Companies today expect their marketing professionals to understand what it takes to design, execute and manage digital marketing strategies and campaigns. Marketing professionals, in both B2B and B2C environments, are now expected to know how to select, deploy and use a variety of marketing software platforms & services, including the latest AI-based platforms & tools. As of last count, there are over 11,000 MarTech applications in about 50 categories including advertising (AdTech), content marketing, marketing automation, sales automation, websites, social media, sales intelligence, and analytics. The best way to gain such expertise is for these professionals to actually build and execute specific digital marketing programs/strategies using various MarTech platforms in a lab environment.
This lab course, DML, takes students through the process of designing and executing specific digital marketing program components, hands-on. They will work with several marketing platforms and tools including some newer AI tools such as ChatGPT, for creating and managing digital presence, content and SEO, paid search and social media advertising, marketing analytics, & other aspects of digital marketing.
By the end of the course, students will have learned how to utilize key MarTech platforms, AI tools, and several frameworks to build out digital marketing programs, and by so doing, they will develop a deep understanding of what it really takes to design and execute digital marketing strategies and campaigns on their own. This course is primarily targeted at students (i) that are interested in marketing, MarTech and AdTech, (ii) that are aiming to be product managers, and (iii) that wish to start or join entrepreneurial ventures.
Registering for this course is strictly by application only. As this is a lab course where students will be executing real-life projects with real companies, there is a limit on the number of student slots. We will host a Webinar on Thursday, Aug 10 at 12:00 Noon, Central Time. In this webinar we will provide details about this Lab, the various class assignments & projects that the students will execute, and the application process. The application form for this course will be made available here and via email. Details regarding the webinar will be made available to students a week to 10 days in advance via email. Once accepted into the course, students will have 72 hours to decide before they will be registered. Once registered, students may not drop the course.
