Role-Based Programme
RB1174

AI for Social Media Marketing

Content Strategy, Audience Engagement & Campaign Performance

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for social media strategy, content creation, audience engagement, campaign planning, and performance analysis.
  • Apply AI to research audiences, competitors, trends, conversations, content themes, and platform-specific opportunities.
  • Use AI to improve content ideation, caption writing, campaign messaging, community engagement, and multi-platform adaptation.
  • Analyse social media performance, audience response, sentiment, and content effectiveness to identify optimisation opportunities.
  • Apply responsible AI practices related to privacy, copyright, brand safety, platform policies, factual accuracy, and human review.

Tools covered

Generative AI AssistantsAI Search & ResearchAudience Insight AnalysisSocial Listening ConceptsContent IdeationCopywriting SupportVisual Content PlanningCampaign PlanningSentiment Analysis ConceptsSocial Media AnalyticsContent RepurposingPresentation Tools

Who should attend

  • Social Media Managers
  • Social Media Executives
  • Social Media Strategists
  • Digital Marketing Professionals
  • Content Marketing Professionals
  • Community Managers
  • Brand Marketing Professionals
  • Campaign Managers
  • Digital Communication Professionals
  • Influencer Marketing Professionals
  • Marketing Communication Professionals
  • Performance Marketing Professionals
  • Content Creators
  • Marketing Managers
  • Brand & Communications Teams

Prerequisites & Participant Readiness

  • Experience in social media, digital marketing, content marketing, branding, or campaign management
  • Familiarity with major social platforms, audience engagement, and social media metrics
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret social media performance and audience data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, and AI assistants
  • Exploring AI applications across strategy, content, engagement, campaigns, and analytics
  • Understanding how AI differs from social media management, scheduling, and analytics tools
  • Recognising hallucinations, repetitive content, bias, and AI limitations
Practical activities
  • Mapping the social media lifecycle to practical AI applications
  • Identifying high-value versus low-value AI use cases
  • Comparing traditional and AI-assisted social media workflows

Scenarios

Social Campaign from Audience Insight to Launch

Audience Research → Social Listening → Content Pillars → Platform Strategy → Creative Concepts → Copy Development → Campaign Calendar → Launch Plan

Participants use AI to analyse a target audience, identify relevant themes, create platform-specific content, and develop an integrated social media campaign plan.

Low Engagement to Social Performance Optimisation

Performance Data → Content Analysis → Audience Response → Sentiment Themes → Platform Comparison → Content Gaps → Optimisation Actions → Revised Social Strategy

Participants use AI to analyse a simulated underperforming social media presence, identify engagement and content gaps, and develop a structured optimisation plan across platforms, formats, messaging, and audience engagement.

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