Overview

Google, IBM & Meta Certificates – 40% Off

One plan covers every Professional Certificate on Coursera.

GenAI for Marketing & Customer Engagement is a practical, hands-on course designed for professionals who want to leverage Generative AI to create high-quality content, optimize SEO, automate marketing workflows, and deliver personalized customer experiences. Whether you're a digital marketer, marketing manager, brand leader, or customer experience professional, this course helps you understand how AI can improve productivity, strengthen customer engagement, and generate measurable marketing ROI. Through four structured modules, you'll explore the fundamentals of Generative AI in marketing, AI-powered content creation, SEO and Answer Engine Optimization (AEO), conversational AI, hyper-personalization, Agentic AI, marketing analytics, and AI-driven performance optimization. You'll learn how to integrate tools like ChatGPT and other AI platforms into marketing workflows while maintaining brand voice, ensuring ethical AI adoption, and implementing governance best practices. The course emphasizes strategic thinking and practical application, enabling you to confidently deploy AI across the marketing value chain and drive meaningful business outcomes. Interactive activities, role-play scenarios, hands-on labs, discussion prompts, and a capstone AI implementation project reinforce key concepts and prepare you to apply Generative AI in real marketing environments. By the end of the course, you'll be equipped to automate marketing processes, enhance customer engagement, optimize campaign performance, measure AI-driven ROI, and develop a practical roadmap for responsible and scalable AI adoption within your organization.

Syllabus

GenAI Marketing Fundamentals

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.

AI-Powered Content Marketing

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.

Customer Engagement Automation

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.

Analytics and Optimization

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.