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Professional Development Certificate in Applied Artificial Intelligence

在麥吉爾大學
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Canada

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課程級別

碩士證書

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1 Year(s)

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28 August 2024

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6.5 IELTS

This advanced and practical non-credit professional development certificate program is designed to equip professionals with actionable industry-relevant knowledge and skills required to be fully functional data scientists and Al developers.
This advanced and practical non-credit professional development certificate program is designed to equip professionals with actionable industry-relevant knowledge and skills required to be fully functional data scientists and Al developers. The program aims to develop the skills required to evaluate, design, develop and improve Al algorithms through hands-on projects and problem solving. Participants are expected to develop a portfolio of Al projects during the course of the program.

Upon completion of this program, you should be able to:
Evaluate and select the appropriate algorithm or model to solve an Al problem
Analyze errors and design strategies to solve them
Integrate recent advancements in machine learning and artificial intelligence in the data analysis process
Apply advanced strategies and methods to optimize machine learning models
Design and construct software systems that implement machine learning models and artificial intelligence algorithms.

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  • 課程總長: 1 Year(s)
  • 費用: 無法取得
In學年take 位置
Fall (August), 2024 Montreal
Fall (August), 2025 Montreal
Fall (August), 2026 Montreal

Entry requirements for 麥吉爾大學

McGill's School of Continuing Studies Professional Development Certificate in Data Science and Machine Learning,
A minimum of a Bachelor's (or higher) degree or equivalent in one of the following areas: engineering, computer science, software engineering, mathematics, statistics or a related discipline,
As well as prior experience in machine learning and strong programming skills in Python.
And an online skills assessment test in machine learning and Python OR YCBS 255 Statistical Machine Learning course.

TOEFL iBT (Test of English as a Foreign Language – Internet-based Test) - Minimum acceptable scores are: 90 overall (a minimum individual component score of 21 in each of the four components – reading, writing, listening and speaking). IELTS (International English Language Testing System) Academic Versions - A band score of 6.5 or better, individual component scores must be 6.0 or better. Regular Academic and UKVI Academic versions are both accepted.

English language requirements

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