Role-Based Programme
RB1173

AI for Social Media Marketing

Smarter Content, Audience Engagement & Campaign Performance

IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Social Media Marketing across audience research, content planning, copywriting, engagement, and performance analysis.
  • Apply AI to generate platform-relevant content ideas, campaign themes, captions, hooks, and calls-to-action.
  • Use AI to improve content calendars, community engagement, social listening, campaign optimisation, and reporting.
  • Develop practical skills for audience segmentation, content adaptation, sentiment analysis, and performance-driven social strategy.
  • Understand responsible AI use, copyright, privacy, brand consistency, factual accuracy, and human review in public-facing social communication.

Tools covered

Generative AI AssistantsAI Search & ResearchAudience AnalysisContent IdeationSocial CopywritingContent Calendar PlanningSocial ListeningSentiment AnalysisCampaign OptimisationPerformance Reporting

Who should attend

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

Prerequisites & Participant Readiness

  • Basic understanding of marketing or social media communication
  • Familiarity with social platforms, content posting, campaigns, or audience engagement is helpful
  • Basic written communication and digital-tool skills
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to social media workflows
  • Understanding how AI can support research, ideation, content, engagement, and reporting
  • Distinguishing AI assistance from scheduling, listening, analytics, and advertising platforms
  • Understanding AI limitations, hallucinations, bias, and brand-reputation risks
Practical activities
  • Identifying recurring Social Media activities suitable for AI assistance
  • Comparing traditional and AI-assisted social content workflows
  • Mapping AI opportunities across the social media lifecycle

Scenarios

Campaign Objective to Social Media Content Plan

Campaign Objective → Audience Insight → Content Pillars → Platform Strategy → Post Ideas → Captions & CTAs → Content Calendar → Launch

Participants use AI to transform a sample marketing objective into a structured social media campaign with audience-specific content, platform adaptations, and a practical publishing calendar.

Social Performance to Optimisation Strategy

Social Data → Content Comparison → Engagement Patterns → Audience Response → Performance Gaps → Optimisation Hypotheses → Revised Content → Management Summary

Participants use AI to analyse sample social media performance, identify content and engagement patterns, and prepare a structured optimisation plan for the next campaign cycle.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.