5 Courses Required
 
 

Official Description

This 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 AI developers. The program aims to develop the skills required to evaluate, design, develop and improve AI algorithms through hands-on projects and problem solving. Participants are expected to develop a portfolio of AI projects during the course of the program. 

The program is offered in English and must be completed within 2 years.

 

 

Learning Outcomes

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.
 

Who Should Attend

Professionals who have already completed McGill's School of Continuing Studies Professional Development Certificate in Data Science and Machine Learning and who are seeking to take their machine learning skills to the next level. Software developers with prior experience in data science, machine learning and strong programming skills in Python.

Additional Details

Application

Program
Professional Development Certificate in Applied Artificial Intelligence
Admission Requirements
  • A minimum of a Bachelor's (or higher) degree or equivalent in one of the following areas: Engineering, Computer Science, Software Engineering, Mathematics, Physics, Statistics or a related discipline. 

AND

  • Prior experience in Machine Learning and strong programming skills in Python. Applicants must complete: 

NOTE: Applications from mature students (21 years of age or older) who do not meet the above criteria but have extensive and relevant experience in software development, machine learning, data science, and have previously completed relevant coursework in calculus, statistics, machine learning will be evaluated on a case by case basis. 


Documents required:

Please have electronic versions of the following documents available before starting the application process (clicking on “Apply Now”).
 
  • A copy of your passport (photo ID page) OR Canadian Birth Certificate OR Permanent Resident Card OR Citizenship Card/Certificate.

AND

For applicants with a minimum of a Bachelor's (or higher) degree or equivalent in one of the following areas: Engineering, Computer Science, Software Engineering, Mathematics, Physics, Statistics or a related discipline

  • A letter of intent.
  • A copy of your curriculum vitae (CV).
  • A copy of your degree transcript AND a copy of your diploma. Note that transcripts in languages other than English or French must be accompanied by an English or French translation provided by the institution issuing the transcript or by a certified translator.

For mature applicants who do not hold a Bachelor's (or higher) degree or equivalent in the listed areas BUT have extensive and relevant experience in software development, machine learning, data science AND have previously completed relevant coursework in calculus, statistics or machine learning

  • A letter of intent.
  • A copy of your curriculum vitae (CV).
  • A copy of your transcript for your highest level of education, as well as a copy of your diploma (if applicable). Note that transcripts in languages other than English or French must be accompanied by an English or French translation provided by the institution issuing the transcript or by a certified translator.

Courses

Minimum

2 Course(s)

Minimum

3 Course(s)

Required fields are indicated by .