Master in Generative AI Course in Canada

Learn AI Basics: Understand the core concepts of AI, machine learning, and deep learning, including how algorithms and neural networks work.

Master Generative AI: Dive into Generative AI, which focuses on creating new data from existing data, like generating realistic images or text.

Hands-on Practice: Work with powerful AI tools like TensorFlow, PyTorch, and Keras to create AI models and solve real-world problems.

Learn Natural Language Processing (NLP): Study how AI can understand and generate human language, which is used in chatbots, translation systems, and virtual assistants.

Understand AI Ethics: Discuss the ethical issues involved in using AI, such as privacy concerns and fairness.

Train and Optimize Models: Learn to train, test, and improve AI models to make them more efficient and accurate.

Starting Salary: Freshers can expect an annual salary between CAD 80,000 - CAD 110,000 (approximately 48,00,000 - 66,00,000).

Mid-Level Salary: With a few years of experience, salaries can rise to between CAD 120,000 - CAD 150,000(approximately 72,00,000 - 90,00,000).

Entry-Level: Start your career as an AI Engineer, Machine Learning Engineer, or Data Scientist.

Mid-Level: With a few years of experience, you could move into roles like Senior AI Developer or Lead Data Scientist.

Advanced Roles: With more experience, you can become an AI Researcher, AI Architect, or Chief AI Officer.

Leadership Roles: Experienced professionals can even transition into roles like AI Project Manager or Director of AI Strategy.

Booming AI Industry: AI is transforming industries such as healthcare, finance, and automotive, making professionals highly sought after.

Generative AI Growth: There is a high demand for Generative AI specialists who can create new data using AI systems.

High Earning Potential: AI professionals typically enjoy high salaries, which makes this career path very attractive.

Cutting-Edge Learning: Students get to learn about the latest advancements in AI, including deep learning, NLP, and neural networks.

Wide Application: AI has applications in almost every industry, from self-driving cars to entertainment and healthcare.

AI Engineer: Design and build AI models that solve real-world problems using large datasets.

Machine Learning Engineer: Develop and fine-tune machine learning algorithms to improve predictions and decision-making.

Data Scientist: Analyze large datasets and use AI models to generate actionable insights.

AI Researcher: Work on AI projects to explore new techniques, advance the technology, and improve AI models.

AI Product Manager: Oversee the development of AI products and work with teams to implement AI solutions in businesses.

Natural Language Processing (NLP) Engineer: Work with AI systems to understand and generate human language.

Technology: Companies like Google, Facebook, Microsoft, and IBM hire AI experts to develop cutting-edge technologies.

Healthcare: AI is used in drug discovery, medical imaging, and patient care.

Automotive: Self-driving car companies are looking for AI engineers to develop autonomous systems.

Finance: AI is used in risk management, fraud detection, and automated trading.

Entertainment: AI is being used in content creation, gaming, and personalizing recommendations on platforms like Netflix and YouTube.

CAD 2,000 - CAD 6,000 (approximately 1,20,000 - 3,60,000).

CAD 150 - CAD 400 (approximately 9,000 - 24,000).

Generative Image Creation: Use Generative Adversarial Networks (GANs) to create realistic images from scratch.

Text Generation: Build systems that use Natural Language Processing (NLP) to create human-like text for applications like chatbots.

AI Model Optimization: Learn how to train and improve AI models for better performance in real-world scenarios.

Predictive Analytics: Work on AI projects that use data to predict trends, outcomes, and future events.

Career Counseling: Our experts will guide you in choosing the right career path and industries to focus on based on your interests and skills.

Resume Building: We help you craft a strong, professional resume that highlights your expertise in Generative AIand other related skills.

Interview Preparation: You will have mock interviews and feedback sessions to improve your chances of success in real job interviews.

Job Referrals: We provide referrals to companies that are actively hiring AI professionals.

Job Search Support: Our placement team helps with job applications and interview scheduling to ensure you get the right opportunity.