Data Strategy for Generative AI Platforms

This program provides participants with the frameworks and tools to become an effective product manager — whether you work in a large organization or a smaller technology start-up. Participants 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. Successful completion of the full program is required to earn this Certificate of Completion. Program content includes: Module 1 – Your Data Vision: What It Means and Why It Is Valuable Sets the foundation for you to establish a product data mindset so that you can achieve organizational outcomes. Your data journey begins with exploring different types of data, the importance of data collection and workflows, and how to establish data-driven culture. Module 2 – Product Data Frameworks and Workflows You will analyze and apply two key frameworks for your data strategy which will help you develop a data mindset and move towards your data vision. Our Product Analytics Needs Framework and Double Diamond Product Process provide a roadmap to achieving organizational outcomes. Module 3 – Everything Product Analytics: How Do I Execute a Data-Driven Product? Identify research data that will serve as evidence for making decisions. Examine how powerful your product data is for your organization, as well as, methods for collecting different types of product data and why the data is needed. Module 4 – Organizing and Presenting the End Result Delve into the classification and analytics stages of our Product Analytics Needs Framework. Organize your data into categories, which is vital for compliance and security. Module 5 – Visualizing Product Analytics Graphic displays of data can be powerful tools for gaining insights and conveying complex information. Learn how you can use visuals to identify trends and clusters, spot patterns, and present results. Module 6 – Optimizing and Automating Product Data Complete your product data journey with optimization and automation. Create a machine learning heuristic and use an optimization equation to improve your product data and workflows that generate product data insights.