1 day course 
Certificate of Attendance 
Private Artificial Intelligence is revolutionising the way brands interact with customers, analyse data, and execute campaigns. This one-day course demystifies AI and its practical applications in digital marketing.
You’ll discover how AI can enhance efficiency across a range of marketing activities—from personalised content and predictive analytics to smarter customer segmentation and automated campaign delivery.
Perfect for marketing professionals eager to stay ahead of the curve, this session will show you how to seamlessly integrate powerful AI tools into your everyday workflows.
Our AI in Digital Marketing course is available as a private session that can be delivered via Virtual Classroom or at a location of your choice across Australia.
Course overview
Who should attend:
This course is perfect for:
- Digital marketers interested in leveraging AI tools
- Data analysts exploring AI applications in marketing
- Marketing strategists seeking to innovate with AI
What you'll learn:
By the end of this course, you will be able to:
- Understand AI technologies applicable to digital marketing
- Implement AI for customer segmentation and targeting
- Utilize AI-driven analytics for campaign optimization
- Explore ethical considerations in AI marketing
Course agenda
- What is AI?
- How AI is transforming the marketing funnel
- Real-world brand use cases (who’s doing it right)
- Predictive audience modeling and dynamic segmentation
- Lookalikes, interest-based clustering, and intent prediction
- AI-driven audience expansion tools (Meta, Google, TikTok)
- Integrating 1st-party data for cookieless targeting
- AI-generated ad headlines, CTAs, and descriptions
- Dynamic creative optimization (DCO) for display and social
- A/B testing vs. multivariate testing with AI
- Smart bidding strategies (target CPA/ROAS)
- Budget pacing, geo/ad scheduling automation
- Performance forecasting and live optimization
- AI-enhanced attribution models (data-driven, multi-touch)
- Real-time insights, performance scoring and alerts
- Campaign forecasting and scenario modeling
- Budget allocation and bidding strategies on retail platforms
- Seasonal and promotional campaign planning (e.g., Prime Day, Black Friday)
- Cookieless future and consent management
- Responsible automation and transparency in ad delivery
- Avoiding algorithmic bias in targeting