Generative AI for Marketing Training Course

Generative AI for Marketing Training Course

Introduction

Generative AI for Marketing Training Course is designed to equip marketing professionals, business leaders, entrepreneurs, communication teams, and digital specialists with the skills required to harness Generative AI, large language models (LLMs), AI-powered content creation, marketing automation, customer intelligence, personalization, and data-driven decision-making. As AI rapidly transforms how organizations attract, engage, convert, and retain customers, marketers need more than basic prompting skills they need a strategic understanding of how to integrate AI into the entire marketing lifecycle. This course explores modern AI tools and workflows for developing campaigns, creating high-quality content, generating marketing insights, optimizing customer journeys, conducting competitive research, improving SEO, and accelerating creative production while maintaining brand voice, accuracy, originality, and responsible AI practices.

Participants will learn how to build AI-powered marketing strategies, create effective prompts, generate multi-channel campaigns, personalize customer experiences, automate repetitive marketing tasks, analyze audience feedback, develop SEO and social media content, and use AI to support campaign optimization. Through hands-on exercises, practical demonstrations, simulations, group activities, and real-world case studies, learners will transform Generative AI from an experimental technology into a practical marketing capability. The course also addresses AI governance, content quality, human-in-the-loop review, privacy, intellectual property, bias, brand safety, and responsible AI adoption, enabling organizations to achieve greater marketing productivity while preserving strategic creativity and human judgment.

Course Duration

5 days

Course Objectives

By the end of the course, participants will be able to:

1. Understand the fundamentals of Generative AI, LLMs, foundation models, and AI-powered marketing. 
2. Develop effective prompt engineering techniques for marketing applications. 
3. Create AI-assisted marketing strategies, campaign concepts, and customer propositions. 
4. Generate high-quality multichannel marketing content at scale. 
5. Apply AI to SEO, content marketing, keyword research, and search optimization. 
6. Use Generative AI for social media strategy, content calendars, and audience engagement. 
7. Develop personalized customer experiences and AI-driven marketing journeys. 
8. Apply AI to market research, customer insights, sentiment analysis, and competitive intelligence. 
9. Use AI for email marketing, lead nurturing, campaign automation, and conversion optimization. 
10. Integrate Generative AI into marketing analytics, performance measurement, and campaign optimization. 
11. Design efficient AI marketing workflows and automation use cases. 
12. Apply responsible AI, data privacy, copyright, brand safety, and AI governance principles. 
13. Build an actionable Generative AI marketing adoption roadmap aligned with organizational goals and ROI. 

Target Audience

1. Marketing managers and marketing executives 
2. Digital marketing specialists 
3. Brand and communications professionals 
4. Social media and content marketing teams 
5. Sales and business development professionals 
6. Entrepreneurs, founders, and small-business owners 
7. Advertising, PR, and creative professionals 
8. Business leaders and professionals responsible for digital transformation 

Course Modules

Module 1: Generative AI Fundamentals for Marketing

• Understanding Generative AI, LLMs, multimodal AI, and foundation models 
• Evolution of AI from traditional analytics to generative marketing 
• Marketing use cases across the customer lifecycle 
• Understanding AI capabilities, limitations, and hallucinations 
• Identifying high-value AI opportunities in marketing 
• Case Study: A retail company identifies AI opportunities across content creation, customer engagement, campaign planning, and marketing analytics.

Module 2: Prompt Engineering for Marketing Professionals

• Designing effective marketing prompts 
• Role, context, task, constraints, and output formatting 
• Few-shot and structured prompting techniques 
• Prompt libraries for recurring marketing activities 
• Evaluating and refining AI-generated outputs 
• Case Study: A marketing team develops a reusable prompt framework for producing consistent campaign briefs, customer personas, and social media content.

Module 3: AI-Powered Content and Creative Marketing

• Generating blogs, articles, landing pages, and marketing copy 
• AI-assisted storytelling and creative ideation 
• Developing brand voice and messaging frameworks 
• Creating campaign concepts and creative variations 
• Human review and editorial quality control 
• Case Study: An e-commerce brand uses Generative AI to accelerate the creation of product descriptions and campaign copy while maintaining its established brand voice.

Module 4: Generative AI for SEO and Content Strategy

• AI-assisted keyword and topic research 
• Search-intent analysis and content planning 
• Creating SEO-focused content briefs 
• Optimizing website content and metadata 
• Developing topical authority and content clusters 
• Case Study: A B2B company uses AI-assisted research to build a content cluster around high-value customer search themes and improve its organic visibility.

Module 5: AI for Social Media and Customer Engagement

• Creating social media strategies and content calendars 
• Generating platform-specific content variations 
• Audience segmentation and personalization 
• Social listening and sentiment analysis 
• AI-assisted community engagement 
• Case Study: A consumer brand uses AI to transform one campaign concept into tailored content for multiple social platforms while adapting messaging to different audience segments.

Module 6: AI-Powered Personalization and Customer Journeys

• Building AI-assisted customer personas 
• Customer journey mapping with Generative AI 
• Personalized messaging and recommendations 
• AI-powered email and lead-nurturing campaigns 
• Improving customer experience through contextual content 
• Case Study: A subscription business uses AI to develop personalized communication journeys for prospects at different stages of the customer lifecycle.

Module 7: AI Marketing Analytics and Campaign Optimization

• Using AI to interpret marketing performance data 
• Campaign performance analysis and insight generation 
• Customer feedback and sentiment analysis 
• Identifying trends, opportunities, and anomalies 
• Developing AI-assisted optimization recommendations 
• Case Study: A digital marketing team uses AI to analyze campaign performance and identify patterns across customer segments, channels, and content types.

Module 8: AI Marketing Automation, Governance and Strategy

• Automating repetitive marketing workflows 
• Integrating AI into campaign planning and execution 
• Measuring productivity, performance, and marketing ROI 
• AI governance, privacy, copyright, bias, and brand safety 
• Building an enterprise Generative AI marketing roadmap 
• Case Study: A growing organization develops an AI marketing operating model covering approved tools, governance controls, workflows, employee training, and measurable business outcomes.

Training Methodology

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.