Overview
As the landscape of AI continues to evolve rapidly, this AI Product Manager course will equip you with the skills needed to define the success of machine learning products. From gaining insights into AI basics and business value derivation this program will empower you to make informed decisions regarding AI utilisation.
This program encompasses fundamental concepts of AI, crafting business rationale for AI implementation and gauging its effectiveness. You’ll acquire skills in developing data sets, crafting annotation guidelines, and constructing classification systems as well as constructing and redefining AI models, assessing outcomes, and determining their significance.
This AI Product Manager course will be delivered to you in partnership with Udacity, meaning you'll have access to both Udacity's learning and career services as well as RMIT Online's course enablement support through our Learner Success team.
Recognition
After completing an RMIT Future Skills course, you will earn an RMIT credential which can be validated, recognised and shared on social media platforms.
Content
By the end of this course, you’ll be able to:
- Decide to use an unsupervised, supervised or deep learning model when approaching a specific problem
- Design a data annotation job to create a novel dataset
- Build predictive models using automated machine-learning tools
- Compare the performances of learned models using suitable metrics
- Prototype, test, and iterate on an AI product
How does it work ?
During this course, you will have the opportunity to demonstrate your newly acquired AI product manager skills through three projects.
In your first project, you'll create a Medical Image annotation data set with Appen. In the second you'll build a model with Google AutoML, and in your capstone project, you will develop a business proposal for an AI product for a use case of your choosing.
