We may earn an affiliate commission when you visit our partners.
Course image
Serkan Sandikcioglu and Daniel Egger

This course combines the rigor of a university curriculum with the efficiency of a business bootcamp. Designed and taught by Professor Daniel Egger of Duke University, the course walks you through the entire digital marketing lifecycle, from initial market research to campaign planning, performance analysis, and budget optimization. And it’s all based on real-world data.

You’ll work through two detailed case studies, one in the recreational vehicle (RV) market and one for a  small business ( a theater) using tools like ChatGPT, Midjourney, and Excel to:

Read more

This course combines the rigor of a university curriculum with the efficiency of a business bootcamp. Designed and taught by Professor Daniel Egger of Duke University, the course walks you through the entire digital marketing lifecycle, from initial market research to campaign planning, performance analysis, and budget optimization. And it’s all based on real-world data.

You’ll work through two detailed case studies, one in the recreational vehicle (RV) market and one for a  small business ( a theater) using tools like ChatGPT, Midjourney, and Excel to:

  • Build AI-generated marketing research reports

  • Create ad mockups and campaign materials

  • Apply demographic segmentation and targeting

  • Track key funnel metrics (bounce rate, conversion rate)

  • Design and allocate digital ad budgets using real performance data

This is not a course about theory. You’ll use real sales and campaign data to uncover patterns, improve retention, reduce churn, and increase revenue. You’ll build marketing personas, craft targeted content, and learn how to make decisions that aren’t guesses, they’re projections grounded in data.

Whether you’re analyzing which Instagram campaign delivered the highest ROI or crafting an email series that converts, you’ll be applying the same techniques used by professional marketers, but now powered by AI.

What Makes This Course Unique:

  • Two hours of focused video lessons, packed with the equivalent of 20 hours of university content

  • AI made practical, prompt-writing tutorials, research automation, image creation, and more

  • Real-world business data provided in Excel and hands-on walkthroughs to build confidence, not just knowledge

  • A blend of creative and analytical marketing, showing how to use visuals, metrics, and segmentation together

  • Final lessons bring it all together into a marketing plan that’s actionable, budget-aware, and ready to deploy

By the end, you’ll have a strong foundation in digital marketing and a practical understanding of how AI can boost your effectiveness, save you time, and make your marketing smarter.

No prior experience is required. This course is designed for complete beginners. You don’t need a marketing background or technical skills.

All you need is:

  • A computer with internet access

  • A free ChatGPT account (we’ll show you how to set one up)

  • A basic version of Excel or Google Sheets

  • An open mind and a willingness to explore new tools

We’ll guide you step by step, from setting up AI tools to using simple functions in Excel. Everything is explained clearly with real examples.

Enroll now

What's inside

Learning objectives

  • Conduct ai-assisted market research using chatgpt to define market boundaries, analyze industry size, identify key competitors, and customer demographics
  • Develop a comprehensive marketing research report by integrating ai-generated insights
  • Calculate and interpret key marketing metrics such as customer acquisition cost (cac), lifetime value (ltv), and conversion rates using excel
  • Understand and apply the six-step digital marketing sales funnel
  • Design and allocate a digital marketing budget across various channels (e.g., google ads, instagram, organic search) based on performance data and projected roi
  • Implement demographic targeting to optimize campaign performance and enhance customer engagement.
  • Analyze real-world campaign data to identify patterns, improve customer retention, reduce churn, and increase revenue through data-driven decision-making.
  • Develop a strategic marketing plan that combines ai tools, data analysis, and creative assets to effectively launch and promote a new product

Syllabus

Introduction: Welcome to the Era of AI-Driven Digital Marketing
From Vision to Execution
The Creative and Analytical Fusion in Modern Digital Marketing
Read more

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Career center

Learners who complete Digital Marketing with AI will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 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 Digital Marketing with AI.
Provides an exhaustive, highly structured framework for planning, executing, and evaluating cross-channel digital marketing initiatives. Simon Kingsnorth systematically dissects search optimization, programmatic media, content distribution, and automation workflows. It serves as an indispensable reference for practitioners seeking to build cohesive, revenue-aligned digital engines.
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
Articulates the seminal inbound philosophy that transformed digital customer acquisition from intrusive outbound interruption to magnetic content-led discovery. Brian Halligan and Dharmesh Shah unpack search visibility, blogging cadence, social reach, and lead nurturing. It offers founders and marketers a proven blueprint for sustainable organic growth.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
Transforms content marketing into a radical customer-first framework centered on answering buyers questions with unvarnished transparency. Marcus Sheridan details how addressing cost, comparisons, and problems directly on your website dismantles friction, accelerates the sales pipeline, and builds enduring commercial trust.
Provides an exceptionally practical, code-first curriculum that guides engineers from end-to-end data preprocessing and traditional regression pipelines to production deep learning models and generative neural networks.
Is specifically focused on Midjourney, offering a comprehensive guide from setup to advanced prompting techniques. It includes step-by-step instructions and examples, making it highly practical for users of the tool. This book useful reference and learning resource for mastering Midjourney.
More than just a basic Excel guide, this book focuses on applying Excel to real-world data analysis and business problems. It's ideal for those looking to deepen their understanding of using Excel for practical applications, including newer features like dynamic arrays and Power Query. is commonly used as a textbook and strong reference for business professionals.
Widely used textbook in university programs for its comprehensive and practical approach to market research. It covers the entire market research process with a strong emphasis on application and managerial decision-making. It is particularly useful for gaining a broad understanding and deepening one's knowledge, and serves as a valuable reference tool. The book includes detailed sections on both qualitative and quantitative methods, making it suitable for students and professionals alike.
Established the conceptual foundation of modern digital marketing by demonstrating that customer attention must be earned through explicit consent rather than bought through unwanted broadcast. Seth Godin introduces value-driven communication sequences that remain the bedrock of modern email marketing, inbound workflows, and retention campaigns.
Delivers an authoritative mathematical foundation in Bayesian inference, graphical models, and statistical learning algorithms, bridging foundational probability theory with rigorous predictive computational modeling.
A comprehensive guide to developing and implementing digital marketing strategies. covers various digital channels and techniques, providing a practical framework for navigating the complexities of online marketing. It's a valuable reference for professionals and students focusing on digital strategy. The third edition includes updates on recent trends.
Clarifies brand messaging by applying classical narrative architecture to digital customer journeys, positioning the user as hero and the brand as empathetic guide. Donald Miller supplies actionable templates to overhaul website copy, landing pages, and email funnels, eliminating confusing corporate jargon to substantially boost digital conversion rates.
This practical guide is specifically tailored for those interested in financial modeling using Excel. It provides step-by-step instructions and focuses on applying Excel features to solve common business and financial problems. It's a valuable resource for students and professionals in finance and business roles looking to solidify their modeling skills.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
This beginner's guide specifically addresses using text prompts for generating AI art with tools like Midjourney. It focuses on practical techniques for improving output through prompt engineering. good starting point for those new to AI art generation and Midjourney.
Offers a practical, step-by-step guide to implementing market segmentation effectively. It focuses on a systematic process for identifying needs-based segments and is valuable for both students and practitioners looking for a hands-on approach. It's considered a key resource for understanding the practical challenges and successes of segmentation.
Focuses specifically on Power Query, a powerful tool within Excel and Power BI for connecting, transforming, and combining data from various sources. It's highly relevant for contemporary data analysis workflows and is essential for users who need to clean and prepare data efficiently before analysis. This book adds significant depth to data manipulation skills within Excel.
Combines financial analysis and modeling concepts with the application of Excel and VBA. It's a valuable resource for those in finance who want to leverage Excel's power for complex analysis and automation. It deepens understanding by integrating financial theory with practical Excel implementation.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
Elevates content creation across blogs, social posts, landing pages, and newsletters into an authoritative craft accessible to every marketing professional. Ann Handley delivers tactical rules on narrative empathy, grammatical cadence, and rigorous editing, empowering digital marketers to publish compelling copy that captivates target audiences.
Is highly recommended for those who want to master financial modeling in Excel. It simplifies complex financial concepts and provides in-depth techniques for building, developing, and deploying financial models. It's a valuable resource for finance professionals and students seeking to deepen their financial modeling expertise.
The latest in Kotler's marketing series, this book explores the impact of technology on marketing and how marketers can leverage it to create a more human-centric approach. It delves into contemporary topics like AI, data, and agile marketing, making it highly relevant for understanding the future of marketing strategy.
Examines holistic architectural patterns for designing resilient machine learning infrastructure, addressing data pipelines, real-time feature stores, continual learning loops, and production deployment reliability.
Offers a detailed look at Power Query, focusing on practical techniques for data collection, combination, and transformation. It's an essential resource for anyone dealing with messy data and provides valuable skills for efficient data preparation in Excel and Power BI. This book significantly deepens understanding of data wrangling.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, demonstrating how to fine-tune, optimize, and deploy attention architectures across diverse natural language processing and understanding tasks.
While focused on ChatGPT, this book's principles of prompt engineering are directly applicable to Midjourney and other generative AI image tools. It serves as a practical guide for crafting effective prompts to achieve desired outputs. is useful as a reference tool for improving prompting skills.
Provides a collection of prompts and tips specifically for creating art with AI tools, including Midjourney. It serves as a practical resource for users looking for inspiration and guidance on prompt writing. This book useful reference for generating art with Midjourney and other tools.
This classic book introduces the enduring concept of positioning, explaining how to create a unique space for a product or brand in the consumer's mind. While not recently published, its core principles remain highly relevant for developing effective marketing strategies. It must-read for understanding competitive strategy and brand perception.
This handbook provides a comprehensive overview of market research, suitable for both deepening understanding and serving as a reference. It covers a wide range of topics and is valuable for graduate students and professionals. The authors are well-regarded in the field, adding to the book's authority.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Focuses on modern data analysis techniques within Excel, including Power Query and Power Pivot. It's a contemporary resource for users looking to update their data cleaning and reporting processes and perform more rigorous data analysis directly within Excel. It's highly relevant for professionals working with data regularly.
Introduces the Bullseye framework to help teams systematically discover, test, and scale the most productive customer acquisition channels among nineteen distinct options. Gabriel Weinberg and Justin Mares emphasize rapid experimentation, channel metrics, and iterative validation, preventing growth teams from prematurely locking into ineffective channels.
Considered a classic in financial modeling, this book focuses entirely on using Excel to implement financial models. It's a thorough resource for those seeking a deep understanding of financial modeling principles and their practical application in Excel, drawing on real-world company data.
Comprehensive guide covering a vast range of Excel topics from beginner to advanced levels. It's an excellent resource for gaining a broad understanding of Excel's capabilities and serves as a valuable reference tool for various functions, formulas, and features. While published in 2018, its foundational content remains highly relevant for solidifying core Excel skills.
This handbook offers a comprehensive guide to market segmentation specifically for business-to-business and technology firms. It covers identifying, analyzing, selecting, and targeting business markets and valuable resource for professionals in these sectors.
A comprehensive guide specifically for Excel 365, covering its features and capabilities. Similar to the Excel 2019 Bible, this book offers broad coverage and serves as a valuable reference for users of the subscription-based version of Excel, ensuring relevance to the latest updates.
Outlines a comprehensive methodology for building a loyal, monetizable digital audience by producing high-value editorial content rather than transient advertisements. Joe Pulizzi shows marketers how to define a unique content niche, establish sustainable publication cadences, and engineer direct attribution models that tie storytelling to business growth.
Offers a deep dive into the theoretical and methodological aspects of market segmentation. It covers traditional and more recent techniques, including finite mixture models. It's a valuable resource for advanced students and researchers seeking a rigorous understanding of segmentation methodologies.
Provides a comprehensive look at various segmentation bases, including demographics, psychographics, and behavioral factors. It's a solid resource for understanding how to predict and model customer behavior for targeted marketing efforts.
Bridges direct-response marketing fundamentals with contemporary software automation, CRM integration, and artificial intelligence capabilities. Dan Kennedy and Parthiv Shah provide practical architectures for automated lead segmentation, dynamic follow-up sequences, and customer reactivation campaigns that optimize conversion pipelines.
Demystifies modern artificial intelligence tools and large language models for marketing practitioners seeking operational efficiency and enhanced campaign performance. Mark Lamplugh presents hands-on strategies for automated content generation, predictive analytics, prompt engineering, and audience clustering to modernize everyday agency and in-house workflows.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
This handbook provides a solid foundation in financial modeling concepts and their implementation, often using Excel as a tool. It's a good resource for those who want to understand the theory behind financial models while also learning how to build them practically. It's suitable for both students and professionals.
Understanding consumer behavior is fundamental to effective market research. leading text in the field, exploring the 'why' behind consumer decisions. It's essential for anyone looking to deepen their understanding of the human element in market research and is often used in both undergraduate and graduate courses. The book incorporates contemporary topics like the impact of social media on consumer behavior.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
Delves into the core of what constitutes a good strategy, applicable across various business functions, including marketing. It helps readers identify the characteristics of a strong strategy and the pitfalls of a weak one, providing a solid foundation for developing robust marketing strategies.
Presents a framework for creating new market spaces, or "blue oceans," rather than competing in existing, crowded "red oceans." It offers a strategic approach to innovation and market creation, providing valuable insights for those looking to deepen their understanding of strategic marketing beyond traditional competition.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Digital Marketing with AI.
Audience Demographics with Facebook Audience Insights
Most relevant
AI-Driven Attribution Testing
Most relevant
Market Research and Consumer Behavior
Most relevant
Digital Marketing 2
Most relevant
AI in Digital Marketing
Most relevant
Introduction to AI for marketing professionals
Most relevant
Digital Marketing bootcamp with Gen AI - Beginner to Pro
Most relevant
ChatGPT o1 Copywriting Content Creation Writing Generation
Most relevant
Start A Business With This Complete A-Z Course...
Most relevant

Udemy Buyer Protection & Guarantee

Verified partner policies & purchase protections

Global Marketplace Leader
Free Trial & Audit

Free Lecture Previews

Free preview video lectures available for all courses; optional 7-day free trial on Personal Plan subscriptions (cancel before trial ends to avoid conversion).

Return & Refund Policy

30-Day Money-Back Guarantee

30-day money-back guarantee on all eligible individual course purchases (provided course content has not been substantially consumed or downloaded). Subscription fees are non-refundable once billed.

Buyer Protections

Verified Academic & Industry Partner

Lifetime access to purchased individual courses and future updates, verifiable certificate of completion, and direct student Q&A forums.

Key Purchase Protections
30-day 100% money-back guarantee on course purchases
Lifetime access on web, mobile, and offline
Certificate of completion included with purchase
Direct instructor Q&A and active student community
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser