Ontario College Graduate Certificate in Artificial Intelligence Software Development (Non Co-op)
  • 学历文凭

    Graduate Certificate

  • 专业院系

    人工智能与机器人

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Ontario College Diploma, Ontario College Advanced Diploma, Degree or equivalent in Computer Science or a related field with software development education.

IELTS-International English Language Testing Service (Academic) Overall band of 6.5 with a minimum of 6.0 in each band, OR TOEFL-Internet-based (iBT)-overall 88, with a minimum of 22 in each component: Reading 22, Listening 22, Speaking 22: Writing 22,
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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 120, minimum of 120 in Literacy and no score below 105.
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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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