Graduate Certificate in Applied Artificial Intelligence Solutions Development (Co-Op)

About

The Applied A.I. Solutions Development program is one of the first of its kind to be offered by a Canadian college. Developed by George Brown College’s School of Computer Technology, it recognizes the industry demand for full stack data scientists who are qualified to fill the roles of data scientist, data analyst, data engineer or machine learning engineer as needed, and also apply business analysis skills to effectively communicate how artificial intelligence/machine learning/deep learning can be used in business models. In our innovative Applied A.I. Solutions Development one-year graduate certificate program, you’ll immerse yourself in a cross-disciplinary blend of computer science, mathematics and business, equipping you with the expertise to craft solutions across industries using artificial intelligence (A.I.), machine learning, deep learning and data science/analytics. This unique program merges computer science, math and business with a design-thinking approach to produce machine-learning/deep-learning models and intuitive dashboards to communicate results and findings. As a student, you’ll also receive comprehensive training in tailoring your presentations to target audiences, including technical experts, business stakeholders and potential investors. As we advance 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 one-year graduate certificate program, you’ll gain the skills to provide existing businesses and emerging startups with the tools they need to thrive in the digital revolution.

Career Path

Graduates career path includes AI Solutions Developer, Machine Learning Engineer, AI Software Engineer, Deep Learning Specialist, Natural Language Processing (NLP) Engineer, Data Scientist, Data Analyst (AI-focused), Big Data Developer, Predictive Analytics Specialist, AI Model Trainer, AI Model Validator, Model Deployment Engineer, AI Quality Assurance Analyst, MLOps Engineer, AI Performance Analyst, AI Cloud Integration Specialist, AI Infrastructure Engineer, Edge AI Developer, AI Platform Support Technician, AI Security Analyst, AI Governance and Ethics Officer, Bias and Fairness Analyst, Responsible AI Consultant, AI Product Manager, Intelligent Systems Designer, AI Innovation Strategist.