This Nanodegree program equips you to manage AI products from concept to launch. Learn AI integration, design custom datasets, and develop strategies for Generative AI. You’ll create a PRD, build roadmaps, and explore LLMs in product strategies.
COURSE OVERVIEW
课程包含结构化章节、图文内容、代码示例和嵌入式视频。
获得课程授权后，可随时从“我的课程”进入学习。
VIP授权课程
COURSE CURRICULUM
共 4 个部分， 14 个章节。
Welcome! We're so glad you're here. Join us in learning a bit more about what to expect and ways to succeed.
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
Discover how AI and ML technologies can revolutionize business processes, from automating tasks to enabling smarter decision-making and innovation for a competitive edge.
Learn how techniques such as recommendation engines and clustering algorithms can be used to create personalized product experiences.
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.
Create a PRD for an AI-enabled gift recommendation system that leverages existing customer data to encourage gift purchases on an e-commerce platform
Dive deeper into each step of the supervised machine learning process, from data understanding to model evaluation, then learn how to combine these approaches with computer vision technology
Learn how data can affect the performance of an AI system and determine whether a bespoke dataset is needed, then practice developing a data annotation plan
Collaborate with stakeholders, enhance communication, and develop roadmaps for AI products. Develop skills in influencing without authority and the RICE prioritization framework.
Build a roadmap for an AI product that combines computer vision and specialized data annotation needs
Learn about text-based models and interfaces and their unique challenges and opportunities for AI products
AI is developing quickly and often sounds more like fiction than reality. In this lesson, we'll cut through the hype and focus on the real-world building blocks that make or break a great product.
Explore AI impact assessment, success metric definition, bias identification, mitigation techniques, and best practices in AI product management.
For this project, you'll choose a scenario, devise a plan to build a product that serves your target customer well, and create slides to win the support of the project's key stakeholders.