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McGill SCS Professional Development Certificate in Applied Artificial Intelligence

The Professional Development Certificate in Applied Artificial Intelligence is an advanced and practical program designed to equip professionals with actionable industry-relevant knowledge and skills required to be senior data scientists or 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. 



Type:   Professional Development Certificate
Courses:   5
Schedule:   Part-time
Time:   Weekday evenings
Delivery:  Online
Unit:   Technology and Innovation

info.conted [at]





Key Features
  • This program allows you to engage in hands-on projects and problem-solving scenarios where you will acquire the skillset necessary to design, control and optimize advanced software systems using machine learning and artificial intelligence.
  • You will have access to a wide variety of technical toolset that will enable you to work efficiently and effectively. Python is the primary programming language used during this program, and some of the tools, libraries and platforms you will engage with are Jupyter Notebook, Pytorch, Tensorflow, Git, Github and OpenAI gym, among others.
  • In this program, you will be able to connect with other professionals and researchers in artificial intelligence and machine learning, fostering new networks and collaborations and expanding your knowledge with valuable insights from peers and industry experts.

Career Spotlight

Artificial Intelligence is a field that covers many different areas such as genetic algorithms, deep learning, and generative AI. It also includes different applications such as recommender systems, computer vision, natural language processing, Internet of Things and autonomous agents.

The AI field is experiencing an incomparable rise and consolidation. By 2025, the global AI market is expected to be worth $US 390 billion and Canada will be a hotspot for AI research and businesses. The 2019 Global AI Talent Report ranks Canada at #5 for the number of high-impact AI researchers and for AI-related job openings. Adding to this promising scenario, the big data and business analytics market will be worth US $665.7 billion by 2033 according to data from Allied Market Research. This evidence shows that these fields will continue providing countless opportunities for individuals and enterprises who choose to invest in artificial intelligence and data science skills.

In this program, you will build on your existing machine learning knowledge and take your knowledge to the next level developing and implementing state of the art algorithms and techniques found in the industry. The program aims to provide learners with the needed competencies and skills to enter this industry in a variety of roles, such as:

  • Machine Learning Specialist
  • Data Scientist
  • AI Consultant
  • AI Data Analytics Expert
  • AI Sales Specialist
  • Business Intelligence Developer
  • Big Data Architect
  • Data Analyst

Message From the Academic Program Coordinator

In the constantly evolving field of Artificial Intelligence, staying ahead means constantly engaging with new ideas and technologies. This engagement is the cornerstone of our Professional Development Certificate in Applied Artificial Intelligence. Our focus on hands-on projects using Python and different techniques and algorithms ensures that you gain practical skills along with theoretical knowledge. These projects and problem-solving scenarios will enable you to acquire the skillset necessary to design, control and optimize advanced software systems using machine learning and artificial intelligence.

Join a community of diverse professionals, learning from seasoned professionals and enriching each other’s experiences. Build connections with peers and industry experts, opening doors to collaborative opportunities and new insights.

Nabil Beitinjaneh, BEng, MBA, CBDA

Headshot of Nabil Beitinjaneh

Who Should Apply

This program is a good fit for you if you are:

  • Have working experience in Data Science and Machine Learning and are seeking to learn more and deepen your knowledge about different areas of Artificial Intelligence and how to deploy models.  
  • Have already completed the McGill School of Continuing Studies Professional Development Certificate in Data Science and Machine Learning and are seeking to take your machine learning skills to the next level.

It is also suitable for: 

  • Software developers
  • Data scientists
  • Machine learning specialists
  • Python programmers

Learning Outcomes

The program will enable you 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.

Delivery Format and Schedule

This program is offered virtually. 

Classes are held at the same time each week in a live virtual meeting room. Activities may include the use of web-based tools. Students are not required to be physically present on campus. 

Classes are generally scheduled during weekdays from 6 to 9 p.m. ET. 


Admission Requirements

Applicants who are interested in this program must:

  • Have completed the McGill SCS Professional Development Certificate in Data Science and Machine Learning

Or fulfill the following requirements:

  1. 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.
  2. Prior experience in machine learning and strong programming skills in Python.
  3. An online skills assessment test in machine learning and Python OR the course YCBS 255 Statistical Machine Learning course.

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. 

News and Articles

Artificial Intelligence: Next generation
Despite making up almost 50 percent of the overall workforce, women represent less than 30 percent of data and AI positions in Canada. Can the industry change?

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