Graduate Certificate in Applied A.I. Solutions Development
- Country Canada
- Course Duration 1 year
- Course Type Full Time
- Courses Campus On Campus
- Language Specification IELTS
- Program Level Post-Graduate
- Education Required 2-Year Undergraduate Diploma
- Admission intake SEP
- Minimum GPA 50
Application Charges
| Application Fee | Tution Fee |
|---|---|
| CAD 110 | CAD 15,480 |
Application Date
| Application Start Date | Application Closing Date |
|---|---|
|
2022-12-05
|
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|
Program Description
As we advance further into this increasingly digital world, artificial intelligence and data science will revolutionize most industries by optimizing business processes and automating decision-making in many white-collar jobs. As a student in the Applied A.I. Solutions Development program, you will gain the skills needed to provide existing businesses and emerging startups with the tools required to thrive in the digital revolution.This three-semester graduate certificate program uses a hands-on, applied approach to the field of A.I., giving you the broad range of skills needed to excel in this rapidly growing industry.It teaches the development and application of machine-learning/deep-learning models and provides a fundamental understanding of the underlying mathematical algorithms that power them. This combination of knowledge and skills will allow you to identify and select appropriate algorithms for a given use, build and fine-tune models and visualize and effectively communicate the resulting data, thereby bridging the traditional roles of data scientist, machine-learning engineer and business translator.
Technology Requirements
This program requires students to have access to a personal computer with the following specifications:- 8 GB minimum (16 GB RAM recommended0
- 256 GB SSD Hard Drive (500+ GB is optimal)
- Quad-core i5/i7 2.4GHz or better
- Webcam
Your Field Education Options
In semester 3, students complete a Work Integrated Project, or qualified students are eligible for co-op. Learn more about how to qualify, apply, and important dates for co-op on the Centre for Arts, Design & Information Technology Experiential Learning page.
Program Learning Outcomes
The graduate demonstrates the ability to:
- Identify, evaluate and manage relevant data sources to support data analytics and to meet organizational needs.
- Recommend different systems, architectures and data storage technologies to support data-driven solutions.
- Develop and deploy complete machine learning/deep learning production systems for a variety of industry use cases that meet the needs of a specific operational/business process.
- Assess and apply appropriate mathematical models, algorithms, tools and frameworks to develop A.I.-enabled, industry-specific solutions.
- Design and present A.I. solutions effectively to stakeholders through the use of data visualizations.
- Apply legal, ethical, privacy and security-related standards and considerations in data science projects in a manner that protects privacy and confidentiality, addresses data bias and transparency and ensures data integrity.
- Implement artificial intelligence systems on time and budget using best practices and strategies in design thinking, project management and lifecycle management.
- Design artificial intelligence (A.I.) systems through the application of systematic approaches and methodologies to meet growing organizational needs.
Extra Notes
* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.
