Exploring Generative AI for Personalized User Experiences

Anne-Rae Vasquez, Ricardo R. Trujeque, and Lawrence McDaniel

Generative AI has emerged as a transformative force in personalization strategies, revolutionizing how businesses tailor experiences, products, and services to individual users, while also introducing complex ethical considerations and unprecedented opportunities for enhancing user engagement and satisfaction.

This course is tailored to introduce the exciting world of Generative AI (GenAI) and its applications in creating personalized user experiences. Participants will gain valuable insights into how GenAI is shaping the digital landscape and influencing user interactions across various platforms.

Generative AI has emerged as a transformative force in personalization strategies, revolutionizing how businesses tailor experiences, products, and services to individual users, while also introducing complex ethical considerations and unprecedented opportunities for enhancing user engagement and satisfaction.

This course is tailored to introduce the exciting world of Generative AI (GenAI) and its applications in creating personalized user experiences. Participants will gain valuable insights into how GenAI is shaping the digital landscape and influencing user interactions across various platforms.

This course blends theory and practice to immerse students in Generative AI (GenAI) and its personalization applications. Participants will explore key GenAI tools and techniques, learning how to enhance user experiences. The curriculum covers basic implementation strategies for real-world scenarios and addresses critical ethics and privacy concerns in AI-driven personalization. Students will also gain insights into the latest GenAI trends and their impact on digital interactions. This comprehensive approach provides a well-rounded understanding of GenAI’s potential and challenges in creating personalized user experiences.

By the end of this course, participants will have a solid foundation in understanding GenAI’s role in personalization, preparing them for future academic pursuits and potential careers in technology, marketing, or related fields. This course serves as an excellent starting point for students looking to broaden their knowledge in the rapidly evolving field of AI-driven user experiences.

Who is this course for?

Aspiring Content Creators – Those looking to start a career in content creation (YouTube, TikTok, Instagram, blogging, podcasting).
Digital Media Professionals – Those working or transitioning into digital marketing, social media management, or media production.
Marketing Professionals – Traditional marketing specialists who want to enhance their digital and social media skills.

Live interactive sessions :

This course includes two 1.5-hour live interactive sessions on Wednesdays, where you'll engage directly with course instructors and industry experts, ask questions, and gain hands-on experience.

Wednesday, April 30 at 5 PM PST / 8 PM EST
Wednesday, May 7 at 5 PM PST / 8 PM EST

What You’ll Get:

Live expert-led session for real-time insights
Interactive Q&A to address your challenges
Practical strategies to create engaging and high-impact content

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What's inside

Learning objectives

Analyze the impact of ai personalization on user engagement and business outcomes
Understand the fundamentals of generative ai and its role in personalization
Explore different ai personalization tools and their applications

Learn how to implement ai personalization strategies in marketing campaigns
Develop skills to evaluate and choose the right ai tools for specific personalization needs

Analyze the impact of ai personalization on user engagement and business outcomes
Understand the fundamentals of generative ai and its role in personalization
Explore different ai personalization tools and their applications
Learn how to implement ai personalization strategies in marketing campaigns
Develop skills to evaluate and choose the right ai tools for specific personalization needs

Syllabus

Module 1: Introduction to Generative AI and Personalization

Welcome to the Course

Overview of Generative AI: Concepts and Real-World Applications

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Exploring Generative AI for Personalized User Experiences with these activities:

Review Fundamentals of AI

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Solidify your understanding of core AI concepts to better grasp the nuances of generative AI and personalization.

Browse courses on Generative AI

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Review basic AI algorithms and their applications.
Study the differences between AI, machine learning, and deep learning.
Familiarize yourself with common AI terminology.

Read 'Marketing AI' by Paul Roetzer and Mike Kaput

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Explore real-world examples of how AI is being used to personalize marketing campaigns.

View Marketing Artificial Intelligence: AI,... on Amazon

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Read the chapters on AI-powered personalization in marketing.
Identify examples of successful AI personalization campaigns.

Read 'Generative Deep Learning' by David Foster

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Gain a deeper understanding of the technical underpinnings of generative AI models.

View Generative Deep Learning: Teaching Machines To... on Amazon

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Read the chapters on GANs and VAEs.
Experiment with the code examples provided in the book.

Four other activities

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Follow a Tutorial on AI-Powered Content Generation

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Learn how to use AI tools to generate personalized content for different user segments.

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Find a tutorial on using a specific AI content generation tool.
Follow the tutorial and experiment with different content prompts.
Adapt the generated content to fit your specific needs.

Blog Post: Ethical Considerations in AI Personalization

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Reflect on the ethical implications of using AI for personalization and share your insights with others.

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Research the ethical challenges of AI personalization.
Write a blog post outlining your findings and recommendations.
Share your blog post on social media and online forums.

Personalized Content Recommendation System

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Apply your knowledge of generative AI to build a system that recommends personalized content to users.

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Collect a dataset of user preferences and content features.
Implement a generative model to predict user interests.
Evaluate the performance of your recommendation system.

Presentation: AI Personalization Strategies for E-commerce

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Develop a presentation outlining different AI personalization strategies that can be used in e-commerce.

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Research AI personalization techniques for e-commerce.
Create a presentation outlining your findings and recommendations.
Practice your presentation and prepare for questions.

Career center

Learners who complete Exploring Generative AI for Personalized User Experiences will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Exploring Generative AI for Personalized User Experiences.

Marketing Artificial Intelligence

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Explores the practical applications of AI in marketing, including personalization. It provides real-world examples and case studies of how businesses are using AI to improve their marketing campaigns. This book is valuable as additional reading to understand the business impact of AI personalization. It is commonly used by marketing professionals looking to adopt AI technologies.

Marketing Artificial Intelligence: AI, Marketing,...

Hardcover

$$

Marketing Artificial Intelligence: AI, Marketing,...

Kindle Edition

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Generative Deep Learning

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Provides a comprehensive overview of generative models, including GANs, VAEs, and transformers. It is useful for understanding the underlying mechanisms of generative AI. While not directly focused on personalization, it offers a strong foundation for advanced applications. This book is commonly used by graduate students and AI practitioners.

Generative Deep Learning: Teaching Machines To...

Paperback

$$$

Generative Deep Learning: Teaching Machines to...

Paperback

$$$$

(Deutsch) Generatives Deep Learning: Maschinen das Malen,...

Kindle Edition

$$

(Français) Deep learning génératif

Paperback

$$$