AI Marketing and Content Creation

Understand what language models do well, where they fail, and how to set up a safe working routine.

• What chat assistants are good at and where they invent information
• Anatomy of a strong prompt: role, context, task, format, constraints
• Comparing ChatGPT, Claude, Gemini, and Copilot on the same task
• Free-tier limits and choosing a baseline tool
• What business information should never be pasted into an AI tool

Hands-on lab: Run one marketing task in two assistants, compare outputs side by side, and record strengths and errors in a comparison sheet.

Build an evidence-based picture of your audience and competitors using AI as a research aid, not a source of truth.

• Writing an audience brief and customer persona from real inputs
• Using Perplexity to gather sources and checking each link yourself
• Summarising customer reviews and survey comments for themes
• Competitor messaging analysis from public pages
• Spotting stereotypes and bias in AI-generated personas

Hands-on lab: Create an audience and positioning brief for your business, with every factual claim linked to a source you verified.

Turn goals into a structured plan of topics, formats, and channels that fits your real capacity.

• Content pillars, funnel stages, and campaign goals
• Generating and ranking topic ideas against your audience brief
• Building a four-week calendar in Google Sheets
• Repurposing one core idea across blog, social, email, and video script
• Setting simple measures such as clicks, replies, and saves

Hands-on lab: Produce a four-week content calendar for three channels and justify each pillar with one line from your audience brief.

Write drafts faster while keeping a consistent, human voice and removing generic or inaccurate text.

• Creating a brand voice guide and using it as reusable context
• Drafting posts, emails, and landing page copy with iterative prompts
• Editing for specificity, tone, and plain language
• Fact-check checklist for names, numbers, quotes, and claims
• Avoiding copied or near-duplicate text and checking originality
• Keeping a reusable prompt library in Notion or Google Docs

Hands-on lab: Draft a three-email sequence, then mark up each draft with edits and a completed fact-check checklist.

Create consistent visual assets and short-form scripts that match your brand and respect usage rights.

• Designing templates in Canva using brand colours and fonts
• Writing image briefs and alt text for accessibility
• Short video and reel scripts with scene-by-scene outlines
• Image rights, licensing, and realistic-image disclosure
• Quality checks for AI-generated visuals: text errors, distortions, misleading details

Hands-on lab: Build a set of five matching social graphics and one short video script for a single campaign idea.

Finish with a review process, disclosure approach, and a simple measurement routine you can repeat every month.

• Human review stages and who signs off before publishing
• Disclosure choices for AI-assisted content
• Privacy: customer data, testimonials, and consent
• Reading basic analytics and deciding what to change next
• Documenting your end-to-end content workflow as a one-page checklist

Hands-on lab: Present your capstone package for peer feedback and complete a publishing readiness checklist.