AI for Marketing & Content Creation
AI has made producing marketing content trivially cheap, which has made mediocre content worthless. The teams getting value from it are not the ones generating more posts; they are the ones using it to compress research, produce variants worth testing, and repurpose a single good piece across every channel, while keeping a human judgement layer that stops generic output going out under their brand. Two days building that workflow rather than collecting prompts.
Programme Agenda
Where AI Helps and Where It Hurts
The tasks where AI reliably outperforms a rushed human: variants, summarisation, repurposing, first drafts and research synthesis. The tasks where it reliably produces something forgettable, and how to tell which you are looking at.
Research and Ideation
Audience research synthesis, competitor content analysis, angle generation and keyword clustering. Getting past the first ten obvious ideas to the ones worth making.
Capturing Brand Voice
Building a reusable voice specification from your existing best work rather than describing it in adjectives. Testing whether output actually sounds like you, and correcting it when it drifts.
Copy at Scale
Ad variants, subject lines, product descriptions, landing page sections and social copy. Structured generation that produces genuinely different options instead of ten rewordings of the same sentence.
Images and Visual Assets
Generating and editing imagery, maintaining visual consistency across a campaign, and the honest limits: hands, text in images, and brand-specific products. Rights, licensing and what your platform's terms actually permit.
Video and Repurposing
Turning one long asset into short-form cutdowns, captions, subtitles and translations. Scripting for short form, and the editing workflow that makes weekly output sustainable.
Quality Control and Disclosure
The review layer that has to exist: fact checking, claim substantiation, and the compliance issues around testimonials and comparative claims. Where AI-generated content should be disclosed, and platform policies on it.
Building the Engine
Participants assemble a documented workflow for their own team: which tool at which step, what a human checks, and what goes into the reusable asset library. Then run a full campaign through it.
Learning Outcomes:
Judge which content tasks AI improves and which it degrades
Compress audience and competitor research into usable angles
Build a brand voice specification that produces consistent output
Generate genuinely varied copy options worth A/B testing
Produce visually consistent campaign imagery within licensing limits
Repurpose one asset into a full multi-channel set including short video
Apply a review layer covering facts, claims and disclosure
Document a repeatable content workflow for your own team
Duration: 2 Days (16 Hours)
Training Hours: 9:00 AM to 5:00 PM
Level: All levels
Training Mode: Physical, Online, or Hybrid
HRD Corp SBL-KHAS Claimable
Certificate of Completion included
Frequently Asked Questions
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