Applied Machine Learning Bootcamp Project
PROJ 011
Students from the SAIT's Applied Machine Learning Bootcamp and our Applied Product Management Bootcamp participate in a 78 hour interdisciplinary machine learning capstone project. This project culminates in the development of a machine learning model that predicts, detects, or forecasts an entity. The data for the use case could be images (computer vision), text (natural language processing), time series (multi-variate or univariate), or tablular data. The data format would be a folder of images or comma-separated values (CSVs) for text, time series, or tablular data. The client will need to:1) Provide a clearly defined machine learning problem. 2) Explain how the client intends to use the solution.3) Explain why this problem needs to be solved.4) Provide a subject matter expert that can be a touch point for the student and answer questions related to the data and use case.
Applied User Experience (UX) Design Bootcamp Project
PROJ 012
Participating as an Industry Partner will bring new perspectives to your current product development process. If you are new to the world of UX design, you will have the opportunity to collaborate and experience what it’s like to have a designer on the team. The discovery artifacts and the MVP prototype you end up with will be a great resource for you and your team to build upon or iterate from as your product evolves over time.If you already have a design team, this is a great chance to bring in a fresh set of eyes, who is bias free towards your product and eager to make a positive impact. This collaboration may also highlight opportunities to improve your current workflows.
Applied User Experience (UX) Design Bootcamp Project
PROJ 012
Participating as an Industry Partner will bring new perspectives to your current product development process. If you are new to the world of UX design, you will have the opportunity to collaborate and experience what it’s like to have a designer on the team. The discovery artifacts and the MVP prototype you end up with will be a great resource for you and your team to build upon or iterate from as your product evolves over time.If you already have a design team, this is a great chance to bring in a fresh set of eyes, who is bias free towards your product and eager to make a positive impact. This collaboration may also highlight opportunities to improve your current workflows.
Applied Machine Learning Bootcamp
DIGI 004
Students from the SAIT's Applied Machine Learning Bootcamp and our Applied Product Management Bootcamp participate in a 78 hour interdisciplinary machine learning capstone project. This project culminates in the development of a machine learning model that predicts, detects, or forecasts an entity. The data for the use case could be images (computer vision), text (natural language processing), time series (multi-variate or univariate), or tablular data. The data format would be a folder of images or comma-separated values (CSVs) for text, time series, or tablular data. The client will need to:1) Provide a clearly defined machine learning problem. 2) Explain how the client intends to use the solution.3) Explain why this problem needs to be solved.4) Provide a subject matter expert that can be a touch point for the student and answer questions related to the data and use case.
Applied Machine Learning Bootcamp
DIGI 004
The Southern Alberta Institute of Technology and Braintoy are partnering in the delivery of a 12 week Applied Machine Learning Bootcamp. Our students engage in an individual final machine learning project that spans 3 weeks. This project culminates in the development of a machine learning model that predicts, detects, or forecasts an entity. The data for the use case could be images (computer vision), text (natural language processing), time series (multi-variate or univariate), or tablular data. The data format would be a folder of images or comma-separated values (CSVs) for text, time series, or tablular data. The client will need to:1) Provide a clearly defined machine learning problem. 2) Explain how the client intends to use the solution.3) Explain why this problem needs to be solved.4) Provide a subject matter expert that can be a touch point for the student and answer questions related to the data and use case.
Data Analytics Capstone Project
PROJ 006
Are you a firm that is looking to explore the value of data analytics? Students in the SAIT Data Analytics certificate are trained in data extraction and transformation as well as data preparation, data modeling and reporting on pre-existing data gathered by the organization. These students will work with your organization to analyze your data sets and provide any recommendations they may have as a result of the analysis.