STARWEAVER

Generative AI for Marketing: Content, SEO & Automation

STARWEAVER

Generative AI for Marketing: Content, SEO & Automation

STARWEAVER
Sam Kariuki

Instructors: STARWEAVER

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Assess GenAI marketing opportunities and address data privacy and ethical requirements.

  • Generate marketing content with AI and implement personalization strategies at a scale.

  • Deploy conversational solutions effectively and enhance customer journeys with AI automation.

  • Identify and deploy Agentic AI systems that act as autonomous partners in campaign optimization.

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Recently updated!

August 2026

Assessments

4 assignments

Taught in English

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There are 4 modules in this course

This module explores the fundamentals of Generative AI in modern marketing, examining the shift from traditional AI, the importance of AI literacy, and essential ethical considerations. Learners will identify practical use cases, governance best practices, and build a strategic AI roadmap for responsible, scalable adoption.

What's included

12 videos2 readings1 assignment1 peer review2 discussion prompts

This module explores how marketers can leverage Generative AI to scale multimodal content, optimize SEO through semantic and answer engine strategies, and maintain quality through human-in-the-loop governance. Learners will balance automation with brand voice, compliance, and risk mitigation to drive credible, high-impact content performance.

What's included

12 videos1 reading1 assignment1 peer review2 discussion prompts

This module explores AI-powered customer engagement through conversational AI, hyper-personalization, and agentic systems. Learners will examine how autonomous agents enhance support, orchestrate dynamic customer journeys, and drive revenue growth while balancing automation with ethical and strategic oversight.

What's included

11 videos1 reading1 assignment1 peer review2 discussion prompts

This module explores AI-driven analytics and optimization, from predictive segmentation and churn modeling to autonomous campaign management. Learners will apply ROI frameworks to quantify productivity gains, revenue uplift, and performance impact, linking AI initiatives directly to measurable business outcomes.

What's included

13 videos1 reading1 assignment2 peer reviews2 discussion prompts

Instructors

STARWEAVER
STARWEAVER
597 Courses1,223,865 learners

Offered by

STARWEAVER

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