Module 1: Foundations of AI-Driven Digital Marketing

Sets the conceptual and practical groundwork for the programme. Participants are introduced to how AI is reshaping the digital marketing landscape, then move directly into hands-on experience with AI-powered media generation, social media automation pipelines, and the emerging discipline of optimising for AI-driven search (AEO/GEO). By the end of this module, participants have a working mental model of the AI-enhanced marketing stack and have already built tangible artifacts using generative and automation tools.

1. Introduction to AI-Driven Digital Marketing

2. Using AI for Image, Video, and Audio Content (Structured JSON Image and Video Gen for Social Media)

3. Social Media Strategy Development and Role of AI (Social Media Automation — Flow and n8n)

4. AI in Search Algorithms and Consumer Behavior — I (AEO/GEO I)

5. AI in Search Algorithms and Consumer Behavior — II (AEO/GEO II)

Module 2: Search Engine Marketing & Platform Ecosystems

Deep-dives into the dominant platforms where paid and organic discovery happens — Google's advertising and commerce ecosystem, YouTube, and X. Participants learn campaign design, ad copy, merchant feed management, and video/microblogging strategies, culminating in a paid search simulation that ties keyword research, ad copy, landing page optimisation, and bidding logic into a single decision-making exercise.

6. Ad Copy and Campaign Design (Google Ecosystem)

7. Omnichannel eCommerce Setup and Management (Google Merchant Center)

8. YouTube and X: Video and Microblogging Strategies (YouTube and X Marketing)

9. Keyword Research, Ad Copy & Campaign Design (Paid Search Campaigns and Simulation; incl. Web Design Frameworks & Landing Page Optimization)

Module 3: Digital Marketing Strategy, Branding & Trends

Zooms out from tactics to the strategic layer. Participants examine how marketing strategy is being rewritten by AI and digital transformation, how brands need to adapt their positioning and consumer personas, and what's genuinely new in the field versus hype. This module provides the strategic lens through which the hands-on skills from Modules 1 and 2 are interpreted.

10. Marketing Strategy and Digital Transformation (Marketing, Core Values and Digital Strategy; incl. Consumer Digital Personas)

11. Digital Marketing Strategy in the AI Era

12. Branding in the Digital and AI World (Branding and Social Media)

13. Innovations and Future Trends in AI and Marketing — Part 1 (Recent Trends in Digital and AI-Driven Marketing)

Module 4: Content Strategy & AI-Driven Content Creation

Covers the full content lifecycle in the GenAI era — from B2B/B2B2C content marketing fundamentals and pricing strategy, through AI content tools like Writesonic (tentative), to case-driven lessons on what has worked in the market. Culminates with building custom AI applications (GPTs) for specific marketing use cases, giving participants the skills to create their own AI-powered content infrastructure.

14. Educating Consumers with Digital Content (Content Marketing — B2B and B2B2C; incl. Pricing Strategies in the Digital Era)

15. AI in Content Creation: Tools and Techniques (Writesonic — tentative For Content and SEO)

16. Key Case Studies in Digital Marketing

17. AI Tools for Automation

18. Creating Custom AI Applications for Marketing (GPTs, etc.)

Module 5: Social Media Analytics, Performance & Advanced Insights

The analytics-heavy core of the programme. Participants move from social media measurement and retargeting, through influencer and performance marketing, into predictive analytics, customer segmentation, and advanced CRM and personalisation. This module converts the creative and strategic work of earlier modules into measurable, optimisable, data-backed marketing operations.

19. Social Media Campaign Optimization, Retargeting and Analytics (Social Media Analytics and Retargeting using AI)

20. Social Media Strategy — Influencer Marketing using AI (incl. LinkedIn for B2B and Professional Networking)

21. AI-Driven Performance Marketing and Campaign Optimization (Performance Marketing using AI)

22. Advanced CRM and Personalization Strategies — Marketing Automation (Marketing Automation using Zapier)

23. Predictive Analytics and Customer Segmentation

24. Simulation Review and Analytics

Module 6: AI Infrastructure, Future Trends & Capstone

Closes the programme by addressing the infrastructure that powers enterprise-scale AI marketing(Azure setup), emerging frontiers including blockchain and future trends, and the Meta platform ecosystem. The final three sessions bring everything together — a strategic integration session followed by capstone proposals and final presentations, where participants demonstrate their ability to apply the full toolkit to a real marketing problem.

25. AI Infrastructure for Marketing — Azure Setup (MS Azure — Cloud Setup for AI Applications)

26. Innovations and Future Trends in AI and Marketing — Part 2 (incl. Block Chain and Smart Contracts in Marketing)

27. Tying It All Together: Strategic Integration in Digital & AI-Driven Marketing

28. Meta Platforms (Instagram, Facebook, WhatsApp)

29. Capstone Project — Proposals (Proposals)

30. Capstone Project — Final Presentations (Final Presentations)

The module structure and session sequencing presented here are indicative. The order of sessions and modules may be modified as deemed fit and necessary by the Programme Directors. For instance, Capstone Project Proposals, though listed under Module 6, will typically commence much earlier in the programme to allow participants adequate time for project development, iteration, and mentorship.

Given that digital and AI-driven marketing is a highly dynamic and fluid domain, session content, tools covered, and emphasis areas may also be updated during the course of delivery to reflect the latest trends, platform changes, regulatory developments, and tooling advances in the field.