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Build a smarter tomorrow
In this part-time Certificate in Machine Learning, you will learn to implement intelligent automation through expertise in areas of mathematics, project management, and communications. In this program you will:
Format: Part-Time, blended
Delivery: Online coursework + required live-online sessions
Live Session Schedule: 5 weekends of live-online class (Fri, Sat & Sun)
Program Length: 8 months
Term Starts: Fall
For a limited time, register for the Certificate in Machine Learning and claim a $2,400 discount on fees using the code BUILDML
Recruiting machine learning talent is a top priority across the board, with companies investing more in machine learning than in any other area of Artificial Intelligence (AI). The job market for machine learning specialists is expected to grow 56% in the next few years, with a recent growth of over 900% in the GTA (Greater Toronto Area) alone!
Our Machine Learning Certificate Program offers two distinct streams (Employment and Entrepreneurship) to support your career goals. The Entrepreneurship Stream, a collaboration with Innovation York, provides you with the mentorship and support that is critical for a successful entry into the market and eventual scale-up of your business. You will also be granted an interview in the LaunchYU Accelerator or LaunchYU Experience program*, with access to awards of up to $55K.
*There is an additional fee of $1,200 for successful applicants to Innovation York.
This program also offers you a suite of additional benefits to enrich your learning and professional development. These are just some of the extra perks you will receive when you enrol:
The Certificate in Machine Learning is for anyone with at least a second-year undergraduate-level understanding of linear algebra, calculus, probability and inferential statistics and with experience in Python or other programming languages.
“It’s the first time that I’ve found a continuing education certificate that does so much work to help students connect with the industry and get hired.”
Lynn Liu – Student, Certificate in Machine Learning
“The field of machine learning and artificial intelligence is going through a rapid growth phase with many emerging applications. It is of utmost importance for businesses and data professionals to understand the implications of these changes and act on them. This program will give students the expertise they need to implement effective machine learning processes in the years to come.”
Dr. Iman Khodadad – Chief Technology Officer and Co-Founder, Elucid Labs (Advisory Council Member)
Patrick M. Osborne – Certificate in Machine Learning Graduate
You will learn the building blocks and tools that will empower you to take raw data sets and extract valuable insights and data visualizations that bring the data to life. You will be introduced to R programming and learn to manipulate data using various R libraries while working in RStudio and Weka. You will also be introduced to common algorithms and techniques for analyzing data and be introduced to the concepts, practices and tools that are used to implement machine learning. The course is designed to be practical and allow students to quickly apply their new skills to real world problems, with real datasets and using the CRISP-DM methodology.
3 Classes
36 Hours
You will cover the lifecycle of machine learning working with Python and R, including processing unstructured data, feature engineering, dimensionality reduction, model selection and optimization, performance evaluation, and model improvement. You will cover advanced algorithms for complex problems that require specialized methods. You will gain hands-on experience with advanced algorithms such as ensemble methods, sequence models, association rule mining, and neural networks. You will construct models using data from a variety of application domains. Time will also be allotted throughout the course to expose students to various ethical and public policy considerations of their work. * successful completion of ML1000 is required to begin ML1010.
3 Classes
36 Hours
Having an understanding of the concepts of machine learning, you will examine and apply the fundamentals of working with extremely large data sets. First, you will parallelize and perform MapReduce operations using Hadoop and Spark. Second, you will take a look at the fundamentals of deep learning and working with TensorFlow and Keras. You will focus on image and voice data and build deep neural network models. At the end of this module, you should be ready to take on a large-scale real-world project challenge. * successful completion of ML1010 is required to begin ML1020.
3 Classes
36 Hours
In the machine learning capstone course, students address a business problem facing an organization by applying analytics models, methodologies, and tools learned in the program. The course will allow students to work on an end-to-end machine learning solution from problem formulation all the way to its deployment. As a result, students will create a data product that can be used to show their skill set to potential employers. The course will also provide an opportunity for students to work closely with business stakeholders, provides a networking opportunity, and exposes them to a real business setting. * successful completion of ML1020 is required to begin ML1030.
3 Classes
36 Hours
Please review the technology and software requirements you will need to access our courses remotely.
Ask us anything about this program and we’ll get back to you within 2 business days.