AI for Marketing
Use AI to support research, creative development and campaign execution while preserving brand quality and evidence-based decisions.
15 lessons. A practical outcome.
Open a lesson to see what your team will learn.
01AI Across the Marketing Workflow
Map research, positioning, content, distribution and measurement. Choose tasks that benefit from assistance and define quality standards before generating material.
02Customer Research & Evidence
Use approved research and verified public sources to organise needs and themes. Distinguish actual customer evidence from generated personas and assumptions.
03Market & Competitor Analysis
Compare public offerings and messaging with dated source links. Flag gaps, changing information and claims that need manual confirmation.
04Positioning & Value Proposition
Turn validated customer needs into clear positioning and benefits. Challenge vague language and avoid claiming differentiation that has not been demonstrated.
05Build a Brand Voice Guide
Define audience, tone, vocabulary and examples from approved brand material. Test whether AI-generated drafts remain recognisable and appropriate.
06Content Strategy & Editorial Planning
Build a topic plan around audience questions and business goals. Balance useful content, proof and calls to action rather than producing volume alone.
07Writing & Editing Marketing Content
Draft landing pages, articles, emails and posts. Review accuracy, originality, readability and whether each piece helps the audience take a meaningful next step.
08Repurposing Content Across Channels
Adapt one approved source into posts, newsletters and short scripts. Preserve the meaning and adjust length, context and tone for each channel.
09Visual Concepts & Creative Briefs
Generate concepts, storyboards and briefs for designers. Review brand consistency, permissions and misleading visual implications before production.
10SEO & Search-Focused Content
Organise topics, search questions and page structures using verified research. Avoid fabricated keyword metrics and review technical recommendations before implementation.
11Campaign Planning & Audience Journeys
Create a campaign brief with audience, offer, channel, message and next step. Define assumptions and review the suitability of targeting and data inputs.
12Experiment Design & Testing
Develop testable hypotheses, variations and success measures. Change a clear variable and avoid treating small or uncontrolled results as proof.
13Marketing Analysis & Reporting
Explain campaign data using checked figures and definitions. Separate correlation from causal claims and record uncertainty in recommendations.
14Build a Repeatable Marketing Workflow
Create a process from research to brief, draft, approval, publication and review. Assign human ownership for factual claims, brand quality and live publishing.
15Final Challenge: Launch-Ready Campaign Package
Build a campaign for a fictional or approved offer: positioning, landing-page copy, three posts, an email and an experiment plan. Submit it for review before any publication.
Leave with something
you can use.
- Campaign brief
- brand voice guide
- content package
- experiment and measurement plan
What the review looks for
The final challenge brings the course together through practical work and review.
A path built around progress.
- 01
Lesson
Understand the concept.
- 02
Exercise
Practise with guidance.
- 03
Task
Apply it yourself.
- 04
Review
Reflect and improve.
Practical skills.
A certificate to show it.
Complete the assigned learning, submit the practical challenge and meet the agreed review requirements. Recognise that achievement with a certificate of completion.
Your programme brief confirms the requirements, reviewer and certificate delivery before you begin.
About certificatesCERTIFICATE OF COMPLETION
Learning worth
recognising.
AI Literacy for Everyone
Learner name · Completion date · Course title
AI Tutor