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Digital Marketing AI Alumni Course

Course description

In Generation’s Digital Marketing – AI Alumni Course, you will be introduced to AI tools designed to enhance digital marketing strategies, helping you work more efficiently and creatively in an evolving digital landscape. Through hands-on experimentation, you will learn how to integrate AI into key marketing tasks such as content creation,SEO, email marketing, and social media management.

At the same time, you will cultivate a future-oriented mindset that balances AI’s capabilities with human creativity, ethical considerations, and strategic decision-making—ensuring your marketing initiatives remain impactful, relevant, and customer-focused.

Tools you will explore

  • Canva’s built-in AI
  • Mailchimp AI
  • Meta AI Tools
  • Emerging platforms that measure AI Engine Optimisation (AEO)
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Modules

➤ Pre-Programme Prep (~0.5 hours)

  • Get accounts for AI tools ready

➤ AI in Digital Marketing (~1 hour)

  • Identify the importance of AI for the work of a digital marketer
  • Recognise the key foundational AI concepts or buzzwords
  • Distinguish which AI-powered tools are available for digital marketers and the use case for each one

➤ Canva’s built-in AI (~4.5 hours)

  • Describe what Canva Magic Studio is and the tools that are included
  • Describe how Canva Magic Studio can assist and support their work as digital marketers
  • Demonstrate the basics of how to use select tools in Canva Magic Studio through an assignment

➤ Mailchimp AI (~2 hours)

  • Recognise the fundamentals of Mailchimp AI
  • Explain the future trends in AI-powered email marketing
  • Identify how AI can improve analytics or reporting
  • Identify how to use data-driven decisions to optimize email marketing strategies

➤ Meta AI Tools (~1.5 hours)

  • Describe what Meta AI is, its features, and its importance in the digital marketing landscape
  • Identify the application of Meta key AI tools in digital marketing processes
  • Recognise the benefits of using AI-driven data insights and reporting

➤ Problem-solving and Self-learning in SEO (~1 hour)

  • Develop the ability to embrace uncertainty and independently research solutions when faced with unfamiliar challenges
  • Recognise the importance of problem-solving and self-learning as core skills in SEO and how they apply to real-world challenges
  • Apply research skills to solve a real SEO challenge

➤ AI-Engine Optimisation (~2 hours)

  • Describe the impact of AI on SEO
  • Describe how AI prefers to see content on a website
  • Research best practices for applying AEO to a website
  • Research some platforms and tools that are now emerging to help brands analyse and measure AEO efforts

➤ Ethics of AI in SEO (~1 hour)

  • Analyse the ethical implications of using AI in SEO
  • Generate a list of actionable ethical tips in the use of AI in SEO

➤ Leverage AI in Technical SEO, Keyword Research, Content Optimisation and Link-building (~2 hours)

  • Describe how AI can help with technical SEO
  • Describe how AI tools can support keyword research
  • Conduct keyword research for a given topic using AI
  • Outline the best practices to optimise a blog post with the use of AI
  • Optimise a given blog post with the support of AI
  • Identify ways that AI can support additional on-page optimisation
  • Recognise the use of AI in link building

➤ Practice Keyword Research (~0.5 hours)

  • Use Google Trends and ChatGPT to generate a list of relevant keywords

➤ SEO Data Analysis (~2.5 hours)

  • Explain basic data analysis steps for digital marketers
  • Describe tips for using AI to support data analysis
  • Explain how insights from marketing performance reports inform actionable SEO strategies
  • Analyse a given data set to answer specific questions using problem-solving skills
  • Use insights from marketing performance reports to recommend SEO improvements
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