI accountability, transparency and fairness; the guidance is currently under review. ICO: AI and data protection guidance ↗
Consent is generally needed for unsolicited marketing email to individuals (including sole traders); the products and services soft opt-in has set conditions; corporate subscribers can be sent unsolicited marketing without consent; identity and opt-out apply to all messages. ICO: How do we comply with the PECR electronic mail marketing rules? ↗
The ASA (29 May 2025) says the CAP and BCAP Codes apply in the same way whether or not AI is used, there is no general UK legal requirement to disclose AI in ads, and disclosure generally cannot cure a misleading ad. ASA: Disclosure of AI in advertising ↗
Background reading on the broader field of artificial intelligence. Wikipedia: artificial intelligence ↗
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