Are you looking for a career that offers the best growth opportunities in the future? If yes, then artificial intelligence and machine learning might just be the field for you. It is one of the trending careers these days that is packed with lucrative salaries and better job prospects. Many companies are investing a huge sum of money into AI research and looking for talented candidates to work on their AI-based projects. Being a relatively new field, the AI talent pool is scarce, leading to higher salaries for skilled individuals. This is the reason many find the field of AI quite interesting. People also look for ways to gain job-ready skills and land their dream job.
One of the best ways to upskill yourself in AI is by taking online courses. Without pausing your job, you can learn AI simultaneously through online courses. Their syllabus is divided into short video modules, enabling you to follow them easily, even in a hectic schedule. As AI has become popular across the world, you can see people seeking AI and machine learning courses in Toronto, Montreal, and many other locations in Canada. Though you can take an online course comfortably, you can also go for on-campus studies if you can take out time for a full-time academic course.
If you are not familiar with the best learning options yet, then this article is for you. It has listed some of the best online and offline courses that you can pursue in Canada to learn AI and machine learning from scratch and become ready for a corporate job in this field.
Let’s get started.
Post Graduate Program in AI and Machine Learning – Simplilearn
Learning Mode – Online
Take this Post Graduate Program in AI and Machine Learning if you want to learn about this field from scratch. Designed in partnership with the renowned Purdue University and in collaboration with the tech giant IBM, this PG program will help you master statistics, deep learning networks, machine learning techniques, and natural language processing. Throughout the 12 months, you will experience live virtual classrooms along with self-paced online videos, work on applied projects and online labs, get access to masterclasses from university faculty and top industry leaders, and 24/7 learning support and access to learner forums.
The program also features exclusive hackathons, Ask me Anything sessions by IBM, LevelUp session by Andrew McAfee (Principal Research Scientist at MIT), and 3 Capstone and over 25 projects with real-world datasets.
Master of Management in Artificial Intelligence (MMAI) – York University
Learning Mode – On-campus (full-time)
This 12-month comprehensive program is suitable for everyone willing to gain the skills and advanced applied knowledge to develop, assess, refine, and implement AI-related applications and technologies. The cutting-edge curriculum involves important concepts like natural language processing, computational methods and modeling, along with core business skills. Further, it covers the moral topics in AI like data privacy, algorithmic bias, and intelligent agent autonomy.
The program also features the capstone Artificial Intelligence Consulting Project (AICP) that allows learners to solve a significant business problem by building an AI-centered approach. Working on Deloitte Cognitive Analytics and Visualization Lab, student teams can deliver a solution to a client organization, thereby interacting with technicians, industry managers, suppliers, and other stakeholders.
Certificate in Artificial Intelligence – The University of Alberta, Edmonton
Learning Mode – Online
Alberta is one of the top five engineering schools in Canada. Students enrolling in its AI program will go through three modules of 6 weeks each over a period of 10 months. With an experiential learning approach, this program will give you hands-on experience in the practical application of AI using Python language. Using the university’s hardware, you will develop model AI algorithms and programs and test the neural network pathways with the faculty’s computational processing equipment. You will be able to access the resources of AI Hub, which has been working with small businesses to translate large data into more usable and meaningful information.
This program qualifies for 108 continuing professional development hours in the ‘formal activity’ category of APEGA’s professional development requirement.
Master of Applied Science with Field of Study in Artificial Intelligence – Faculty of Engineering and Applied Science, Queen’s University
Learning Mode – On-campus
The Department of Electrical and Computer Engineering offers a Vector Institute Accredited Master of Applied Science program with Field of Study in Artificial Intelligence for those who want to dive into the principles of AI, machine learning, and deep learning. The instructors will teach you how to build and analyze AI-related algorithms and methodologies, apply AI-based techniques to deal with complex research problems, and employ advanced scientific and engineering tools. The program also covers the technical knowledge in AI-related fields and understanding of the societal and ethical implications of AI.
You need to take a minimum of two AI-related courses like Signal Processing, Machine Learning and Deep Learning, AI for Cybersecurity, Artificial Intelligence and Interactive Systems, Wearable and IoT Computing, Deep Learning in Computer Vision, and Machine Learning for Natural Language Processing.
With all these options, you can decide what best matches your learning needs and pursue a course accordingly.
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