AI-Powered Marketing Automation
About This Course
AI-Powered Marketing Automation equips you with essential skills to harness artificial intelligence in modern marketing strategies. This practical course blends theoretical foundations with hands-on implementation techniques relevant to today's digital marketing landscape.
You'll explore the core concepts of AI and statistics as they apply to marketing automation, learning how these technologies drive customer targeting and segmentation. The course examines various machine learning techniques and demonstrates how to implement them in marketing campaigns with measurable attribution metrics.
Data management forms a crucial component, as you'll learn to design marketing automation systems with strong data governance and cleaning protocols. You'll develop skills to create functional prototypes that integrate seamlessly with existing marketing technology stacks and third-party service providers.
The curriculum covers data interoperability across marketing platforms, teaching you how to maintain consistent data flow between disparate systems. You'll visualise how proper data cleaning creates standardised, high-quality information that powers effective marketing analytics.
Finally, you'll master AI workflow implementation, designing comprehensive marketing automation plans with robust monitoring systems. By identifying performance issues early, you'll ensure your AI marketing solutions deliver optimal results and continuous improvement.
What You'll Learn
You'll discover mathematical models that optimise marketing funnels and attribution analysis. The course covers data management principles essential for building robust marketing systems with clean, standardised information.
You'll develop skills in deploying AI-powered workflows that automate customer journeys and campaign sequences. The course also teaches how to monitor marketing automation performance and troubleshoot issues that arise.
By the end, you'll be able to design, implement and manage sophisticated AI marketing automation systems that deliver measurable results.
Learning Outcomes:
LO1: Analyse the foundational concepts of AI and statistics in marketing automation to create a comprehensive implementation framework that demonstrates their practical applications in customer targeting.
LO2: Evaluate machine learning techniques to produce a marketing campaign strategy with measurable attribution metrics.
LO3: Analyse types of AI applications and implementation procedures to develop an implementation checklist and support the deployment of AI marketing features in collaboration with technology service providers.
LO4: Develop protocols for data interoperability to produce a data transformation mapping that ensures compatibility between marketing platforms.
LO5: Apply data cleaning techniques and principles of clean data sets to produce a cleaned dataset with documented quality improvements.
LO6: Apply software development methodologies to produce a configured marketing workflow with documented test results.
LO7: Apply data management principles to produce an issue report documenting AI application problems with severity classifications.
Entry Requirements
• 21 years and above
• At least one month work experience in a sales capacity
• Speak, write, listen and read English at a proficiency level not lower than the Workplace Literacy (WPL) Level 6, and at a Workplace Numeracy Level 5
• At least a diploma or equivalent