Is your organization looking to analyze or test systems' and applications' security? In this course, students from SAIT will work with your organization to solve a problem or opportunity of your choosing related to cybersecurity. Students will work in teams applying critical thinking, skills and knowledge learned in the Information Security Analyst (ISA) program to develop a product of your choosing from concept to implementation. In this SAIT training program, students are developing the knowledge, skills, and aptitude to apply fundamental principles of cybersecurity to support business decision-making processes. Training Components: Advanced Networking Security Standards & Compliance Frameworks Security Risk Identification Data & Network Security Intelligence Security Tools Web & Application Security Global Information Security Acumen Security Risk Management

Is your organization looking to explore the value of data analytics? Students will work in teams applying critical thinking, skills and knowledge learned in their 12-week Data Analytics program to solve a problem or opportunity in your organization related to data. Using a data set provided by your organization, students will use data analysis methods to help you and your organization derive insights and make more informed decisions. Training Components: Querying data using SQL scripting. Data Visualization - present data to communicate data analysis effectively and accurately. Python Programming Language - basic data science techniques using Python MS Excel - using Power Pivot and Power Query Database concepts - how to design and implement databases to maintain data integrity. Cloud principles - managing data in the cloud through Microsoft Azure.

Is your organization looking to explore the value of data analytics? Students will work in teams applying critical thinking, skills and knowledge learned in their 12-week Data Analytics program to solve a problem or opportunity in your organization related to data. Using a data set provided by your organization, students will use data analysis methods to help you and your organization derive insights and make more informed decisions. Training Components: Querying data using SQL scripting. Data Visualization - present data to communicate data analysis effectively and accurately. Python Programming Language - basic data science techniques using Python MS Excel - using Power Pivot and Power Query Database concepts - how to design and implement databases to maintain data integrity. Cloud principles - managing data in the cloud through Microsoft Azure.

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.