The AI in Marketing (AIM) course is designed to equip marketing professionals, business leaders, entrepreneurs, and digital specialists with the practical knowledge and skills required to apply Artificial Intelligence across modern marketing activities.
Artificial Intelligence is transforming how organisations understand customers, create content, manage campaigns, optimise advertising, conduct market research, and deliver personalised experiences. This course provides a practical approach to using AI technologies to make smarter marketing decisions, improve efficiency, reduce repetitive work, and achieve better marketing outcomes.
Participants explore the application of AI across the complete marketing landscape, including customer segmentation, personalisation, predictive analytics, content creation, email marketing, social media, market research, PPC advertising, public relations, SEO, influencer marketing, branding, and marketing automation.
The course also develops practical prompting skills specifically for marketers, helping participants communicate effectively with generative AI systems and use AI tools to support research, ideation, content development, campaign planning, optimisation, and decision-making.
Through practical activities and marketing-focused applications, participants learn how to integrate AI into existing marketing workflows while maintaining human creativity, strategic thinking, brand consistency, and appropriate oversight.
The course concludes with a capstone project that brings together the knowledge and skills developed throughout the programme, enabling participants to develop an AI-powered marketing strategy and solution based on practical business requirements.
Who Should Attend?
This course is suitable for:
- Marketing Professionals
- Digital Marketers
- Marketing Managers
- Campaign Managers
- Brand Managers
- Content Marketing Professionals
- Social Media Managers
- SEO and PPC Specialists
- CRM Professionals
- Marketing and Data Analysts
- Growth Marketing Teams
- Public Relations Professionals
- Marketing Consultants
- Business Owners and Entrepreneurs
- Marketing Directors and Business Leaders
- Professionals seeking practical AI marketing skills
Course Objectives
Upon completion of this course, participants will be able to:
- Understand the role of Artificial Intelligence in modern marketing.
- Identify opportunities to integrate AI into marketing strategies and workflows.
- Apply effective prompting techniques for marketing activities.
- Use AI to support marketing research, planning, and decision-making.
- Create and optimise marketing content using generative AI.
- Apply AI to email marketing and campaign personalisation.
- Use AI to support social media planning, content creation, and analysis.
- Apply AI techniques to customer segmentation and personalisation.
- Use predictive analytics to better understand customer behaviour.
- Apply AI to PPC advertising and campaign optimisation.
- Use AI to support search engine optimisation activities.
- Understand AI applications within public relations and brand communications.
- Develop stronger marketing stories and messaging with AI assistance.
- Identify and evaluate influencers using AI-supported approaches.
- Understand the creation and application of AI-generated influencers.
- Apply AI to packaging and visual brand development.
- Use AI tools to support professional brand design.
- Integrate AI across multiple marketing channels.
- Develop an AI-powered marketing strategy based on business objectives.
- Improve marketing efficiency, customer engagement, and campaign performance through responsible AI adoption.
Course Content
Module 1: Introduction to AI in Marketing
- Understanding Artificial Intelligence
- AI and the evolution of marketing
- Applications of AI in modern marketing
- Generative AI and marketing
- AI-powered marketing tools
- Benefits and limitations of AI
- Identifying AI opportunities within marketing workflows
- Combining human creativity with Artificial Intelligence
Module 2: Prompting for Marketers
- Introduction to AI prompting
- Understanding how prompts influence AI outputs
- Developing effective marketing prompts
- Prompt structures and techniques
- Creating prompts for different marketing objectives
- Using AI for brainstorming and ideation
- Prompting for marketing research
- Prompting for content and campaign development
- Refining and improving AI-generated results
Module 3: Email Marketing
- AI applications in email marketing
- Developing email content using AI
- Subject line generation and optimisation
- Audience segmentation
- Personalised email messaging
- AI-assisted campaign planning
- Automated email workflows
- A/B testing and optimisation
- Improving engagement and conversion
Module 4: Affiliate Marketing
- Understanding AI applications in affiliate marketing
- Affiliate opportunity research
- Identifying suitable audiences
- AI-assisted affiliate content creation
- Campaign planning
- Performance analysis and optimisation
- Improving affiliate marketing efficiency
Module 5: Social Media Marketing
- AI-powered social media strategies
- Social media content creation
- Content ideation and planning
- AI-assisted scheduling
- Audience analysis
- Social listening and sentiment analysis
- Engagement optimisation
- Campaign performance analysis
- Using AI across major social platforms
Module 6: Market Research
- AI-assisted market research
- Customer and audience research
- Competitor analysis
- Market trend identification
- Customer segmentation
- Analysing customer feedback
- Sentiment analysis
- Using AI to generate marketing insights
- Supporting data-driven marketing decisions
Module 7: PPC Marketing
- AI applications in paid advertising
- PPC campaign planning
- Audience targeting
- Keyword and advertising research
- AI-assisted advertising copy
- Campaign optimisation
- Performance analysis
- Testing advertising variations
- Improving return on advertising investment
Module 8: Public Relations
- AI applications in public relations
- Media and audience research
- AI-assisted press release development
- Developing communication materials
- Monitoring brand and media sentiment
- Supporting media outreach
- Crisis communication support
- Maintaining appropriate human review and oversight
Module 9: Storytelling in Marketing
- Importance of storytelling in marketing
- Developing compelling brand narratives
- Understanding audience needs
- AI-assisted storytelling
- Developing campaign concepts
- Creating emotionally relevant marketing content
- Maintaining brand voice
- Adapting stories across marketing channels
Module 10: Search Engine Optimisation
- AI applications in SEO
- Keyword and search-intent research
- AI-assisted SEO content development
- Content planning and optimisation
- Creating titles and meta descriptions
- Competitor content analysis
- Improving website content
- Using AI to support organic search strategies
- Monitoring and improving SEO performance
Module 11: Influencer Marketing
- Understanding influencer marketing
- Using AI to identify potential influencers
- Audience and influencer analysis
- Evaluating influencer suitability
- Campaign planning
- Content collaboration
- Measuring influencer campaign performance
- Optimising influencer marketing strategies
Module 12: How to Make an AI Influencer
- Understanding AI-generated influencers
- Developing an AI influencer concept
- Creating an influencer identity and persona
- AI-generated visual content
- Developing consistent messaging
- Content planning
- Building an AI influencer brand
- Ethical and transparency considerations
Module 13: AI in Packaging Design
- Role of AI in packaging development
- Generating packaging concepts
- Visual ideation with AI
- Audience-focused packaging
- Developing design variations
- Brand consistency
- Evaluating and refining AI-generated concepts
- Combining AI with human design decisions
Module 14: Use AI to Design Professional Brands
- AI-assisted brand development
- Defining brand identity
- Brand positioning
- Developing brand names and messaging
- Visual identity development
- AI-assisted logo and creative concepts
- Brand voice and tone
- Creating consistent brand assets
- Building professional AI-supported brand concepts
Module 15: Capstone Project – AI-Powered Marketing Strategy & Solution
- Identifying a marketing challenge or opportunity
- Defining business and marketing objectives
- Selecting appropriate AI tools and approaches
- Customer and market analysis
- Developing an AI-powered marketing strategy
- Integrating multiple marketing channels
- Creating AI-assisted marketing assets
- Developing implementation recommendations
- Defining performance measures
- Presenting the final AI-powered marketing solution
Key Skills You Will Gain
Participants will develop practical capabilities in:
- Artificial Intelligence for marketing
- Generative AI
- Prompt engineering for marketers
- AI-powered content creation
- Customer segmentation
- Marketing personalisation
- Predictive analytics
- Email marketing automation
- Social media marketing
- Market research
- Sentiment analysis
- PPC advertising
- Advertising optimisation
- Public relations
- Marketing storytelling
- Search Engine Optimisation
- Influencer marketing
- AI influencer development
- AI-assisted packaging design
- AI-powered branding
- Marketing automation
- Omnichannel marketing
- Marketing analytics
- AI-powered marketing strategy
Career Opportunities
The knowledge and practical skills developed through the AI in Marketing course can support professionals working toward roles such as:
- AI Marketing Specialist
- Digital Marketing Specialist
- Marketing Manager
- AI Content Strategist
- Digital Marketing Manager
- Social Media Manager
- Content Marketing Specialist
- SEO Specialist
- PPC Specialist
- Marketing Automation Specialist
- Growth Marketing Specialist
- Brand Strategist
- Marketing Analyst
- AI Marketing Consultant
- Digital Transformation Marketing Specialist
Why Choose This Course?
Artificial Intelligence is rapidly changing the way organisations attract, understand, engage, and retain customers. Modern marketing professionals increasingly need the ability to combine traditional marketing expertise with AI-powered technologies that can analyse data, generate content, personalise customer experiences, and optimise campaigns.
The AI in Marketing (AIM) course provides a comprehensive and practical approach to applying Artificial Intelligence throughout the marketing lifecycle. Rather than focusing on a single AI tool, participants explore how AI can support a wide range of marketing functions—from market research and customer segmentation to content creation, advertising, SEO, social media, branding, and personalisation.
By combining marketing strategy, Artificial Intelligence, generative AI, automation, analytics, and practical application, the course enables participants to develop modern marketing capabilities that can be applied directly within today’s AI-driven business environment.
The programme is particularly valuable for professionals who want to use AI to work more efficiently, make smarter marketing decisions, deliver more personalised customer experiences, and improve the overall effectiveness of their marketing activities.
