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Best Online Python Courses for Machine Learning in Canada: 2025 Guide

As the world adapts to the latest AI innovations, the demand for Machine Learning professionals is surging globally. Canada is no exception, and this has led to an increase in AI courses in the country. One of the most popular computer programming languages taught in Canada is Python for Machine Learning. This, along with Artificial Intelligence (AI), is gaining immense popularity in the country.

AI refers to machines that simulate human intelligence. Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on developing machines to mimic the learning process of humans. According to Statista reports, the market size for Artificial Intelligence is projected to reach CAD 7.06 billion by 2025, with an annual growth rate of 26.26%.

This blog will guide you through the best courses for Python in Machine Learning in Canada, career opportunities after completing these courses, and how upGrad can assist you on this journey.

Take your skills to the next level — Explore AI/ML Courses

Python for Machine Learning: Top Online Courses in Canada

Python is one of the most preferred languages for Machine Learning globally due to its robust library and ease of use. To keep up with the growing demand, several institutions offer Python courses that focus on machine learning.

Course Duration Fees Level Key features
Liverpool John Moores University – Master of Science in Machine Learning and AI 18 months CAD 13,700 Beginner/Intermediate More than 500 hours of practical projects and learning experience
IIIT Bangalore – Executive Diploma in Machine Learning 12 months CAD 7,420 approx. Beginner More than 60 case studies and 80 AI tools
upGrad – Post Graduate Certificate in Generative AI (E-Learning) 6 months CAD 3,147.2 Beginner Learning about more than 10 AI Generative tools

Liverpool John Moores University (LJMU) – Master’s in Artificial Intelligence & Machine Learning

LJMU offers this course in collaboration with upGrad by providing industry-related projects and an optional campus experience. This course is dual-accredited by LJMU and IIIT Bangalore.

Key features of this program are:

  • Be able to build AI-powered applications
  • Work with the latest AI/ML tools
  • Experience with Large Language Models (LLM)
  • Access more than 500 hours of learning and practical projects
  • Option to choose on-campus interaction

upGrad Post Graduate Certificate in Generative AI (E-Learning)

This is a 6-month course that provides complimentary Python preparation. This course is suitable for engineers and individuals from non-technical backgrounds as well.

Key features of this program are:

  • Explore more than 10 Generative AI tools
  • Product Development and Prompt Engineering skills
  • Deploy web apps
  • Work on more than 6 Generative AI projects
  • Work on ChatGPT and Transformers

IIIT Bangalore – Executive Diploma in Machine Learning

This course, in collaboration with upGrad, offers a complimentary 3-month programming boot camp for beginners. It is suitable for Engineers, Data, and Software professionals.

Program USPs:

  • Explore Machine Learning, Generative AI, and MLOps
  • Boost GitHub knowledge
  • Develop Kaggle Portfolio
  • More than 60 case studies and 80 Generative AI tools
  • Specializations in Generative Ops or MLOps
  • Project work based on the specialization chosen

 LJMU MSML

Career Opportunities After Learning Python for ML

There are several lucrative career opportunities available for those who have learned Python for Machine Learning in Canada’s thriving AI market. Some of the job roles are-

  1. Machine Learning (ML) Engineer: They are tasked with developing and maintaining machine learning models, software development, and infrastructure. The average annual salary of an ML Engineer in Canada is around CAD 94,252.
  2. Data Scientists: They help in analyzing and interpreting data into meaningful information for decision-making. The average annual salary of a Data Scientist in Canada is around CAD 86,972.
  3. Artificial Intelligence (AI) Engineer: They are responsible for developing and training algorithms for AI. The average annual salary of an AI Engineer in Canada is CAD 105,000.

Also Read: Top AI Project Ideas for Beginners in Canada

upGrad’s Pathway to Mastering Python for Machine Learning

upGrad is one of the leading and reputable online educational platforms offering numerous courses at affordable prices. We have collaborated with leading institutions globally to ensure our students get their value for money. We offer many online AI and ML certifications for working professionals:

  • Master’s in Artificial Intelligence & Machine Learning and AI by LJMU
  • Post Graduate Certificate in Generative AI (E-Learning) by upGrad Institute
  • Executive Diploma in Machine Learning by IIITB

🎓 Explore Our Top-Rated Courses in Canada

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FAQs on Online Python Courses for Machine Learning

Q: Why is Python preferred for machine learning?
Ans: Python is the preferred language for Machine Learning because it is-

  • Easy to use.
  • Flexible.
  • Has strong community support.

Q: What are the top Python libraries used in ML?
Ans: Some of the top Python libraries used in ML are-

  • Scikit-Learn.
  • NumPy.
  • Pandas.

Q: Are there free Python ML courses available online?
Ans: Yes, there are several free Python Machine Learning courses available online. Some of the free courses offered on platforms like upGrad are:

  • Learn Basic Python Programming
  • Programming with Python: Introduction for Beginners

Q: Can I learn Python ML without prior coding experience?
Ans: Yes, you can learn Python for Machine Learning without any prior coding experience, as Python is a user-friendly language. You can find numerous online courses and support resources to help you learn.

Q: How long does it take to learn Python for ML?
Ans: If you want to learn Machine Learning with Python, you need to dedicate at least 2-6 months. It may take nearly 12 months to become an expert.

Vamshi Krishna sanga
Vamshi Krishna sanga
Vamshi Krishna Sanga, a Computer Science graduate with a master’s degree in Management, is a seasoned Product Manager in the EdTech sector. With over 5 years of experience, he's adept at ideating, defining, and delivering E-learning Digital Solutions across various platforms
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