Our introductory and intermediate level microcredentials in advanced computing are designed to provide participants with job-ready skills.

The courses are designed to:

• Give you a breadth of advanced computing knowledge and skills;
• Increase your confidence in your technical abilities and ability to learn and grow those skills; 
• Hone your problem solving and critical thinking skills; and
• Prove your ability to learn new technical tools quickly.

What is advanced computing?
Advanced computing, or supercomputing, combines fast, large, and powerful computers, storage, and networks with specialized software and methods to perform complex, large-scale simulations, data analysis, modelling, and visualizations. 

It encompasses technologies like High Performance Computing (HPC), Machine Learning (ML), big data, data analytics, and cloud computing. Compared to an average personal computer which may have 8 cores of computing power and a terabyte of storage, advanced computing systems provide many thousands of cores, petabytes of storage, and advanced AI-capable Graphical Processing Units (GPUs), all tied together with a fast specialized network.

Work that would take weeks or months, or may not even be possible using traditional computing methods can be reduced to hours and days. 

Supercomputing is being used to develop new aerospace materials, engineer structures, develop green tech alternatives, map environmental systems, and create new ways of fighting infectious diseases. Areas as wide-ranging as nanotechnology, advanced manufacturing, robotics, oceantech, agritech, augmented reality and health research all increasingly rely on advanced computing.

Courses Not Available for Registration

For courses not available for applying or registration, please check back, add your name to our list to be notified when the course becomes available, or contact certification@ace-net.ca to find out its next date. 

Length:
22 hours of online classes over 6 weeks, with approximately 8 hours of self-study materials. The course includes an independent study project designed to use the skills you’ve learned in a real-world scenario.
Level:
Tech-savvy beginner
Prerequisites:
Mathematics and statistics; intermediate experience with computers, including working with documents and spreadsheets
Capacity:
There is a maximum capacity of 40 for the program.  

Course Overview
This microcredential provides a comprehensive introduction to the essential tools and techniques required for modern computational data analysis in the workplace. The program combines classroom and self-study learning to build foundational skills in Linux, Python, Version Control with Git, Cybersecurity and high-performance computing (HPC).

Participants will gain hands-on experience with essential computing tools, explore the principles behind computational methods, and develop practical skills. 

Whether you are beginning to integrate computational tools into your workflow, or are seeking to expand your knowledge, this microcredential offers a structured pathway to becoming proficient in key areas of data analytics.

Who Should Take this Course?
Designed for professionals, researchers and students seeking to build a strong technical foundation for data analytics. This course serves as a stepping stone for those aiming to develop their data analytics capabilities, and apply them in more advanced computing environments.

Why Take this Course?

• Build a strong technical foundation in essential computing skills like Python, Linux, Git, and high performance computing – the backbone of modern data analytics and computational workflows.
• Gain hands-on, practical experience through a blend of classroom learning and self-study, with real-world exercises that prepare you to apply tools confidently in professional settings.
• Create a launchpad to more specialized areas of data analytics, machine learning, or high-performance computing, with a solid grasp of the fundamentals.
• Accelerate your career and stay competitive in data-driven industries by upskilling in high-demand technical areas.

What You Will Learn

The application period for the May-June 2025 session of this course is now closed. Please check back, add your name to our list to be notified when the course becomes available, or contact certification@ace-net.ca to find out its next date. 

Length:
24 hours of online classes over 6 weeks, with approximately 6 hours of self-study materials. The course includes an independent study project designed to use the skills you’ve learned in a real-world scenario.
Level:
Intermediate
Prerequisites:
ACENET Microcredential in Practical Foundations for Data Analytics, or experience with Linux, Python programming, and version control.
Capacity:
There is a maximum capacity of 40 for the program.  

Course Overview
Through hands-on sessions and guided exercises, participants will learn to explore and transform data, communicate findings effectively through visualizations, and implement machine learning algorithms using Python to gain actionable insights. Asynchronous modules provide valuable training in coding best practices and technical project management to enhance collaborative and efficient workflows. This program builds on foundational skills to enable more elaborate analyses, improving both technical expertise and practical problem-solving abilities.

Who Should Take this Course?
Designed for professionals, researchers and students seeking to improve their data analytics skills, and integrate machine learning techniques to effectively work with complex data.

Why Take this Course?

• Develop in-demand skills in data analytics and machine learning through hands-on projects using Python and essential libraries like Pandas, Matplotlib, Seaborn, and TextBlob.
• Build practical experience by applying real-world techniques to explore, clean, and visualize complex datasets, and implement machine learning models like KNN, Decision Trees, and Logistic Regression.
• Boost professional efficiency with asynchronous training in coding best practices and technical project management to support collaborative, high-quality work.
• Advance your career by bridging foundational knowledge with advanced tools and methods, equipping you to solve problems, automate tasks, and deliver data-driven insights across various fields.

What You Will Learn

This course is not scheduled for delivery at this time. Please check back, add your name to our list to be notified when the course becomes available, or contact certification@ace-net.ca to find out its next date. 

If you would like to receive ACENET’s regular newsletter, which includes other opportunities for skills development, sign up here.