Role-Based Programme
RB1164

AI for Digital Marketing

Smarter Campaigns, Content Creation & Performance Optimization

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

Programme Objectives

  • Understand how AI can support Digital Marketing across audience research, content creation, campaign planning, optimisation, and reporting.
  • Explore practical AI applications for generating campaign ideas, creating channel-specific content, researching trends, and improving marketing productivity.
  • Apply structured prompting techniques to develop audience insights, content briefs, campaign messages, and digital-marketing assets.
  • Use AI to improve productivity across SEO, social media, email marketing, paid campaigns, content planning, and performance reviews.
  • Recognise brand consistency, copyright, privacy, data accuracy, bias, and human-review requirements when using AI in digital marketing.

Tools covered

Generative AI AssistantsAI Search & ResearchAudience ResearchContent IdeationSEO SupportSocial Media ContentCampaign PlanningPerformance AnalysisAI-Powered Presentation & Communication Tools

Who should attend

  • Digital Marketing Executives
  • Digital Marketing Managers
  • Performance Marketing Professionals
  • Social Media Marketing Professionals
  • Content Marketing Professionals
  • SEO Professionals
  • SEM & Paid Media Professionals
  • Email Marketing Professionals
  • Growth Marketing Professionals
  • Campaign Managers
  • Marketing Executives
  • Brand Marketing Professionals
  • Marketing Communication Professionals
  • E-Commerce Marketing Professionals
  • Digital Marketing Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of marketing or digital channels
  • Familiarity with websites, social media, email, search, or digital campaigns is helpful
  • Basic 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 digital marketing
  • Exploring AI applications across content, search, social media, email, advertising, and analytics
  • Understanding the difference between AI assistance, marketing automation, analytics, and marketer judgement
  • Recognising AI limitations, hallucinations, generic content, and inaccurate marketing claims
Practical activities
  • Identifying high-value AI applications across a typical digital-marketing workflow
  • Comparing a traditional marketing activity with an AI-assisted approach

Scenarios

Campaign Brief to Multi-Channel Digital Campaign

Campaign Objective → Audience → AI-Assisted Research → Content Themes → Channel Messages → CTA Variations → Campaign Plan

Participants use AI to transform a sample campaign brief into a structured multi-channel digital-marketing plan with audience-focused messaging and content ideas.

Campaign Performance to Optimization Actions

Campaign Data → AI-Assisted Analysis → Trends & Gaps → Content Performance → Test Ideas → Optimization Actions → Management Summary

Participants use AI to analyse sample digital-campaign results, identify areas requiring attention, generate test ideas, and prepare a concise optimisation summary for marketing review.

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