Role-Based Programme
RB1172

AI for Social Media Marketing

Smarter Content Creation, Audience Engagement & Campaign Performance

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Social Media Marketing across research, content creation, engagement, campaign planning, and performance analysis.
  • Explore practical AI applications for generating platform-specific ideas, captions, hooks, campaign concepts, and content calendars.
  • Apply structured prompting techniques to create audience-relevant, brand-consistent, and channel-appropriate social content.
  • Use AI to improve productivity across community engagement, social listening, content repurposing, campaign reviews, and reporting.
  • Recognise copyright, brand safety, privacy, misinformation, bias, and human-review requirements when using AI in social media marketing.

Tools covered

Generative AI AssistantsAI Search & ResearchAudience ResearchSocial Content IdeationCaption & Copy GenerationContent Calendar PlanningSocial Listening & Sentiment AnalysisCampaign AnalysisAI-Powered Visual & Communication Tools

Who should attend

  • Social Media Executives
  • Social Media Managers
  • Digital Marketing Executives
  • Digital Marketing Managers
  • Content Marketing Professionals
  • Community Managers
  • Brand Marketing Professionals
  • Marketing Communication Professionals
  • Campaign Managers
  • Content Creators
  • Digital Content Professionals
  • Performance Marketing Professionals
  • Influencer Marketing Professionals
  • Social Media Strategists
  • Marketing Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of marketing or social media platforms
  • Familiarity with social posts, campaigns, audiences, or digital content is helpful
  • Basic written communication and internet-research skills
  • No programming or technical AI knowledge required
  • No previous AI-tool experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to modern social media marketing
  • Exploring AI applications across research, content, community engagement, campaigns, and analytics
  • Understanding the difference between AI assistance, social automation, analytics, and marketer judgement
  • Recognising AI limitations, hallucinations, generic content, and reputational risks
Practical activities
  • Identifying high-value AI applications across a typical social-media workflow
  • Comparing a traditional social-content task with an AI-assisted approach

Scenarios

Campaign Brief to Social Media Content Plan

Campaign Objective → Audience → AI-Assisted Research → Content Pillars → Platform-Specific Ideas → Content Calendar → Campaign Plan

Participants use AI to transform a sample campaign brief into a structured social-media plan with platform-specific ideas, messaging themes, and publishing priorities.

Social Performance to Content Optimization

Social Data → AI-Assisted Analysis → Engagement Patterns → High / Low Performing Content → Audience Feedback → Improvement Ideas → Next Content Plan

Participants use AI to analyse sample social-media performance and audience feedback, identify recurring patterns, and prepare practical recommendations for future content and campaigns.

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