Campaigns, Content and Conversions Powered by AI
Marketing professionals — brand managers, digital marketers, campaign managers, content marketers, and marketing directors — who want to use AI across the full marketing workflow, from strategy and research through content, campaigns, social media, and analytics. You might work in-house, at an agency, or solo. No technical background required, and no need to have taken AI+ Everyone (T1-01) first.
Map your marketing tasks to what AI can and cannot do across the full campaign lifecycle, so you point AI where it pays off and keep judgment where it belongs.
Use the PRISM prompting framework to turn a vague request into a real brief that produces brand-specific, on-brief outputs faster.
Apply AI systematically across market research, content creation, campaign planning, social media, and analytics reporting.
Evaluate AI output with the TRUST framework before it ships to stakeholders, gets published, or informs a decision.
Apply the Marketing AI Safety Protocol to protect brand assets, customer data, and advertising compliance before any AI interaction with sensitive marketing material.
Build a 30-day adoption plan that embeds AI into your weekly marketing workflow, starting with three quick wins.
Module by module, in the order they are assigned.
These foundations explain where AI already fits across marketing and why systematic use matters more than tool collecting. You finish with a practical task map for deciding what to automate, augment, protect, verify, and keep firmly under human judgment.
Prompting AI for marketing centres on a better brief: PRISM supplies context, the Marketing Prompt Toolkit prevents blank-box starts, and TRUST keeps fluent drafts from shipping unchecked. You leave able to brief campaign deliverables, inject brand voice, evaluate risk, and refine output until it sounds usable and yours.
Research work is where AI gives marketers fast leverage because competitor scans, feedback piles, trend inputs, and persona drafts are text-heavy and time-poor. You learn to turn raw material into structured insight, then verify every claim before it shapes strategy.
Content demand has outgrown team capacity, so this section reframes AI as a way to raise quality without diluting brand trust. You build a repeatable content workflow that uses AI for scaffolding, variation, and repurposing while preserving insight, voice, and quality judgment.
Campaign back-half work spans execution, social distribution, and performance analysis, where marketers lose time to coordination, versioning, caption volume, and reporting mechanics. You learn to point AI at the grunt work while keeping concept judgment, brand voice, community presence, and interpretation human.
Marketing AI safety protects the sensitive inputs and public outputs marketers handle every day, from customer data and launch plans to claims, copy and campaign analysis. You finish with a repeatable safety protocol, a data classification habit and a personalised 30-day plan you can start this week.
The course closes with a timed final exam with a pass mark and a limited number of attempts. A pass issues a PDF certificate with its own serial, in the name of the Straits Institute for Applied AI. Cohort progress, at-risk learners and a CSV export are in the admin console throughout.
No. This course is written for marketing professionals, not engineers. You work in plain language throughout, using frameworks like PRISM and TRUST that need no coding, tools setup, or technical knowledge.
No. T1-01 introduces the core frameworks — PRISM, TRUST, the AI Safety Checklist, and the AI Opportunity Matrix — in their foundational form, but everything you need to apply them in a marketing context is included here.
No. AI is a tool to help you, not replace you. It accelerates research, drafting, and reporting, but strategy, brand judgment, and the final quality call stay with you — you are the boss, not a content vending machine operator.
Only with the right guardrails. Module 6 teaches the Marketing AI Safety Protocol, which shows you how to classify marketing data by sensitivity and protect brand assets, customer data, advertising compliance, intellectual property, and competitive exposure before any AI interaction.
Six 60-minute modules — six hours of focused learning — covering AI foundations, prompting, market research, content strategy, campaigns and analytics, and marketing AI safety plus your 30-day plan.
None in particular. The course teaches frameworks and workflows you can apply with whatever AI assistant you use, so the skills transfer as tools change. Start simple, and don't be afraid to experiment.
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Course libraries are assigned per user, team or department, and the reporting comes back to whoever has to answer for the programme. Tell us who needs it and we will show you the console.
