Role-Based Programme
RB1175
AI for Social Media Marketing
Advanced Content Strategy, Audience Intelligence & Social Growth
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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development
Programme Objectives
- Develop advanced capability to apply AI across social media strategy, audience research, content planning, community engagement, campaign development, and performance analysis.
- Use AI-assisted research to identify audience interests, emerging conversations, platform trends, competitor activity, sentiment patterns, and growth opportunities.
- Apply AI to create platform-specific content, campaign concepts, social copy, community responses, influencer strategies, and paid-social plans.
- Use AI-assisted analytics to improve engagement, reach, conversion, audience growth, campaign effectiveness, and content performance.
- Build responsible AI-enabled Social Media Marketing workflows with strong brand governance, privacy, copyright awareness, validation, and human oversight.
Tools covered
Generative AI AssistantsAI Search & ResearchAudience IntelligenceSocial Listening ConceptsContent IdeationSocial CopywritingCreative Brief DevelopmentSentiment AnalysisCommunity IntelligenceCampaign PlanningPaid Social AnalysisInfluencer ResearchSocial Media AnalyticsWorkflow AutomationAI Agents
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
- Performance Marketing Professionals
- Influencer Marketing Professionals
- Marketing Communications Professionals
- Creative Marketing Professionals
- Social Media Analysts
- Growth Marketing Professionals
- Marketing Leaders Responsible for Social Media Growth
Prerequisites & Participant Readiness
- Experience in social media marketing, digital marketing, content, community management, or brand communication
- Familiarity with major social platforms, campaign objectives, content calendars, and social-media metrics
- Basic awareness of Generative AI and common business applications
- Comfort working with audience, content, campaign, and performance information
- No programming knowledge required
TOC Modules
Concepts
- Understanding Generative AI, reasoning models, multimodal AI, automation, and AI agents
- Exploring AI applications across social strategy, content, engagement, campaigns, and analytics
- Distinguishing AI-assisted social media management from conventional scheduling and automation
- Understanding hallucinations, misinformation, copyright, brand safety, and human accountability
Practical activities
- Mapping AI opportunities across the Social Media Marketing lifecycle
- Identifying tasks suitable for augmentation, automation, or continued human ownership
- Creating an AI opportunity map for social-media teams
Scenarios
Brand Awareness Challenge to Integrated Social Campaign
Audience Research → Social Listening → Content Insight → Campaign Concept → Platform Strategy → Organic Content → Influencer Plan → Paid Social → KPIs
Participants use AI to develop an integrated social campaign from audience and conversation intelligence through content, creator collaboration, paid support, and measurement.
Declining Social Engagement to Growth Recovery Plan
Performance Data → Audience Behaviour → Content Analysis → Platform Trends → Community Feedback → Content Gaps → Optimisation → Growth Roadmap
Participants use AI to diagnose declining social-media engagement, identify audience and content gaps, improve the channel strategy, and create a measurable social growth and engagement roadmap.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
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- ChatGPT for Sales & Business Development: Advanced AI Workflows, Account Intelligence & Sales Automation
- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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