About the course

The Artificial Intelligence with Machine Learning Ontario Graduate Certificate was developed to fill the need for a growing and in-demand skillset. Designed for students with experience in computer programming, software development or computer science, students learn the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML) to apply AI models and ML algorithms to a broad range of practical applications including natural language processing, image processing, computer vision and for business decision making. Students will also gain experience in applying AI tools in data analytics and data mining. Technical skills will be complemented by knowledge in regulations, policy and ethics in applying AI technology, as well as project management, communication and teamwork skills.

　　In the final semester, learners complete an industry-supervised capstone project to solve real-world problems and to showcase skills and knowledge that they have learned in the program. Their projects are showcased at an exhibition event to industry partners, community leaders, faculties and peer students. The program also provides opportunities to engage with a broad community and industry network through guest speakers, network events and applied research in collaboration with industry partners

　　Upon successful completion of the program, a graduate will:

　　Design and implement secure artificial intelligence and machine learning software systems and applications using data science, mathematics, data mining principles, algorithms and tools to meet client needs.

　　Defend the algorithms and models used to solve problems in artificial intelligence and machine learning projects through clear and accurate written and verbal presentations to stakeholders.

　　Comply with corporate policies, ethical standards, and industry and government regulations, in implementing artificial intelligence solutions.

　　Evaluate industry trends and emerging technologies in artificial intelligence and machine learning to inform personal and business practices and maintain currency and relevancy in the field.

　　Design and apply artificial intelligence and machine learning algorithms and models to solve problems and meet the specified needs of a client or stakeholder.

　　Apply project management principles and methodologies to manage the timelines, cost, scope and other resources of artificial intelligence projects.

　　Recommend the system infrastructure, including the necessary architecture and storage technology, that meets the needs of an Artificial Intelligence application. Scholarships - View all scholarships Internships

　　

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

　　Duration: 2 Semester(s)Fees: Not available

Intake	Location
Winter (January), 2024	Toronto
Summer (May), 2024	Toronto
Fall (September), 2024	Toronto
Fall (September), 2024	Toronto
Winter (January), 2025	Toronto
Winter (January), 2025	Toronto
Winter (January), 2025	Toronto
Summer (May), 2025	Toronto
Summer (May), 2025	Toronto
Summer (May), 2025	Toronto
Fall (September), 2025	Toronto
Fall (September), 2025	Toronto

　　

How to apply

Entry requirements for Humber Institute of Technology & Advanced Learning

A bachelor?s degree

　　Duolingo Language Test Scores - 125 and above

　　IELTS - Overall 6.5 and No band below 6.0

　　TOEFL iBT - 88 (Minimum 22 in each component)

　　TOEFL PBT - 580

　　

English language requirements

　　6.5

　　Overall IELTS band score

　　Book IELTS

　　About IELTS

　　Practice and prepare

　　TOEFL Internet based overall score: 88.0

　　

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

　　

Further information

Career outcomesIf you aren’t eligible for the above entry requirements, you might want to explore pathway options at Humber Institute of Technology & Advanced Learning. If you want to find out more, please speak to our counsellors.

　　Pathway options to study at this institution

　　

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