Ontario College Graduate Certificate in Artificial Intelligence Software Development (Non Co-op)
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亚岗昆学院
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国际学生入学条件
An undergraduate (Bachelor`s) university degree in any discipline is required to enter the program.
Applicants with international transcripts must provide proof of the subject-specific requirements noted above and may be required to provide proof of language proficiency. Domestic applicants with international transcripts must be evaluated through the International Credential Assessment Service of Canada (ICAS) or World Education Services (WES).
IELTS-International English Language Testing Service-Overall band of 6.5 with a minimum of 6.0 in each band, OR TOEFL-Internet-based (iBT)-overall 88, with the minimum of 22 in each component: Reading 22, Listening: 22 Speaking: 22, Writing: 22.
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IDP—雅思考试联合主办方
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雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:88
- 托福笔试总分:160
- 其他语言考试:Duolingo English Test (DET) Overall 115, minimums of 115 in Literacy and 90 in Production
课程简介
The Artificial Intelligence Software Development Ontario College Graduate Certificate program is designed to prepare you to meet the increasing market demand for artificial intelligence software development expertise. Through this program, you will enhance your existing software development skills to become an AI software developer, with an in-depth understanding of the major AI technologies and how to leverage AI to solve problems.<br><br>The program explores AI using a top-down and a bottom-up approach simultaneously. You begin a deep dive into the detailed mechanisms of machine learning to acquire the skills to troubleshoot, debug and optimize machine learning and deep learning architectures. You investigate various techniques of AI and survey which types of problems are best solved using each AI technique.<br><br>Through a combination of theory-based learning and industry-based applied research AI projects, graduates possess the theoretical knowledge and hands-on skills to assess, recommend, design, implement and troubleshoot various advanced AI solutions. Graduates enter the workforce with an in-depth understanding of deep learning, reinforcement learning and knowledge representation. Together these three branches form a comprehensive view of the AI landscape, giving the AI developer the knowledge and skills required to implement solutions such as speech recognition and natural language understanding, planning, diagnosis, smart agents, machine vision, intelligent manufacturing processes and intelligent control.
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在线/远程学习
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学历文凭
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