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Top Online AI Certifications for Canadian Engineers to Boost Their Careers

AI is reshaping industries, and engineers in Canada are in a pivotal position to lead this transformation. According to the Information and Communications Technology Council (ICTC) report, Canada’s artificial intelligence (AI) talent pool is expected to expand at a rapid 33.9% annual rate by 2028. This growth increases the demand for professionals such as AI engineers, machine learning experts, and data scientists.

AI is transforming the way industries operate across Canada, creating a significant demand for professionals who can design and manage intelligent technologies. As more companies adopt AI, they are also struggling to find people with the right skills to support this growth.

To stay competitive and close this talent gap, it’s essential to understand the key jobs and skills that are shaping Canada’s growing AI workforce. This blog discusses the top AI Engineering certifications to help Canadian engineers advance their careers.

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

Best Online AI Engineer Certification Programs to Explore in 2025 

In 2025 and beyond, the best online AI engineer certification programs are expected to provide comprehensive AI training programs, equipping learners with practical skills to advance their careers across various industries.

Master of Science in Machine Learning & AI from Liverpool John Moores University

Course Name Master of Science in Machine Learning & AI from Liverpool John Moores University
Duration 18 Months
Type Master’s Degree
Format Online
Eligibility
  • 50% (or equivalent) in bachelor’s degree preferably in mathematics or statistics.
  • Recommended 1 year of work experience in programming/ analytics.
Ideal For
  • Entry-level Engineers
  • Entry-level IT Professionals
  • Data Professionals
  • Anyone willing to enhance career in AI engineering
Program Highlights
  • 500+ hours of learning and practical projects
  • Specialized modules on GeneAI, leveraging cutting-edge tools like LangChai and large language models (LLM)
  • 10000+ alumni support
  • 15+ industry projects to choose from
  • Optional on-campus immersion
Job Roles Machine Learning Engineer, AI Engineer, Software Developer, Data Scientist
Skill You Will Learn Exploratory Data Analysis
Develop RAG system
Linear Regression
Querying with SQL
Essentials of Business Analytics
Big Data Analysis
Real-time Data Analytics
Deep Learning
GenAI System Design

Executive Diploma in Machine Learning by IIIT B

Course Name Executive Diploma in Machine Learning by IIIT B
Duration 12 Months
Type Diploma
Format Online
Eligibility
  • Bachelor’s degree with 50% or equivalent CGPA.
Ideal For
  • Engineers
  • Software and IT Professionals
  • Data Professionals
Program Highlights
  • Comprehensive curriculum covering ML, Deep Learning, NLP, MLOps, and GenAI.
  • Hands-on learning with 60+ case studies and 80+ programming and GenAI tools.
  • Choose from cutting-edge specializations in MLOps or GenAI.
  • Capstone project aligned with the learner’s chosen domain.
  • 3-month free programming boot camp for beginners.
  • IIIT Bangalore alumni status.
  • Flexible online learning designed for working professionals
Job Roles Machine Learning Engineer, AI Engineer.
Skill You Will Learn Generative AI Models
Transformers
ChatGPT
Prompt Engineering
Product Development
Deploy Web Apps with Flask

Also Read: AWS Machine Learning Certification: Your Pathway to Success in AI

Skills and Tools Canadian Engineers Need Before Pursuing AI Certification 

Before pursuing an AI certification, Canadian engineers should establish a solid foundation in key technical and analytical skills. Having the right tools and knowledge upfront can make learning faster, smoother, and more impactful.

Skills How it helps
Soft Skills
  • Strong communication skills
  • Problem-solving and critical thinking
  • Flexibility and adaptability
  • Teamwork and collaboration
  • Time management
  • Business acumen
Technical Skills
  • Strong foundation in AI and ML
  • Programming skills in Python, R, or Java
  • Familiarity with AI/ML frameworks
Domain Knowledge
  • Relevant knowledge of the specific domain
  • Ability to evaluate industry-specific challenges
  • Practical experience
  • Educational Qualification
  • Evaluate project experience
  • Consider certifications
  • Domain-specific skills

upGrad’s Online AI Programs Tailored for Canadian Engineers

upGrad’s online AI and ML certification programs are an excellent fit for certified artificial intelligence engineers in Canada, whether you’re a student or a working professional. Designed in collaboration with top global universities, these flexible programs help you build in-demand AI/ML skills and grow your career in tech. With practical learning and industry-ready tools, they are built to support your transition into the future of engineering.

Here are some relevant options to explore for online AI learning:  

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FAQs on Top Online AI Certifications for Canadian Engineers

Q: Do Canadian employers recognize online AI certifications?
Ans: Yes, online AI certifications are recognized by Canadian employers, particularly those offered by reputable and accredited institutions.   

Q: How long does it take to complete an AI certification course?
Ans: AI certifications can take anywhere from a week to several years to complete, depending on the program pursued and the institution or university offering it.  

Q: Can AI certifications help me transition into a tech or data career?
Ans: Yes, AI certifications can be a strong stepping stone for switching into tech or data-related careers. They equip you with in-demand skills, such as machine learning, data analysis, and AI tools, that are highly valued across various industries in Canada.  

Q: How much do AI engineers earn in Canada after certification?
Ans: Junior-level AI Engineers in Canada can earn an average salary ranging from CAD 77,970 to CAD 103,960, which can increase to CAD 129,950 after obtaining certifications. 

Q: Do I need a computer science background to pursue AI certification?
Ans: To pursue a postgraduate program in AI, you typically need to complete a bachelor’s degree in fields such as Computer Science, Information Technology, or Engineering.

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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