AI & ML Certification Online for Professionals in Canada – AI/ML Programs

Stay ahead in Canada’s fast-evolving technology landscape with upGrad’s AI and ML certifications designed for professionals aiming to transform data into strategic business solutions. These programs provide practical, industry-relevant skills to empower learners to innovate and lead in Canada's digital economy.

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Machine Learning and AI

Liverpool John Moores University

GenAI Integrated curriculum

Master of Science in Machine Learning & AI

Masters
18 Months
IOA Accredited

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IIIT Bangalore

20+ Programming and Gen AI tools

Executive Diploma in Machine Learning and AI

Diploma
12 Months
600+ Hours of Learning

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Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.

Machine Learning and AI Programs: Key Details at a Glance

1. Machine Learning and AI Programs: Key Details at a Glance

Approximately USD 18.8 billion was the revenue that Canada generated from Artificial Intelligence in 2023. As per projections, it is likely to reach USD 152.7 billion by 2030, reflecting a 34.9% CAGR. Artificial Intelligence and Machine Learning, which is a branch of AI, are increasingly shaping how businesses run and tasks are performed in Canada.

Machine Learning (ML) is a branch of Artificial Intelligence (AI) that utilizes algorithms and data to enable AI systems to create self-learning models. Machine learning allows for the analysis of data without being explicitly told what technique to apply when performing data analysis. If you want to upskill in AI and Machine Learning, then follow a track that represents a structured learning pathway based on a curriculum that is industry relevant, to learning the foundations of AI, programming, math, etc., and electives. upGrad offers online learning programs for professionals in Canada that take them to the next level of AI and ML upskilling through the best programs and practices.

2. Online Machine Learning Courses In Canada - A Quick Overview

Why Pursue Machine Learning Courses in Canada?

Canada is a hub of AI and ML technologies, with nearly 3 out of 5 professionals involved in occupations that expose them to the AI & ML field. With AI capabilities emerging, evolving, and becoming easily accessible to one and all, more and more businesses are embracing these technologies to enhance and improve their function and grow their business.

Here are a few reasons to study AI and Machine Learning courses in Canada:

Flourishing Technical Ecosystem: Canada has established itself as a global leader for innovation in AI with systemic government support and increasing demand across industries
High-Paying Career Opportunities: Jobs in AI and ML offer competitive salaries for their professionals.
Access to High-Quality Learning Opportunities: Students can learn through leading universities and a variety of institutions globally, with a flexible online format aligned with industry needs.
Future-Proof Your Career: They can develop in-demand skills in machine learning, deep learning, and generative AI to acquire meaningful employment in an increasingly automated world.

Who Should Consider a Machine Learning Course in Canada?

Whether you are new to AI and ML or aiming to enhance your expertise, upGrad’s machine learning programs allow you the flexibility and industry-relevant curriculum to support your journey in this field in Canada.

Machine learning and artificial intelligence courses are ideal for:

New Learners: Those who are starting their journey can initiate with a clear, guided introduction to an AI and ML course.
Career Advancers: Professionals looking to enhance their skills through flexible, practical online courses tailored to them can join these programs.
Aspiring Experts: Graduates aspiring to enter Canada’s booming data science and AI job market can explore these courses.
Strategic Leaders: Senior professionals and leaders who use AI-driven insights to make informed, data-powered decisions can enroll in these programs.
Innovators & Founders: Individuals seeking to leverage AI and ML to develop cutting-edge solutions that drive business growth.

Machine Learning Eligibility & Admission Criteria

The eligibility and admission requirements for AI and Machine Learning courses in Canada are designed to align with industry needs and welcome learners from different educational and professional backgrounds. While details may differ depending on the institution, the standard requirements include:

Eligibility: You must have a minimum of 50% (or equivalent) in a Bachelor’s degree, preferably in Mathematics, Statistics, or a related field. Having one year of work experience in programming, analytics, or a similar area is a plus.
Prerequisites: Being familiar with programming languages like Python and having exposure to statistics, data structures, machine learning algorithms, and concepts can help.
Course Duration: Most programs last between 6 months and 2 years, depending on the course and the university/institution.

Market Demand for Machine Learning Graduates in Canada

Machine Learning graduates in Canada are in great demand across sectors and industry verticals. There has been a significant surge in demand for machine learning professionals requiring core AI skills in Canada's technology industry, with a 37% increase in job postings from 2018 to 2023. This growth is driven by the widespread adoption of AI across various sectors, including finance, healthcare, and technology.

Here are some key reasons for the market demand for AI and ML professionals in Canada:

Increasing Adoption of AI and ML Across Industries:

Healthcare, finance, retail, and manufacturing sectors are rapidly adopting AI and ML solutions to enhance operational efficiency and decision-making.

Talent Shortage:

There is a discrepancy between the increasing demand for skills in AI and the relatively small pool of qualified candidates in the market.

Support and Innovation Programs:

Canada's federal and provincial governments are investing heavily in AI-related research, infrastructure, and education to establish Canada as a global tech powerhouse.

Data-Driven Decision Making:

Organizations are leveraging machine learning to extract actionable insights from vast amounts of data, enabling them to develop an intelligent data strategy and gain a competitive advantage.

Rise of Startups and Tech Hubs:

The growth of AI-driven startups across the country and in Toronto, Montreal, and Vancouver in particular, is creating an expedited demand for ML specialists to support innovation and growth.

Career Opportunities in Canada with a Machine Learning certificate

Canada has emerged as a global hub for artificial intelligence (AI) research, offering strong career growth prospects. Over the next five years, the sector is projected to generate more than 35,000 new AI and machine learning jobs. Building a career in AI here provides opportunities to work alongside leading researchers, industry innovators, and government organizations.

Here are some career opportunities:

Machine Learning Engineer – Responsible for designing and deploying machine learning models for real-world applications.
Data Scientist – They analyze data, build predictive models, and deliver business insights.
AI/ML Research Assistant – These professionals support advanced research projects in universities or labs.
Business Intelligence (BI) Developer – BI professionals are responsible for turning data into actionable insights for decision-making.
Data Analyst – A Data analyst interprets complex datasets and creates reports for companies.
AI Product Manager – AI product managers oversee the development and deployment of AI-driven products.
Computer Vision Engineer – These professionals work on image/video recognition, autonomous systems, and healthcare imaging.
Natural Language Processing (NLP) Specialist – NLP specialists develop chatbots, voice assistants, and text analysis systems.
Big Data Engineer – They are responsible for handling large-scale datasets and optimizing pipelines for ML projects.
AI Consultant – These professionals advise businesses on integrating AI/ML solutions into operations.

Skill Sets Required for Success in the Machine Learning Field

To succeed in Canada’s rapidly growing AI and machine learning field, professionals need both technical skills and strong analytical thinking. Whether you are starting or upgrading your skills mid-career, gaining a solid foundation in machine learning can give you a clear advantage in the Canadian job market.

Here are the key skills required to succeed in the ML learning industry:

Programming Skills: You need proficiency in Python, R, or Java Programming for building AI and ML models.
Mathematics & Statistics: Need a good grasp of algorithms, probability, model performance, linear algebra, and statistical modeling.
Data Handling & Preprocessing: Need the ability to clean, transform, and extract value from raw data.
Machine Learning Algorithms: Candidates must have the capability to build predictive and classification models.
Problem-Solving Mindset: This is a key skill required for applying AI to business or industry-specific challenges.

3. Machine Learning Course Details for Learners in Canada

Machine learning courses in Canada are intended to offer a foundation of technical and analytical skills in demand by potential learners. The course delivery includes foundational ML propositions, practical projects, and applications from the industry, designed to prepare students for career opportunities in Canada's vibrant and growing ecosystem surrounding Artificial Intelligence.

Overview of Machine Learning and AI Program Curriculum and Course Structure

Here’s an overview of Machine Learning and AI Program Curriculum:

Advanced Math and Programming: Build a strong foundation in linear algebra, calculus, probability, and programming languages like Python and R, essential for ML model development.
Data Analysis and Exploration: Focuses on collecting, cleaning, and visualizing data to uncover patterns and prepare datasets for machine learning applications.
Cloud Computing and Big Data: Learners understand how to work with large-scale datasets using cloud platforms and big data tools for efficient storage, processing, and analysis.
Foundations of ML: Covers supervised and unsupervised machine learning, model evaluation, and optimization techniques for solving real-world problems.
Deep Learning and NLP: Explores neural networks, computer vision, and natural language processing to
develop applications like chatbots, image recognition, and recommendation systems.
Research Methodologies: Introduces academic and industry research methods, helping learners critically evaluate AI advancements and design innovative solutions.
Master’s Dissertation: A capstone project where students apply their knowledge to an independent research problem, often in collaboration with industry partners.

Core Topics Covered in the Online AI/ML Courses

Core Topics Covered in the Online Machine Learning and Artificial Intelligence Courses Include:

Linear Algebra, Probability & Statistics
Python/R Programming
Data Cleaning, Visualization & Feature Engineering
Big Data Tools & Cloud Platforms, such as Hadoop, Spark, AWS, and Azure
Supervised & Unsupervised Learning
Model Evaluation & Optimization
Neural Networks & Deep Learning Architectures
Natural Language Processing
Computer Vision Applications
Research Design & Methodologies
Ethics & Responsible AI
Capstone/Dissertation Projects

AI/ML Specializations and Elective Options

AL and ML Specializations:

Natural Language Processing (NLP)
Computer Vision
Deep Learning
Data Science and Analytics
AI for Business
Robotics and Autonomous Systems
Healthcare AI
MLOps
Generative AI

Elective Courses:

AI Ethics and Policy
Big Data and Cloud Computing
MLOps & Model Governance
Reinforcement Learning
AI in Finance and Marketing

Hands-On Projects and Practical Experience

Hands-on projects and practical experiences may include:

Using datasets from finance, healthcare, retail, and social media for practical work.
Using standard tools and languages from the industry, including Python, TensorFlow, PyTorch, Scikit-learn, and cloud providers (AWS, Azure, GCP).
Building a capstone project based on an end-to-end project you would do in the workplace, including data preprocessing, model building, evaluation, and deployment.
Gaining hands-on experience with group projects and case studies prepares you for a career in the industry.

Fee, Duration, and Flexibility of the Online Machine Learning Courses

Program

Type

Duration

Flexibility

Master of Science in Machine Learning & AI

Master’s Program

18 Months

Online learning with an optional on-campus Immersion facility

Executive Diploma in Machine Learning and AI

Diploma Program

12 Months

- 100 % online

- Flexible online learning designed for working professionals.

4. upGrad’s Online Machine Learning and AI Certificate Highlights

Here are some key highlights of upGrad’s Online Machine Learning and AI Certificate programs:

Area	Highlights
Program Options	Multiple programs are available, including Master’s programs, Diplomas, Certifications, and Bootcamps
Curriculum	The curriculum includes both foundational and advanced topics, such as Generative AI. Also, there are hands-on projects like building Gen-AI applications, such as chatbots.
Learning Form	Fully Online with complete flexibility for working professionals
Duration	Programs range from short-term (5-6 months) to longer ones (12-18 months).
Certifications and Credentials	On completion, you receive certificates from upGrad Institute.

5. Top Universities and Institutions Offering Online AI & ML Certification in Canada

If you are thinking of enhancing your technical expertise in AI, Machine Learning tools, and technologies, enrolling in an online Machine Learning course from one of Canada’s leading universities is a great opportunity. You will build practical skills, learn how to apply ML to deal with practical business problems, and earn a respected credential that employers across the industry value.

University/ Institute

Program Name

Duration

Accreditation

Key Highlights

Liverpool John Moores University (LJMU)

Master of Science in Machine Learning & AI

18 Months

WES-Recognised

- Get free and quick access to LJMU's entire digital collection.

- 500+ hours of learning and practical projects

- Specialised modules on Generative AI, leveraging cutting-edge tools like LangChai and large language models (LLM)

IIIT-B

Executive Diploma in Machine Learning and AI

12 Months

UGC/ AICTE-Recognised

- Comprehensive curriculum covering ML, Deep Learning, NLP, MLOps, and Generative AI.

- Hands-on learning with 60+ case studies and 80+ programming and Generative AI tools

- 3-month free programming bootcamp for beginners.

6. How to Choose the Right Online AI & ML Certification in Canada

Choosing the right online Machine Learning and AI course in Canada can help you build the skills and confidence needed to succeed in Canada’s tech-driven economy. Here are the best considerations to choose the right AI online course in Canada:

Pick Accredited Programs: Make sure a reputable Canadian university offers the course. A credible certificate will enhance your resume and increase your potential for securing career opportunities.
Check the Curriculum and what you will Learn: Look for courses that cover both basics like supervised and unsupervised learning, and advanced topics like deep learning, MLOps, or Generative AI.
Focus on Practical Experience: Courses with hands-on projects, case studies, and tools like Python or TensorFlow help you apply what you learn and build fundamental skills.
Find Programs with Support: Choose courses that offer mentorship, live sessions, and expert guidance. Having help when you are stuck makes learning easier and more effective.
Ensure Career Assistance: A good course should help you with job placement through resume feedback, interview practice, and career advice, giving you an edge in the job market.

7. Conclusion

Earning a qualification in Canada gives a significant boost to your career and earning potential, especially with the growing demand for AI and Machine Learning expertise across industries. Professionals with AI skills are securing competitive salaries in roles like data science, automation, and AI development, along with attractive benefits. Pursuing an online AI and ML program from a top Canadian institution can open doors to advanced positions and leadership opportunities, helping you stay ahead in the evolving tech landscape.

8. Frequently Asked Questions (FAQs)

Is a machine learning course valuable for jobs in Canada?

Yes. Machine learning is in high demand across Canada, with industries increasingly integrating AI into their operations. Hence, courses in Machine Learning are valuable for job seekers in Canada.

What is the salary range for machine learning professionals in Canada?

Machine Learning professionals can earn competitive salaries in Canada. With expert skills in machine learning and data science, professionals can boost their salaries by over 35%.

Are there beginner-friendly machine learning courses available in Canada?

Yes. There are many short and long-term AI courses for beginners that you can pursue in Canada. Executive Diploma in Machine Learning and AI is one such course offered by IIIT-B that offers a 3-month free programming bootcamp for beginners.

Can I take a machine learning course online while living in Canada?

Yes, there are several online machine learning courses that you can pursue from anywhere in the world, as they offer a complete online mode of learning with full flexibility to learn at your own pace.

What are the prerequisites for enrolling in a machine learning course in Canada?

The fundamental prerequisite for a master’s in Machine Learning courses is a degree in Engineering, Mathematics, or Computer Science, or a related field. For diploma courses, it is not mandatory. However, having basic knowledge of programming and programming languages is recommended

Which industries in Canada are hiring machine learning professionals?

Several industries, including the fintech industry, are hiring ML professionals in Canada. Banks, insurance companies, and fintech firms are actively hiring AI and ML experts across the country.

Is Python knowledge required for machine learning courses in Canada?

Since Python is the commonly used programming language in machine learning courses, having good knowledge of Python is necessary. You can learn machine learning with Python to advance your career in AI and ML.

Are there any government-approved or university-certified ML programs in Canada?

Yes, Canada offers government-recognized university ML programs, while upGrad provides industry-aligned online certifications for professionals.

Can international students enroll in machine learning programs in Canada?

Yes, international students can enroll in machine learning programs in Canada, both at universities and through online platforms like upGrad.

What is the difference between a data science and a machine learning course in Canada?

Data science is the study of data and how to draw valuable insights from it. Machine learning, a branch of artificial intelligence, focuses on creating methods that use data to make predictions or improve performance.

What are the prospects of machine learning and AI in Canada?

Artificial Intelligence and Machine Learning are increasingly shaping how businesses run and tasks are performed in Canada. As per a report, an approximate amount of USD 18.8 billion was the revenue that Canada generated from Artificial Intelligence in 2023, with a projection of USD 152.7 billion by 2030, reflecting a 34.9% CAGR. Job demand in AI-related fields has also grown by up to 35%, indicating the prospects of the AI and ML landscape in Canada.

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Atul Chauhan

Applied Controls Engineer at Daikin
8 Years of Experience

The progress in AI and ML in the last decade sparked my curiosity about this topic

The progress in AI and ML in the last decade sparked my curiosity about this topic. The upGrad program looked well planned and built, with a reasonable price. The offline mode of education allowed me to study and learn while working at my job. During my learning journey with upGrad, I reinforced and learned new concepts I plan to use in my daily life and professional career. In the future, I will continue working and learning about these topics and applying them to my jobs. Read More

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Jheser Guzman Illanes

Vice President of Software Engineering at JPMorgan Chase & Co.
18 Years of Experience

My journey in the Post Graduate Diploma in AI and ML program has been transformative

My journey in the Post Graduate Diploma in AI and ML program has been transformative. I was initially drawn to the program due to my fascination with AI and ML, and it has exceeded my expectations. The curriculum, practical assignments, and hands-on projects have provided me with a comprehensive understanding of AI and ML principles and applications. This program has had a significant impact on my professional life, equipping me with the skills and knowledge to tackle complex challenges in the field. The program addressed my challenges in staying updated and lacking a structured learning path by providing a comprehensive curriculum and expert guidance. Collaborating with fellow learners and engaging with industry experts have been wonderful. Looking ahead, I am excited to apply my knowledge in the real world, pursue a career in AI and ML, and continue my learning journey. Overall, this program has been transformative, providing me with the tools and opportunities to excel in the dynamic field of AI and ML Read More

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Talha Anwer

Critical Care Service Engineer at Mediserv
11 Years of Experience

It was a fantastic journey so far with the support of upGrad team

I wanted to get into the ML\AI space for some time and decided to enroll in upGrad after being inspired by a friend. It was a fantastic journey so far with the support of upGrad team (special kudos to Karen for the excellent job) and I never imagined that I can make this far as I am a pretty occupied individual personally as well as professionally. I am looking forward to complete my masters and pursue PhD in near future. The foundation provided was fabulous and has enabled me to do design some innovative solutions at work. Thanks to upGrad for making it happen. Read More

Vsmy Naresh Kumar Kuppili

Solution Architect at Image Access Corp
11 Years of Experience

AI & ML Domain Insights

Latest Industry Trends in Machine Learning and AI

Machine Learning Surges: Global Market Set to expand

17.15% growth expected in the machine learning market by 2030

US $70.63 billion U.S. is the largest market for Machine Learning in 2024

$225.91 billion The global machine learning market touted to grow by 2030

$161.81 billion The global natural language processing market is expected to grow by 2029

344% surge in machine learning engineer job postings over the past five years

166% increase in demand machine learning skills over the past two years

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