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Faculty of Social Sciences

Sagicor Cave Hill School of Business and Management

Short Courses

AI Marketing

Registration is Closed

Overview

AI has revolutionized the marketing landscape, providing marketers with powerful tools and techniques to understand customer behaviour, personalize experiences, optimize campaigns, and drive revenue. This comprehensive course on AI in Marketing is designed to equip participants with the knowledge and skills necessary to harness the potential of artificial intelligence for strategic marketing initiatives. From predictive analytics to chatbots and recommendation engines, you will explore a wide range of AI applications tailored specifically for marketing professionals.
 
By the end of this course, participants will have a deep understanding of how AI is transforming the marketing industry and the practical knowledge to implement AI-driven strategies in their own organizations and career.
 
Programme Goals
 
The goals of this programme are to:
  • To learn the fundamentals of how AI can be integrated into marketing strategies and campaigns
  • To learn how to practically build AI into marketing campaigns
  • To gain practical experience using AI tools such as Chat GPT, Notion and Canva
  • To learn what the future of AI is and how marketers can stay ahead of the curve
 
Programme Objectives
 
Emerging from this programme, you will be able to:
  • Build AI-driven marketing strategies and campaigns
  • Use AI tools to boost your marketing efficiency and practice
  • Create automated marketing processes
 
 
 
 
 
Programme Curriculum
Module 1: Introduction to AI in Marketing
  • Overview of AI
  • Understanding the role of AI in modern marketing
  • Key concepts and terminology
  • Real-world examples of AI-driven marketing campaigns
  • Practical with Chat GPT
Module 2: Fundamentals of AI
  • Understanding AI
  • Types of AI: Narrow vs General
  • Machine learning basics
  • Deep learning basics
Module 3: Data-Driven Marketing Strategies
  • Importance of data in marketing
  • Data collection, integration, and management
  • Predictive analytics for customer segmentation and targeting
  • Strategising with AI
  • Competitive advantages with AI
Module 4: Mapping AI on the Customer Journey
  • Understand what stages of marketing can be automated
  • Defining metric and tactics at each stage of the journey
  • Mapping AI technologies onto the customer journey
Module 5: Personalization and Customer Experience
  • Creating personalized experiences at scale
  • Recommender systems and content personalization
  • Dynamic pricing and product recommendations
Module 6: AI-powered Content Creation and Optimization
  • Content generation using natural language processing (NLP)
  • A/B testing and optimization with machine learning algorithms
  • Sentiment analysis and social listening
  • Practical with Canva
Module 7: Assessing Opportunities in Paid and Owned Media
  • Advertising platforms using AI
  • How to leverage AI in advertising
  • Using dynamic advertising
  • Acquisition AI
Module 8: Social Media and AI
  • Social media analytics
  • Social media listening
  • Sentiment analysis
  • AI in social media content
Module 9: Marketing Automation and Chatbots
  • Streamlining workflows with marketing automation
  • Designing and implementing chatbots for customer support and engagement
  • Best practices for conversational AI
  • Examples of chatbots
Module 10: Visual Recognition and Image Analysis
  • Leveraging image recognition for visual marketing
  • Brand monitoring and image analysis tools
  • Enhancing user experience with visual search
  • Case study on Google Image Analysis
Module 11: Voice Search and Virtual Assistants
  • Understanding the rise of voice search
  • Optimizing content for voice-enabled devices
  • Building AI-powered virtual assistants for marketing purposes
Module 12: Ethical Considerations and Privacy Issues
  • Ethical implications of AI in marketing
  • Ensuring data privacy and security
  • Regulatory compliance and best practices
  • Concerns of AI – looking back at previous cases of ‘technology fear’
  • Using responsible AI practices
Module 13: AI and Time Management
  • Efficiency using AI
  • Marketing automation using AI
  • Redirecting your skills
Module 14: Case Studies and Practical Applications
  • Examining successful AI marketing campaigns
  • Hands-on exercises and simulations
  • Group discussions and peer feedback
  • Practical with Notion
 
Module 15: Future Trends and Emerging Technologies
  • Trends shaping the future of AI in marketing
  • Emerging technologies and their potential impact
  • Strategies for staying ahead in an AI-driven marketing landscape
 
Module 16: Student Presentations and feedback
 
  • Student Presentations
  • Course feedback
 
 
Programme Assessment
  • Group Presentation: 50%
  • Individual Essay on “Will AI replace marketing?”: 50%
 
 
Key Benefits of the Programme:
 
  • Become a leader in AI marketing in Barbados and the wider Caribbean
  • Know how to use AI tools for increased marketing efficiency
  • Stay ahead of the competition when applying for marketing roles or building your organization
 
Who should attend:
  • Marketing professionals seeking to enhance their skills with AI
  • Business owners and entrepreneurs looking to leverage AI for marketing
  • Students and individuals interested in the intersection of AI and marketing
 
Note: Only a basic understanding of marketing concepts is required. Marketing concepts and theories will be built into the course throughout.
 

At a Glance

Course Duration:

October 13th – December 3rd, 2025

Times:

Mondays and Wednesdays 5:30pm – 8:30pm AST

Certificate Awarded:

Cost:

US $1,920.00  
Register and pay at least 1 instalment by January 31, 2025 and save 15%
Corporate groups and groups of 3 or more save 20%

Registration Deadline:

Modality:

Live Online

Contact Us Today


Direct Contacts

Wanda Monrose
wanda.monrose@cavehill.uwi.edu
(246) 424-7731

Additional Information

All notification of cancellations, deferrals, and substitutions must be received in writing. Please submit your request via e-mail to schsbmopen@cavehill.uwi.edu

CANCELLATIONS

  • The Sagicor Cave Hill School of Business and Management (SCHSBM) reserves the right to make changes to any printed or online information on short courses, instructors, or course information; or cancel any short course due to under-subscription or circumstances beyond its control.
  • Delegates will be notified at least seven (7) days before the start of any course that must be cancelled.
  • Fees for short courses cancelled by the SCHSBM will be refunded in full.
  • The SCHSBM will not be liable for any loss, damages or other expenses that result from course cancellations.

REFUNDS

Due to the costs incurred for program preparation and administration any cancellations received 30 days or less from the program start date are subject to fees as described below. For programs with a virtual component, the start date will be considered the first day of live learning.

Written notice of cancellation received by SCHSBM

Refund

30 days or more before the start of the specific course

100% of course fees.

29 to 15 days before the start of the specific course

50% of course fees.

14 days or less before the start of the specific course

No refund

Sagicor Cave Hill School of Business and Management
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