Role-Based Programme
RB1166

AI for Digital Marketing

Content Intelligence, Campaign Optimisation & Performance Growth

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

Programme Objectives

  • Develop practical AI capabilities across digital strategy, content, SEO, social media, paid campaigns, email marketing, and performance analysis.
  • Apply AI to research audiences, competitors, search intent, content opportunities, campaign themes, and digital customer journeys.
  • Use AI to improve campaign planning, channel-specific messaging, creative ideation, personalisation, and marketing productivity.
  • Analyse digital marketing data to identify performance gaps, conversion opportunities, optimisation priorities, and actionable insights.
  • Apply responsible AI practices related to privacy, copyright, brand safety, platform policies, factual accuracy, bias, and human review.

Tools covered

Generative AI AssistantsAI Search & ResearchAudience IntelligenceContent IdeationSEO SupportSocial Media AnalysisCampaign PlanningPaid Media AnalysisEmail Marketing SupportMarketing AnalyticsConversion AnalysisPresentation Tools

Who should attend

  • Digital Marketing Managers
  • Digital Marketing Executives
  • Performance Marketing Professionals
  • Growth Marketing Professionals
  • SEO Professionals
  • SEM & Paid Media Professionals
  • Social Media Managers
  • Content Marketing Professionals
  • Email Marketing Professionals
  • Marketing Campaign Managers
  • Demand Generation Professionals
  • Marketing Analysts
  • Brand Marketing Professionals
  • E-Commerce Marketing Professionals
  • Marketing Managers

Prerequisites & Participant Readiness

  • Experience in digital marketing, campaigns, content, social media, SEO, paid media, or marketing analytics
  • Familiarity with digital channels, customer journeys, campaign metrics, and marketing performance
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret digital marketing data and campaign reports
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, and AI assistants
  • Exploring AI applications across content, SEO, social media, email, paid media, and analytics
  • Understanding how AI differs from marketing automation, analytics, and traditional digital tools
  • Recognising hallucinations, outdated information, biased outputs, and AI limitations
Practical activities
  • Mapping digital marketing activities to practical AI applications
  • Identifying high-value versus low-value AI use cases
  • Comparing traditional and AI-assisted digital marketing workflows

Scenarios

Digital Campaign from Audience Insight to Launch

Audience Research → Customer Journey → Search Intent → Content Strategy → Channel Plan → Campaign Messaging → Landing Page → Launch Plan

Participants use AI to research a target audience, map the digital customer journey, develop channel-specific content and messaging, and build an integrated digital campaign plan.

Underperforming Campaign to Performance Optimisation

Campaign Data → Funnel Analysis → Channel Performance → Audience Response → Content Review → Conversion Gaps → Optimisation Actions → Performance Plan

Participants use AI to analyse a simulated underperforming digital campaign, identify performance and conversion issues, and develop a structured optimisation plan across channels, content, audiences, and customer experience.

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