Overview

Marketing is evolving rapidly as customer behaviour, digital channels, and data volumes increase. Artificial Intelligence (AI) is transforming how marketing teams understand customers, create content, optimise campaigns, and measure performance. When used effectively, AI enables marketers to work faster, personalise at scale, and make data-informed decisions—without losing creativity or brand authenticity.

Advances in Generative AI and Large Language Models (LLMs) allow marketers to generate content ideas, draft copy, analyse customer feedback, optimise messaging, and support campaign planning. At the same time, AI adoption raises important questions about originality, ethics, bias, and brand trust.

This course provides a practical, marketing-focused introduction to AI. Participants will learn AI fundamentals, explore how different AI tools support marketing workflows, and gain hands-on experience applying AI to real marketing tasks. The emphasis is on strategic value, creativity, responsible use, and immediate application, without requiring technical or programming skills.

Skills Covered

By the end of this course, participants will be able to:

  • Understand core AI concepts relevant to marketing
  • Distinguish between AI, Machine Learning, LLMs, and Generative AI
  • Evaluate and select AI tools suitable for marketing workflows
  • Use AI to support content creation, campaign planning, and optimisation
  • Apply AI for customer insights, segmentation, and messaging
  • Improve marketing efficiency while maintaining brand integrity
  • Use AI responsibly within ethical, legal, and organisational boundaries

Prerequisites

There are no prerequisites required to attend this course.

Target Audience

This course is designed for professionals involved in marketing and communications, including:

  • Marketing executives and managers
  • Digital and social media marketers
  • Brand and communications teams
  • Content creators and copywriters
  • CRM, growth, and performance marketers
  • Entrepreneurs and marketing consultants

No prior AI or technical background is required.

Course Curriculum

Module 1: Understanding AI for Marketing

  • What Artificial Intelligence is and is not
  • Relationship between:
    • Artificial Intelligence
    • Machine Learning
    • Large Language Models (LLMs)
    • Generative AI
  • How AI supports marketing:
    • content ideation and copywriting
    • customer analysis and sentiment detection
    • campaign optimisation and personalisation
    • performance analysis and reporting
  • Strengths and limitations of AI in marketing

Module 2: AI Tools Landscape for Marketers

  • Overview of AI tools for marketing:
    • ChatGPT, Gemini, Copilot, Claude
    • Perplexity, Grok, Manus, DeepSeek, Qwen, NotebookLM
  • Tool comparison for:
    • creative content generation
    • research and trend analysis
    • structured planning and reporting
  • Selecting the right AI tool for:
    • content creation
    • campaign planning
    • customer communication
  • Prompt engineering fundamentals for marketing use cases

Hands-On Activities

  • Writing prompts for marketing personas and messaging
  • Generating content ideas using AI
  • Comparing outputs across different AI tools

Module 3: AI for Content Creation and Brand Messaging

  • Using AI to:
    • draft social media posts and captions
    • write blogs, landing pages, and email campaigns
    • adapt content tone to brand voice
  • Personalisation at scale with AI
  • Maintaining creativity and originality

Hands-On Activities

  • Creating a content calendar with AI support
  • Refining AI-generated copy for brand alignment

Module 4: Responsible AI, Ethics, and Brand Trust

  • Risks of AI in marketing:
    • generic or misleading content
    • bias and stereotyping
    • over-automation and loss of authenticity
  • Copyright, originality, and disclosure considerations
  • Human-in-the-loop content review
  • Best practices for responsible AI use in marketing

Module 5: AI for Customer Insights and Market Research

  • AI-assisted market research and trend analysis
  • Analysing customer feedback, reviews, and surveys
  • Creating customer personas and segmentation
  • Using AI for competitive analysis

Hands-On Activities

  • Generating customer insights from sample data
  • Building personas using AI

Module 6: AI for Campaign Planning and Optimisation

  • Using AI to:
    • design marketing campaigns
    • optimise messaging and timing
    • support A/B testing concepts
  • AI-assisted performance review and insights
  • Aligning AI outputs with marketing KPIs

Hands-On Activities

  • Designing an AI-assisted marketing campaign
  • Generating performance insight summaries

Module 7: AI-Enabled Marketing Workflow

  • Designing AI-supported marketing workflows:
    • research → content → launch → analysis
  • Integrating AI into daily marketing operations
  • Improving speed, consistency, and effectiveness
  • Measuring ROI and productivity gains

Exercise

  • Designing an AI-assisted marketing workflow

Module 8: AI Strategy for Marketing Teams and Leaders

  • Identifying high-impact AI use cases in marketing
  • Positioning AI as a creative and analytical assistant
  • Establishing AI usage guidelines for marketing teams
  • Preparing marketers for AI-driven marketing environments
  • Future trends in AI-powered marketing

Workshop

  • Drafting a high-level AI adoption roadmap for a marketing team

Dates & Locations

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Exam & Certification

This course is not associated with any Certification.

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