
Graduate Certificate - Artificial Intelligence Development and Applications (PAIDA) (Optional Co-op)







About Graduate Certificate - Artificial Intelligence Development and Applications (PAIDA) (Optional Co-op)
Become a skilled AI professional
Help fill Canada's need for skilled professionals who can build and operate artificial intelligence (AI) systems. This program will teach you core technical skills in AI and machine learning, and how to create solutions to real-world problems. You'll also learn how to apply those solutions in ethical ways that protect people and businesses.
Learn about many areas of AI and data science
In your first semester, you'll study the basics of data analysis and AI principles. You'll then build on that knowledge with advanced skills in programming, data analysis, AI model development, machine learning, data visualization and more. This program also integrates other disciplines such as cloud computing and Internet of Things (IoT) systems, preparing you to work in a broad range of industries.
Hands-on experiences that make you job-ready
Gain experience and build industry connections before you graduate. Apply your skills through class projects solving real-world problems, and practice integrating AI systems with business workflow through a capstone project. You'll then spend your final semester completing a co-op placement or workplace simulation to help you understand industry demands and expectations.
Preparation for industry certifications
As a graduate of Sheridan’s Artificial Intelligence Development and Applications graduate certificate program, you'll be prepared to earn industry-recognized certifications, including:
- Certified Analytics Professional (CAP)
- Google Cloud Professional Machine Learning Engineer
- Microsoft Certified: Azure Al Engineer Associate
- Certified Data Scientist (CDS)
This program aligns with best practices set forth by globally recognized associations such as the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM) in the fields of AI, machine learning and data science.
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