Generative AI Degree Courses and Certifications Online

Build in-demand skills in Generative AI that employers in Canada value through specialized Generative AI courses on the upGrad platform. These programs are specifically designed for students in Canada, emphasizing the use of useful AI tools and applications to help you determine your future professional path.

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Data Science and Analytics

Liverpool John Moores University

Dual Alumni Status

Master of Science in Data Science

Masters
18 Months
Recognized by WES

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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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IIIT Bangalore

14+ Tools & Languages

Executive Diploma in Data Science and AI

Diploma
12 Months
IIITB Alumni Status

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Golden Gate University

WASC-Accredited DBA

Doctor of Business Administration in Emerging Technologies with Concentration in Generative AI

Doctorate
36 Months
Specialize in Generative AI

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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.

Generative AI Certifications in Canada: Key Details at a Glance

1. Generative AI Courses in Canada – A Quick Overview

Learners will benefit from a flexible and fully online program designed for working professionals in Canada. These programs cover foundational tools while emphasizing practical applications for the industry. Learners will gain job-ready knowledge of Generative AI applications tailored to Canada’s digital economy and the growing demand for AI skills.

Online Generative AI courses offered on the upGrad platform are built for working professionals seeking to future-proof their careers. These courses provide globally recognized certifications, real-world projects, and expert-led modules designed to advance their AI capabilities.

Why Is It the Right Time to Pursue Generative AI Courses and Certifications in Canada?

With world-class AI research facilities, thriving startups, and innovation hubs in cities like Toronto, Montreal, and Vancouver, Canada is rapidly becoming a global tech leader. Students enrolling in GenAI programs today gain access to top universities offering innovative curricula and strong academic support.

These programs focus on industry-relevant skills and provide exposure to cutting-edge resources such as multimodal platforms, AI image/video generators, and natural language systems. Expanding career options in marketing, healthcare, finance, and gaming make this the ideal time to pursue Generative AI education.

Who Should Consider Generative AI Courses and Certifications in Canada?

Individuals who can benefit from Generative AI courses include:

Technology professionals looking to build or enhance AI-enabled solutions.
Content creators and designers exploring AI-driven creative tools for media production.
Data professionals seeking to transition into AI or machine learning roles.
Product managers aiming to build AI-powered innovations.
Students and recent graduates seeking a competitive edge.
Developers, engineers, and data scientists wanting to upskill.
Business analysts and product managers who want to leverage Generative AI.

Learning Outcomes of a Generative AI Course

Understand GenAI vs traditional AI: Learn how Generative AI differs from conventional rule-based and predictive systems.
Build apps using GPT, DALL·E, and Midjourney: Gain hands-on skills to build AI-powered applications.
Create and evaluate AI-generated content: Produce text, images, and media while evaluating accuracy and quality.
Master prompt engineering and ethical use: Learn to craft effective prompts and use AI responsibly.
Apply GenAI to real business use cases: Use AI for marketing, customer support, healthcare, and other domains.

Generative AI Courses: Eligibility & Admission Criteria

Eligibility typically requires a bachelor's degree. Most programs accept learners with at least 50% marks in their undergraduate education.

Career Opportunities in Canada with Generative AI Courses and Certifications

Job Roles	Descriptions
AI/ML Engineer	Design, train, and deploy machine learning and Generative AI models.
Data Scientist	Analyze data and provide insights using advanced AI-driven methods.
Generative AI Specialist	Develop and refine text, image, and multimodal AI solutions.
AI Product Manager	Lead AI product development and align AI technology with business strategy.
Prompt Engineer	Optimize prompts and workflows to improve AI output quality.

Skill Sets Required for Success in the AI Field

Technical Skills	Soft Skills
Programming Languages	Problem-Solving
Machine Learning (ML) & Deep Learning (DL)	Critical Thinking
Data Science & Analytics	Creativity
Mathematics & Statistics	Communication
Libraries & Frameworks	Collaboration

Technical Skills

Programming Languages: Python, Java, C++, and R for implementing AI systems.
Deep Learning & Machine Learning: Knowledge of neural networks and ML algorithms using TensorFlow, PyTorch, etc.
Data Science & Analytics: Skills in data cleaning, modeling, and visualization.
Mathematics & Statistics: Strong foundation in linear algebra, calculus, probability, and statistics.
Frameworks & Libraries: Familiarity with AI/ML frameworks for model development.

Soft Skills

Problem-Solving: Ability to identify challenges and develop AI-based solutions.
Critical Thinking: Evaluate AI systems and interpret outputs responsibly.
Creativity: Develop innovative AI-driven solutions.
Communication: Explain technical concepts to both technical and non-technical audiences.
Collaboration: Work effectively in cross-functional teams.

2. Overview of Generative AI Curriculum and Course Structure

Generative AI courses are designed to strike a balance between industry relevance and flexibility, enabling students to advance their skills without interrupting their careers. The curriculum enables professionals to immediately apply their learning in the workplace by combining theory with practical application.

Flexibility and career applicability are key considerations in designing courses for working professionals. Before advancing to more complex Generative AI applications, such as LLMs, multimodal models, and industry use cases, learners go through modules that begin with the basics of AI and ML. Projects, case studies, and quizzes are used for assessments to ensure practical learning and provide participants with the opportunity to apply ideas to real-world situations.

Core Topics Covered in Online Generative AI Courses

Core topics include:

Advanced Math and Programming
Data Analysis and Exploration
Cloud Computing and Big Data
Foundations of ML
Specialization in Data Engineering and Data Analysis
Research methodologies

Popular Generative AI Tools and Platforms

ChatGPT / OpenAI APIs: Conversational AI and APIs enabling natural language understanding, text generation, and advanced reasoning.
Midjourney: AI-powered platform for generating artistic and photorealistic images from text prompts.
DALL·E: OpenAI’s image generation model that creates creative visuals and illustrations from textual descriptions.
Runway ML: A creative suite offering video, image, and audio editing powered by generative AI.
Google Gemini: Google’s multimodal AI model for text, code, and image-based tasks with strong integration into Google products.
Hugging Face: Open-source hub for AI models, datasets, and tools, empowering developers and researchers.
LangChain / Pinecone (for developers): Developer frameworks for building AI apps with memory, context, and vector search capabilities.

Applications of Generative AI Across Industries

Healthcare: Aid in medical research, enhance drug discovery, improve clinical workflows, and create personalized health assistant experiences.
Education: Personalized learning materials, virtual tutors, simulations, and automation of administrative tasks.
Finance: Real-time fraud detection, portfolio management, and personalized financial advisory.
Media/Creative: Create text, images, video, music, and personalized content; support ideation and audience analysis.
Retail: Demand forecasting, inventory optimization, and personalized customer recommendations.

Risks and Ethical Concerns

Deepfakes and misinformation: Realistic fake content can spread misinformation, requiring safeguards and detection tools.
Intellectual property issues: Training on copyrighted material raises ownership and fair-use concerns.
Bias in AI-generated content: AI may reinforce biases present in training datasets; diverse data is essential.
Regulatory gaps (AI governance in Canada): Canada is developing AIDA to ensure transparent governance and accountability.

Hands-On Projects and Practical Experience

Build a GenAI-powered chatbot – Create an AI assistant for real-time query handling.
Create marketing copy using GPT – Generate ads and product descriptions to improve brand presence.
Fine-tune a text-to-image model – Customize image generation for particular themes or styles.
Evaluate bias in generated outputs – Analyze fairness and mitigate biased outputs.

Duration and Flexibility of Online Generative AI Courses

Program	Type	Duration	Key Features
Master of Science in Machine Learning and AI (LJMU)	Master’s Degree	18 Months	- Blended learning options - Dedicated program coordinator - Centralised WhatsApp channels for queries
Executive Diploma in Data Science and AI	Diploma	12 Months	- Capstone project tailored to your domain - Boost GitHub & Kaggle portfolios - 3-month free programming bootcamp
DBA in Emerging Technologies (Generative AI)	Doctorate Degree	36 Months	- Up-to-date modules with GenAI - Fully synchronized program - International thesis supervisors & experts

3. Top Universities and Institutions Offering Online Generative AI Courses in Canada

Many top global universities in Canada offer courses in Generative AI, teaching practical tools and providing global exposure that helps learners stand out in the fast-growing AI job market.

University/Provider	Program	Duration	Key Features
Liverpool John Moores University	Master of Science in Data Science Master of Science in Machine Learning and AI	18 Months (for both programs)	- 500+ hours of learning and practical projects - Complimentary Python Programming Bootcamp - 15+ Industry projects to choose from - Optional on-campus immersion
Golden Gate University	DBA in Emerging Technologies with a concentration in Generative AI	36 months	- Up-to-date modules integrated with Generative AI - Globally renowned faculty - A pool of international thesis supervisors and subject matter experts - Scholarships available for 5,000 students - WES Recognized Program - 24/7 student support
IIIT Bangalore	Executive Diploma in Machine Learning and AI Executive Diploma in Data Science and AI	12 months (for both programs)	- Comprehensive curriculum - Hands-on learning with 60+ case studies and 80+ programming and Generative AI tools - Cutting-edge specialisations and capstone projects - 3-month free programming bootcamp for beginners

4. How to Choose the Right Online Generative AI Course in Canada

Here’s a quick decision guide to help learners choose the right online Generative AI courses in Canada:

Career goals: Aspiring Developers or Engineers can look for technical, coding-heavy programs comprising Python, ML, and Deep Learning in the curriculum. Those aiming to be Strategists or Managers can choose courses focusing on AI applications, ethics, and business strategy. Creative Professionals can opt for design or media-focused Generative AI programs dealing with text, image, and video creation.
Learning preference (hands-on vs theory): If you prefer hands-on learning, consider boot camps or project-driven programs that use real-world datasets. For theory-focused learning, explore university diplomas or generative AI certificate courses.
Time commitment (short course vs diploma): Working professionals seeking quick upskilling can choose short-term courses of 4 to 12 weeks. For in-depth expertise, diploma or certification programs typically range from 6 to 12 months.
Certification vs real-world project focus: If you value recognition for your resume, choose government-recognized or university-backed certificates. Alternatively, programs with strong project or capstone components help build job-ready skills.
Level (beginner, intermediate, advanced): Beginners can start with introductory AI and Generative AI courses that require minimal coding. Intermediate programs cover ML, NLP, diffusion models, and prompt engineering. Advanced learners can pursue specialized diplomas or master’s degrees with deep technical content.

5. Scholarships and Funding Options for AI Learners in Canada

Whether you are a student, a working professional, or someone looking for a career change, there are several funding options to explore:

Government funding: Programs such as Skills First, the Canada Job Grant, and other provincial initiatives may cover part of the tuition for upskilling in AI and technology.
University-specific AI scholarships: Many Canadian universities offer merit-based or need-based scholarships for programs in AI, data science, and emerging technologies.
EdTech discounts for early applicants: Platforms offering AI courses may provide early-bird discounts, seasonal offers, or group enrollment savings.
EMI or installment options: Programs such as the DBA in Emerging Technologies with a concentration in Generative AI by GGU offer scholarships of up to 54% for added affordability.

6. FAQs – Generative AI Courses in Canada

Do Canadian employers recognise online Generative AI certifications?

Canadian employers recognize online AI certifications obtained through reputable and accredited institutions.

Can I pursue a course in Generative AI in Canada while working full-time?

Yes, you can pursue one of the best Generative AI courses in Canada while working full-time. Many universities and edtech platforms offer online, part-time, and blended options, making it easy to balance work and study.

What career paths are available in Canada after completing a Generative AI course?

AI Engineer, Generative AI Engineer, Prompt Engineer, Machine Learning Engineer, Data Scientist, AI Research Scientist, and NLP Engineer are among the many career paths available to GenAI professionals.

Is a technical background required to start a Generative AI course in Canada?

Not all programs require a technical background. Many introductory Generative AI courses are beginner-friendly. Advanced programs may require basic programming (Python) along with math, statistics, or computer science fundamentals.

How long does it take to complete a Generative AI course online in Canada?

Depending on depth, online Generative AI courses can take a few weeks (bootcamps) to 6–12 months (certificates or advanced programs).

Will I gain practical experience in building GenAI tools like ChatGPT or Midjourney?

Yes. While you won’t build foundational models like ChatGPT or Midjourney from scratch, you can learn to fine-tune models, use tools and platforms, and build practical GenAI applications.

Are there scholarships or funding available for Generative AI courses in Canada?

The Canadian federal government offers grants and funding to support AI education, research, and development across the technology sector.

What is the average salary for Generative AI professionals in Canada?

According to Glassdoor, the average annual salary for a Generative AI professional in Canada is CAD 97,000 (as of Oct 22, 2025).

What sectors in Canada are actively adopting Generative AI?

Many industries are adopting GenAI. In early 2024, one in four businesses in the information and cultural industries (24.1%) were already using Generative AI, and another 7.1% planned to do so.

What's the difference between Generative AI and traditional AI in the Canadian context?

Traditional AI uses rule-based systems to analyze data and make predictions. Generative AI learns from data patterns to create new content such as text, images, or audio. Traditional AI does not generate new content on its own.

Are these courses aligned with the Canadian government’s AI skills initiatives?

Yes. Many Generative AI courses in Canada align with government AI-skills initiatives, promoting technical skills, ethical AI use, and alignment with national AI safety frameworks.

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Generative AI Domain Insights

Latest Industry Trends in Generative AI

1,848% increase in demand for generative AI skills since 2022

75% of professionals expect that generative AI will cause “significant or disruptive change in the nature of their industry’s competition”

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