The AI Product Manager Nanodegree Program offers a comprehensive overview of AI and machine learning for business. It covers the basics of AI, how to leverage existing datasets with AI, how to collect or create bespoke datasets for custom AI applications, and how to use the latest Generative AI technologies. In the first project, learners will create a Product Requirements Document (PRD) for a product that incorporates AI personalization and forecasting. Then, in the second project, learners will develop a roadmap for an AI product that requires custom data annotations. Finally, in the third project, learners will build a product strategy for incorporating Large Language Models (LLMs) into an existing product, including plans for measuring both performance metrics and bias metrics.
Overview
Syllabus
- Welcome to the AI Product Manager Nanodegree Program
- Leveraging Data with AI
- 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.
- Bespoke Datasets for Multimodal AI Products
- This course is for product managers who want to build AI products that include multimodal data such as text, video, and audio. Leveraging existing data for AI applications is a great way to get started, but bespoke datasets can offer improved accuracy, domain specificity, and, ultimately, a competitive advantage. The course starts with an overview of supervised machine learning techniques, computer vision—the technology that allows computers to "see"—and how computer vision and supervised ML can be combined. Then, you'll learn more about how to create bespoke datasets for computer vision and other applications, and conclude with a walkthrough of the key stakeholders involved in AI product development. In the project, you'll develop a roadmap for an AI-powered video creation app.
- Generative AI Products
- This course is for product managers who are building products that contain GenAI features. It starts with teaching some underlying principles about LLMs and conversational AI, then looks at specific ways GenAI can be used in different product features, and what metrics can be used to measure the performance of GenAI features (including information retrieval accuracy and fairness/bias metrics). The course concludes with a project in which you’ll draft a proposal for a GenAI-powered product.
- Career Services
Taught by
Alyssa Simpson-Rochwerger, Kiran Vajapey, Kirsten Gokay and Meeta Dash
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Reviews
4.9 rating, based on 8 Class Central reviews
4.4 rating at Udacity based on 322 ratings
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Karlos MoraisExcellent course, it has met my expectations very well. Very happy to take this course. It has added a lot to my professional career.
The curriculum is excellent. The classes are very assertive, without fuss. Content very well prepared, with good quizzes. In addition to the projects being very challenging, but of course with all the support of the mentors. -
The programme started with a challenging project work. When it comes to sending assignments to Udacity, you'll never know the end result, as they are very demanding. But, when you receive the feedback, and you passed the examination, you feel very proud of yourself and confident that the project enriched your skill set
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It was all very interesting and clear. The projects to be carried out are very engaging. I believe I have learned a lot. Thanks
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This has been a wonderful class so far! I have enjoyed learning about the fundamentals of AI, and this class is prepping me to get into product management. The videos are broken into small sections, which makes it easy to stop and go as you please. There is a chat room for students, which can be a great resource. My current project is to work on Google ML, so I think this is a great way to learn new skills for people.
If you are interested in taking a two month course for AI, this is a great fit! -
This course is thorough, equipping PMs with the understanding of both conceptual AI principles and methods and real-world application of what is being taught. The projects help deeply ingrained AI product practices which enables the learner to transfer the applied knowledge directly to his/her product and business space.
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"The project review was really useful for me, it showed me the details I had to improve in my project, as well as gave me the overall overview of my work. Thank you again "
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As a student who has finished the first 1/3 of the nano degree I can say that this is a good intro for anyone new to the ML field and interested with no coding experience needed.
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"The program is great with a great content! I have learned so many useful things that can be applied professionally. Thank you very much!"
