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.
Overview
Syllabus
- Welcome to the AI Product Manager Nanodegree Program
- Leveraging Data with AI
- Explore how AI supports product workflows through machine learning use cases, recommendation systems, and forecasting models. Translate data requirements, performance metrics, and AI capabilities into structured product requirements.
- 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.
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 340 ratings
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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! -
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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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!"
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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
