GenAI for Marketing and Customer Insights

Übersicht

Generative AI is revolutionizing marketing by enabling unprecedented personalization and data-driven decision making. This comprehensive specialization equips marketing professionals with practical GenAI skills to create targeted campaigns, analyze customer behavior, and drive business growth.

Through 16 hands-on courses, you'll learn to leverage tools like ChatGPT, Google Ads AI, and analytics platforms to automate content creation, optimize customer journeys, and extract actionable insights from big data. You'll master AI-powered personalization at scale, from email marketing and social media campaigns to dynamic advertising and customer segmentation.

Whether you're a marketing manager, data analyst, or digital marketing specialist, this program provides the strategic framework to integrate GenAI into existing workflows while maintaining ethical standards. By completion, you'll have built a portfolio of AI-enhanced marketing projects and gained expertise in emerging MarTech tools that position you at the forefront of marketing innovation.

Lehrplan

• Course 1: Introduction to Generative AI Marketing
• Course 2: GenAI for Marketing Analysts: Innovate Marketing Strategies
• Course 3: GenAI for Product Marketers: Data-Driven Campaigns
• Course 4: GenAI for Digital Marketing and Ecommerce Analysts
• Course 5: Enhancing Customer Insights with Generative AI
• Course 6: GenAI for Personalized Marketing at Scale
• Course 7: GenAI for Digital Marketing Specialists
• Course 8: GenAI for Customer Insights
• Course 9: GenAI for Marketing Teams
• Course 10: GenAI for Social Media Marketing Specialists
• Course 11: GenAI for Customer Journey Mapping
• Course 12: GenAI for Marketing: Ethics and Trends
• Course 13: GenAI for Dynamic Advertising and Media Buying
• Course 14: Using GenAI for Tailored Customer Emails
• Course 15: Generative AI for Keyword Research
• Course 16: GenAI for Customer Analytics and Insights with JUNE

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Unterrichtet von

Anton Voroniuk, Antón Jáuregui, Christopher Klaus, Farhan Nek, Jana Porter, Resham Sivnarain, Ritesh Vajariya, Starweaver, Vinita Silaparasetty and Yash Thakker

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Fachgebiete

Computer Science