Role-Based Programme
RB1170
AI for Content Marketing & Copywriting
Content Strategy, SEO Writing & Conversion-Focused Messaging
IMAGE REQUIRED
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop practical AI capabilities for content strategy, copywriting, audience research, SEO content, campaign messaging, and editorial planning.
- Apply AI to research audiences, topics, search intent, competitors, content gaps, and emerging themes.
- Use AI to create and refine blogs, landing pages, emails, social content, thought leadership, campaign copy, and sales-support content.
- Improve content productivity through structured briefing, drafting, editing, repurposing, personalisation, and performance analysis.
- Apply responsible AI practices related to originality, copyright, factual accuracy, brand consistency, privacy, and human editorial review.
Tools covered
Generative AI AssistantsAI Search & ResearchAudience Insight AnalysisContent IdeationSEO Content SupportCopywriting AssistantsContent RepurposingBrand Voice AnalysisEditorial PlanningContent Performance AnalysisExecutive SummarisationPresentation Tools
Who should attend
- Content Marketing Managers
- Content Marketers
- Copywriters
- Content Writers
- Marketing Copywriters
- SEO Content Writers
- Content Strategists
- Digital Marketing Professionals
- Social Media Content Professionals
- Campaign Content Managers
- Brand Communication Professionals
- Corporate Communication Professionals
- Email Marketing Professionals
- Product Marketing Professionals
- Marketing Managers
Prerequisites & Participant Readiness
- Experience in content marketing, copywriting, digital marketing, communications, branding, or campaign management
- Familiarity with blogs, websites, email, social media, or other marketing content formats
- Basic familiarity with Generative AI tools is recommended
- Understanding of basic marketing and audience concepts
- No programming knowledge required
TOC Modules
Concepts
- Understanding Generative AI, reasoning models, multimodal AI, and content-generation capabilities
- Exploring AI applications across research, ideation, drafting, editing, repurposing, and analytics
- Understanding AI-assisted writing versus traditional content workflows
- Recognising hallucinations, generic writing, factual errors, and AI-content limitations
Practical activities
- Mapping the content lifecycle to practical AI applications
- Identifying high-value and low-value AI use cases
- Comparing traditional and AI-assisted content workflows
Scenarios
Audience Insight to Integrated Content Campaign
Audience Research → Search Intent → Topic Opportunities → Content Strategy → Long-Form Asset → Email & Social Repurposing → Landing Page Copy → Publishing Plan
Participants use AI to convert audience and search insights into an integrated content campaign spanning long-form, email, social media, and conversion-focused assets.
Underperforming Content to Optimisation Strategy
Content Performance → Audience Response → SEO Review → Messaging Analysis → Content Gaps → Rewrite & Repurpose → Channel Optimisation → Performance Plan
Participants use AI to analyse a simulated underperforming content portfolio, identify weaknesses in relevance, messaging, search alignment, and channel execution, and develop a structured optimisation plan.
Related programmes
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- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
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- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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Instructor-ledVirtualHybrid
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