Predicting customer demands is an important factor when building new products. The success of a product incorporates learning from all stakeholders and data touchpoints in the ecosystem. For those seeking an analytical approach to enhance the success of their product and measure performance, the Data Strategy for Generative AI Platforms program by Kellogg Executive Education will empower you to leverage product data and put it to use for your organization. You will be taken through a data journey where you will explore using raw data to gather useful insights and heuristic automations using machine learning (ML) and artificial intelligence (AI) to find differentiated value for scaling their products.
This program provides you with the frameworks and tools to become an effective product manager— whether you work in a large organization or a smaller technology start-up. You’ll gain hands-on experience via examples, case studies, and assignments that build from an introduction to data and its value to developing a working knowledge of advanced ML data implementation projects.
This 7-week online program is ideal for:
The program may also be valuable to:
By the end of the program, you’ll be able to:
Module 1: Your Data Vision: What It Means and Why It Is Valuable
Module 2: Product Data Frameworks and Workflows
Module 3: Everything Product Analytics: How Do I Execute a
Module 4: Organizing and Presenting the End Result
Module 5: Visualizing Product Analytics
Module 6: Optimizing and Automating Product Data
What is the program about?
The Data Strategy for Generative AI Platforms program is designed to help you develop strategic advantages by leveraging product data in your organization, guiding you through the data supply chain, and learning how to use product data as a strategic asset.
What is the learning experience?
Your learning experience will consist of frameworks delivered via video lectures, live webinars, real world examples and case studies, application of frameworks through weekly activities, customized assignments and quizzes, discussion boards, and faculty engagement.
What is the program format?
The program consists of 6 modules delivered over 7 weeks online. Learners can expect to dedicate 4-6 hours per week to watch videos, complete assignments and participate in discussions. Modules are opened at the beginning of each week and have quizzes/assessments at the module’s conclusion. Learners may choose to engage with the program module all in one sitting or in smaller segments of time throughout the week. While the modules do not close, access to assignments is closed each week.
Could a learner choose to opt out of some topics?
No. This is an online program in which a topic module is introduced each week and the learner is expected to watch the video lectures, participate in the live webinars, complete the exercises/activities and take the mastery quiz at the end of each week to progress to the subsequent week’s topic.
Are any of the sessions delivered in real time (live)?
There will be live webinars, led by faculty and/or subject matter experts, delivered during the course of the program via a video conferencing platform. These sessions provide learners an opportunity to listen and ask questions, and while they are valuable in enhancing the overall experience, attendance is not mandatory. All live sessions are recorded for later viewing.
What methods will be used for grading and evaluations?
Kellogg program leaders will review assignments, discussions and exercises to determine participants’ understanding of the material.
How much time is allocated to complete assignments?
The due date for submitting assignments is typically within 7 days of the module opening, but can be as long as 14 days, depending on the scope of the assignment. However, learners may request deadline extensions to accommodate for business and personal conflicts that may arise during the program timeframe. Reach out to the program leader to discuss any challenges you may have in completing assignments.
Can participation in this program be counted as credit toward a degree, either at Kellogg, Northwestern University or another academic institution?
No. Executive Education offers only non-degree programs and each participant receives a certificate of completion at the end of the program. This certificate does not count as credit toward a degree. In addition, at this time, our online programs do not count as credit toward a Kellogg Executive Scholar Certificate.
Does the program offer community engagement for learners?
Yes, participants can create a profile, connect and collaborate with peers, and interact with academic/industry experts such as program leaders and teaching assistants. Office hours will be held during the program and all participants are welcome to join in with questions or to discuss assignments.
What are the requirements for accessing the program?
Participants will need the following to access the Data Strategy for Generative AI Platforms program:
PLEASE NOTE: Google, Vimeo and YouTube may be utilized in the program delivery
Does the program offer a certificate?
Yes. Participants will receive a digital certificate of completion from Kellogg following a successful conclusion to the program. Since this program is graded as a pass or fail, participants must receive an 80% to pass and obtain the certificate. This digital certificate can be shared with colleagues and posted on LinkedIn. (PLEASE NOTE: We do not provide reports of assessments, or “transcripts,” since this is a non-degree program.)
Who is Emeritus and what is their relationship with Kellogg Executive Education?
Kellogg Executive Education is partnering with Emeritus Institute of Management, an online education provider, to develop and deliver this program. By working with Emeritus, we are able to provide broader access to Executive Education, beyond our on-campus offerings, in a collaborative and engaging format that is consistent with Kellogg’s standard of quality.
December 7, 2023 - February 1, 2024
Start: December 14 at 12:00 AM
End: February 1 at 12:00 AM
March 6 - April 24, 2024
Start: March 13 at 12:00 AM
End: April 24 at 12:00 AM