Generative AI Class for Marketing Leaders

This course empowers marketing leaders to leverage Generative AI for real business impact. Through 12 focused modules, you’ll learn the foundations, ethical practices, advanced audience targeting, content creation, and optimization strategies that drive efficiency, personalization, and new revenue streams—while safeguarding brand trust.

1: Gen AI Foundations for Marketing Leaders

Understand what Generative AI is, how it works, and why it matters in enterprise marketing.

Chapters:

The AI Landscape — From GPT to multimodal models.

Core Concepts — LLMs, embeddings, fine-tuning, and prompt engineering.

Business Impact — Efficiency, personalization, and new revenue streams.

2: Ethical & Responsible AI Marketing

Learn how to use AI in compliance with regulations and brand values.        

Chapters:

AI & Privacy Laws — GDPR, CCPA, and beyond.

Bias & Fairness — Avoiding unintended harm.

Responsible AI Playbook — Building trust with customers. 

3: Audience Research & Segmentation

Harness AI to understand and segment customers more deeply.

Chapters:

Data-Driven Personas — AI-enhanced demographic & psychographic profiling.

Behavior Prediction — Intent and propensity modeling.

Real-Time Segmentation — Dynamic audience updates.

4: Generative Content Creation

Use AI to produce high-quality, brand-safe content at scale.

Chapters:

Text Generation — Blog posts, ad copy, email campaigns.

Image & Video AI — From DALL·E to Sora.

Brand Voice Tuning — Custom style guides for AI.

5: AI for Search & SEO/AEO

Optimize for both human and AI search engines (SEO + AEO).

Chapters:

SEO in the Age of AI — Ranking for both people and bots.

AEO/GEO Optimization — Voice assistants & AI search integration.

AI-Driven Keyword Research — Predicting search intent shifts.

6: Conversational Marketing & Chatbots

Build AI assistants that drive engagement and conversion.

Chapters:

From FAQ to Sales Assistant — Designing effective chatbots.

Personalization in Conversations — Real-time recommendations.

Multilingual & Multichannel Bots — Scaling globally.

7: AI for Paid Media Optimization

Automate targeting, bidding, and creative testing.

Chapters:

AI-Powered Ad Targeting — Predictive audience matching.

Creative Testing Loops — AI-assisted A/B and multivariate testing.

Budget Optimization — Maximizing ROAS in real time.

8: AI in Email & Lifecycle Marketing

Automate and personalize customer journeys.

Chapters:

Hyper-Personalized Campaigns — AI-tailored messaging.

Predictive Lifecycle Triggers — Timing that converts.

Retention Strategies — AI for churn prevention.

9: AI-Enhanced Social Media Marketing

Automate social listening, posting, and engagement.

Chapters:

Social Listening with AI — Trend detection & sentiment analysis.

Content Generation for Social — Tailored formats per platform.

Engagement Bots — Scaling human-like interactions.

10: AI for Data Analysis & Insights

Let AI turn complex marketing data into actionable insights.

Chapters:

Automated Dashboards — AI-generated reports.

Predictive Analytics — Forecasting campaigns & demand.

Data Storytelling — Turning numbers into narratives.

11: AI in Creative Production

Integrate AI into creative workflows for speed & innovation.

Chapters:

Generative Design Tools — From Canva to Adobe Firefly.

Video Generation & Editing — AI in production pipelines.

Creative Augmentation — Human + AI collaboration models.

12: The Future of AI in Marketing

Stay ahead of the curve with emerging AI marketing trends.

Chapters:

Multimodal & Autonomous Agents — What’s next.

AI + AR/VR Marketing — Immersive brand experiences.

Continuous Learning Strategy — Keeping skills & tools fresh.

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