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There is 1 module in this course
Discover how Generative AI (GenAI) is transforming the advertising landscape in our beginner-level course, "GenAI for Dynamic Advertising and Media Buying." This course provides an actionable roadmap to harnessing the power of AI for creating personalized ad content, automating campaigns, and optimizing performance.
With hands-on demonstrations of tools like Google Ads AI, Facebook Ads Manager, Bannerboo, and Elai, you’ll learn how to build dynamic ad content that speaks directly to your target audience. Through practical assignments and real-world case studies, this course gives you the skills to automate your media buying, improve your return on investment (ROI), and stay ahead in the rapidly evolving world of digital advertising.
This course is tailored for marketers, advertising specialists, and small business owners responsible for creating and managing ad campaigns. It’s also ideal for digital marketing professionals interested in automating processes and boosting campaign performance with the latest AI tools. Whether you’re looking to streamline media buying or craft more dynamic, data-driven ad experiences, this course will equip you with essential GenAI skills for advertising.
A basic understanding of digital marketing concepts and experience with popular advertising platforms like Google Ads and Facebook Ads will help participants get the most from this course. Familiarity with ad creation and campaign management basics is recommended, though no advanced technical expertise is necessary, as AI tools simplify complex tasks.
By the end of this course, learners will understand the key benefits of GenAI in advertising, be able to create personalized ad creatives with tools like Gemini, Bannerboo, and Elai while respecting data privacy, and set up automated campaigns using AI-driven platforms like Google Ads AI and Facebook Ads Manager. Participants will also gain skills in analyzing key metrics, such as CPA, CTR, and ROAS, using analytics to optimize campaign performance effectively.
This course provides an actionable roadmap to harnessing the power of AI for creating personalized ad content, automating campaigns, and optimizing performance. With hands-on demonstrations of tools like Google Ads AI, Facebook Ads Manager, Bannerboo, and Elai, you’ll learn how to build dynamic ad content that speaks directly to your target audience.
What's included
14 videos6 readings2 assignments1 peer review
Show info about module content
14 videos•Total 93 minutes
Introduction to the Course & Meet Your Instructor•2 minutes
Dynamic Advertising & The Role of GenAI •10 minutes
Effective Ad Personalization with AI •8 minutes
Creating Ad Creatives Using AI •11 minutes
Step-by-Step Setup of Ad Campaigns with AI (Part 1)•8 minutes
Step-by-Step Setup of Ad Campaigns with AI (Part 2)•6 minutes
Planning and Launching Ad Campaigns •8 minutes
Media Buying Process and Automation with GenAI•6 minutes
Optimizing Ad Campaigns with A/B Testing •6 minutes
Key Metrics for Evaluating Ad Campaigns •8 minutes
Using Analytics to Improve Campaigns •7 minutes
The Future of GenAI in Advertising •4 minutes
Automating Routine Tasks in Ad Campaigns •5 minutes
Congratulations and Continuous Learning Journey•2 minutes
6 readings•Total 35 minutes
Welcome to the Course: Course Overview •5 minutes
Hands On Learning (HOL): Evaluating AI Tools for Ads Creation •5 minutes
How GenAI Is Shaping the Future of Creativity in Marketing •5 minutes
How Generative AI Can Boost Consumer Marketing •5 minutes
Hands On Learning (HOL): Evaluating AI Tools for Analytics and Campaign Optimization•10 minutes
How AI, Media Mix Modeling & “Analyst-in-the-Middle” Design Will Revolutionize Media Planning & Buying •5 minutes
2 assignments•Total 50 minutes
GenAI for Dynamic Advertising and Media Buying•20 minutes
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What is AI-powered dynamic advertising in this course?
AI-powered dynamic advertising here means using generative AI to tailor ad creative, targeting, and campaign decisions to different audience signals instead of treating every viewer the same. In this course, the focus is on creating personalized ads, automating campaign work, and improving results through ongoing analysis.
When would you use AI-powered dynamic advertising?
You would use it when you need to adapt ads for different audience segments, behaviors, or stages in the buying journey without manually rebuilding everything each time. The course presents it as a practical approach for campaigns where personalization, automation, and testing need to work together.
How does AI-powered dynamic advertising fit into a broader workflow?
It sits in the middle of a broader campaign process, after you define your audience and goals and before you review performance and make improvements. The course treats it as a connected workflow that links audience insight, ad creation, media buying, and optimization.
How is AI-powered dynamic advertising different from static advertising?
Static advertising shows the same message and creative to everyone, while AI-powered dynamic advertising adapts content and delivery based on audience behavior or context. In this course, that difference matters because the work is less about producing one fixed ad and more about managing a system that can personalize and adjust over time.
Do you need any prerequisites before learning this approach?
A basic understanding of digital marketing and some familiarity with common advertising platforms is helpful before you start. You do not need advanced technical expertise, but it helps to already understand ad creation, campaign basics, and how marketers read campaign results.
What tools, platforms, or methods are used in this course?
The course uses AI-enabled ad platforms such as Google Ads AI and Facebook Ads Manager, along with creative-generation tools for building personalized ad content. The method centers on automation and data-driven optimization rather than manual ad setup alone.
What specific tasks will you practice or complete in this course?
You practice segmenting audiences, generating personalized ad creatives, setting up automated campaigns, and comparing ad variations to see what works better. You also use campaign analytics to interpret results and refine targeting, budgeting, and creative choices as part of a repeatable dynamic advertising process.