The AI Product Manager Nanodegree Program offers a comprehensive overview of AI and machine learning for business. It covers the basics of AI, creating a business case for AI, and measuring success. Learners will also learn to create a high-quality dataset, design annotation instructions, and build a medical imaging classification system. The program covers building and training AI models, evaluating results, and measuring impact. The capstone project involves developing a business proposal for an AI product, defining success metrics, scoping the dataset, planning model development, and building a monitoring plan.
Overview
Syllabus
- Introduction to AI in Business
- Learn the foundations of AI and how these technologies can learn from data and improve or inform product development.
- Creating A Dataset
- Build a custom data annotation job to create novel datasets.
- Build A Model
- Learn how to train and evaluate a neural network using automated machine learning tools.
- Measuring Impact and Updating Models
- As a product manager, you should be constantly looking to improve your machine learning models and product; learn strategies to mitigate bias, scale a product, and continuously update a model.
- Career Services
Taught by
Alyssa Simpson-Rochwerger, Kiran Vajapey, Kirsten Gokay and Meeta Dash
Related articles
Reviews
4.9 rating, based on 8 Class Central reviews
4.4 rating at Udacity based on 268 ratings
-
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
-
It was all very interesting and clear. The projects to be carried out are very engaging. I believe I have learned a lot. Thanks
-
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. -
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.
-
"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 "
-
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.
-
"The program is great with a great content! I have learned so many useful things that can be applied professionally. Thank you very much!"
