Technology

Machine Learning Practitioner Certificate

Harness the power of data like never before. From understanding complex algorithms to adopting large language models into your work, our programs provide the knowledge and skills necessary to thrive amidst an ongoing data and AI revolution.

Data Science Certificate

Learn advanced statistical modelling, machine learning, and big data tools. Course content covers the seven domains of INFORMS' Certified Analytics Professional (CAP) certification.

(NEW!) Artificial Intelligence Certificate

Gain advanced, hands-on training in machine learning, neural networks, and MLOps, designed for developers, engineers, and data professionals seeking to build and scale real-world AI systems.

Data Analytics for Behavioural Insights Certificate

Back-End and Intelligent Systems Development Certificate

Managing AI Projects

AI and Business Strategy

Join Dr. Joël Blit, Dr. Jimmy Lin, and Dr. J. Mark Weber for this three-part executive sprint to learn how the AI landscape is evolving and the implications this will have for the future of work and organizational strategies at large.

Agentic AI

Part of the AI Certificate. Develop the skills to engineer autonomous, generative AI systems with cutting-edge tools like LangChain and Model Context Protocol, position yourself as a leader in Canada's AI innovation ecosystem.

Language Models

Part of the AI Certificate. Apply language models in enterprise settings, enhance AI-driven products, and contribute to advanced NLP and multimodal AI initiatives

Reinforcement Learning

Part of the AI Certificate. Learn to build autonomous agents with deep reinforcement learning - Q-Learning, MDPs, and more. Gain practical reinforcement learning skills to build smarter AI systems.

Managing AI Projects

Effectively manage AI projects with practical frameworks, expert guidance, and real-world applications

Basics of Modern Statistics and Analysis

Understand hypothesis testing and multivariate regression models. Learn to conduct statistical analysis through the construction of scripts using R. Great for professionals who are new to coding.

Python for Health Data

Gain the analytical acumen to support evidence-based decision-making and drive meaningful improvements in Canada’s health systems. 

Back-End Development Certificate

Take a practical, real-world approach in building secure, reliable, back-end systems with cutting-edge AI tools and expert guidance  and industry gold-standard coding practices.

Behavioural Insights, Modelling, and Predictive Analytics

Discover multivariate regression models, forecasting, and better understand the data analysis tools needed for effective, well-informed decision-making. Some prior knowledge of R and statistics is recommended.

Big Data Management Systems and Tools

Gain hands-on experience using up-to-date database management systems and tools. Learn about NoSQL technologies and big data tools including Hadoop, Spark, and Cassandra.

Cloud Computing and Security Essentials

Learn to design, deploy, and secure cloud environments while gaining practical skills in cloud infrastructure, cybersecurity, and compliance, preparing you for high-demand roles in the evolving tech industry.

Cryptography in the Real World

Explore the fundamental concepts of cryptography and explore the critical role it has in a complex and changing digital landscape. 

Data Analytics for Behavioural Insights

Establish foundational knowledge in statistical analysis and gain essential programming skills with Python and R. Designed for beginners with no prior coding or analytics experience.

Data Science

Learn advanced statistical modelling, machine learning, and big data tools. Course content covers the seven domains of INFORMS' Certified Analytics Professional (CAP) certification.

Digital Transformation

This eight-week course addresses the impact that technology is having on our workforce, and helps you discover new technologies and develop a plan for their integration into your workplace

Foundations of Data Science

Understand the basic techniques, evolution, and promise of data science. Build hands-on skills in programming languages such as Python and SQL. Prior experience with Python is recommended.

Foundations of Large Language Models

Gain a comprehensive understanding of the latest techniques, tools, and applications of LLMs so you can build better applications or processes. Prior experience with Python, API endpoints, and machine learning libraries is required.

ISC2 Official CISSP Certification Training

Self-paced training to prepare you for the Certified Information Systems Security Professional (CISSP) exam.

ISACA Official Certification Training

Gain knowledge in IT audit and assurance, information and cyber security, governance, risk management, compliance, privacy, and emerging technologies.

Machine Learning

Equip yourself with basic machine learning and AI tools for mining datasets, and extracting insights for decision-making. 

Python I

Designed for beginners or professionals! Take this course if you want to learn Python as a stepping stone for future learning and development goals.

Python 2: Data Science and AI Applications

Designed for learners who have some experience in Python and are looking to advance their skills in data science, machine learning, automation, and web development. 

Python for Machine Learning: The Essential Starter Kit

Perfect for beginners and professionals! This course is designed to introduce you to machine learning tools in Python.

Python and Public Data

Learn modern technologies and programming techniques in Python and discover how to use data to draw meaningful insights. Great for beginners.

Statistics for Data Science

Explore probability and descriptive statistics, and cover data analysis from both classical and contemporary viewpoints. Learn to extract insight from datasets.

Supervised Machine Learning

Gain practical, hands-on experience using Python to implement and evaluate supervised learning algorithms to draw relevant insights and solve problems.

Systems and Platform Security in Practice

Gain cutting-edge expertise in identifying and mitigating security risks across modern systems, platforms, and cloud environments to stay competitive in the evolving cybersecurity landscape.

Unsupervised Machine Learning

Explore three key concepts and practices of unsupervised machine learning—dimensionality reduction, association rules, and clustering and learn how they can be used to discover patterns and similarities in unlabelled data sets without human intervention.

Understanding AI: An Intro for Small and Medium Business

Empower your business with AI. This practical course helps SMB leaders understand AI, identify high-impact opportunities, and build a clear, responsible roadmap. No technical background required.

Neural Networks

Learn the foundational concepts and popular techniques of neural networks, including RNNs, CNNs, and transformers, with hands-on experience using Python to solve real-world problems.

Hands-on Machine Learning Capstone

Apply machine learning techniques to real-world problems. Implement a complete machine learning project using Python and relevant libraries from inception to presentation.