Leveraging Data with AI

סקירה כללית

This course is for product managers who want to build AI products. It does not require any prior familiarity with AI.

You'll start by learning how AI can be applied, the different types of AI, data needs for AI, and the AI product lifecycle. Then, you'll dive deeper into two types of AI that can leverage existing datasets:

personalization and forecasting.

You'll learn some technical details about how these models work and how to evaluate them, and practice what you've learned with hands-on exercises. Finally, you'll pull this all together into a project where you'll develop a PRD for an AI-enabled gift recommendation system in an e-commerce setting.

סילבוס

• Using AI and Machine Learning in Business
Discover how AI and ML technologies can revolutionize business processes, from automating tasks to enabling smarter decision-making and innovation for a competitive edge.
• AI Personalization and Unsupervised Machine Learning
Learn how techniques such as recommendation engines and clustering algorithms can be used to create personalized product experiences.
• Predicting the Future with AI
This lesson covers regressions and time series basics, how they're used in industry, and how to consider the data requirements to train these models.
• Product Requirements Document (PRD) for an AI-Enabled Gift Recommendation System MVP
Create a PRD for an AI-enabled gift recommendation system that leverages existing customer data to encourage gift purchases on an e-commerce platform

---

נלמד על ידי

Jasmine Lawrence Campbell, Anurag Srivastava, Leo Zhu and Brad Nemer

---

נושאים

Business