Education

Are you currently in school for AI or looking to change your career path? Consider applying to one of our scholarships! New AI courses and workshops are available!

We are working with BCIT, Northeastern University, SFU and UBC to create great learning opportunities with new courses and workshops in AI. With different options for whether you're in school or looking for a professional workshop, we are sure to have the right fit for you. Check out the list below of courses and workshops. You may be eligible for a $500 scholarship!

Athena Pathways has partnered with Microsoft

Microsoft is providing funding for BC women to take Global Knowledge courses for FREE! Check out the current course offering below in the Professional Workshops Category.

Microsoft logo
Microsoft Funded Global Knowledge Course Options

Through Microsoft funding, you may apply to take up to a MAXIMUM OF TWO COURSES out of the three available:

  • Microsoft Azure Fundamentals (AZ-900T01) – 1 Day
  • Microsoft Azure AI Fundamentals (AI-900T00) – 1 Day
  • Designing and Implementing an Azure AI Solution (AI-102T00)- 4 Days

For those who have had no exposure to Azure, Global Knowledge recommends you take the following two courses:

  • Microsoft Azure Fundamentals (AZ-900T01) – 1 Day
  • Designing and Implementing an Azure AI Solution (AI-102T00)- 4 Days

For those who have had some exposure to Azure, Global Knowledge recommends you take the following two courses:

  • Microsoft Azure AI Fundamentals (AI-900T00) – 1 Day
  • Designing and Implementing an Azure AI Solution (AI-100T01) – 3 Days

If you have questions regarding which of the two courses you should take based on your current knowledge level, please contact Global Knowledge directly.

Global Knowledge contact: Philip Murch |  Email: Philip.Murch@globalknowledge.com

If you are applying to take two courses, you may send a $100 e-transfer for both instead of two individual transfers at $50 each.

Undergraduate Studies

CPSC 340 Machine Learning and Data Mining

Course Description

Models of algorithms for dimensionality reduction, nonlinear regression, classification, clustering and unsupervised learning; applications to computer graphics, computer games, bio-informatics, information retrieval, e-commerce, databases, computer vision and artificial intelligence.

Apply for a Scholarship

Marketing Intelligence & Performance Optimization

Course Description

Marketing intelligence (MI) combines marketing and customer analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations make better data-driven decisions. Using MI, powered by the modern use of AI and ML, organizations can optimize their marketing and customer performance by maintaining a competitive advantage and achieving organizational goals and objectives. Building on the data and marketing analytics concepts and frameworks from the first three courses, participants in this course will focus on continuous improvement opportunities to optimize marketing and customer initiatives. This will require looking at an organization’s entire data ecosystem – internally and externally.

Apply for a Scholarship

COMP 4254 - Advanced Analytics

  • Institution: BCIT
  • Date: May 3, 2021-July 26, 2021
  • Course Page
Course Description

This is the final course and project for the Applied Data Analytics Certificate (ADAC) from BCIT Computing. Students must have completed all specific prerequisites in order to register. COMP 4254 is built on top of: Python Fundamentals for Data Analysis, Data Analytics Fundamentals, and Advanced Statistical Techniques for Data Analytics. Students must have experience using data visualization tools, be able to use R and apply statistical methods with algorithms in order to develop their final project. COMP 4254 is a BYOD (bring your own device) course, participants must provide their own current model PC with an i5 or higher equivalent processor, 8 GB of RAM minimum, 256 GB minimum storage and high-speed internet access. Participation is mandatory and students can expect a minimum of 3 hours per week online in real time via the BCIT Learning Hub plus using two-way audio and video. Attendance is required during scheduled class hours and students should expect an additional 10+ hours for reading and homework each week. Building on statistics for data mining, students will make use of previous tools and technologies used through out the program. A combination of R, Python, Data Analysis tools and visualization techniques will be integrated into an advanced data analytics project. There is an introduction to data analytics techniques with Big Data. Labs and exercises use Python and Apache Spark for data mining with a focus on Business Intelligence and Big Data. Participants will work with a variety of structured and unstructured data sources to model, analyze and visualize data. Upon successful completion students will be able to develop an advanced project from start-to-finish which includes data preparation, Business Intelligence and an in-depth analysis on a broad range of data sources.

Apply for a Scholarship

Data and Marketing Analytics Fundamentals Course

Course Description

This course examines the tools, techniques, and strategies to analyze and manage data within an organization’s marketing and customer-related functions. It looks at the evolution, impact, and importance of data-driven decision-making in today’s organizations, as well as the changing role of marketers, customer service managers, and business / product leaders in how they use data to work with internal and external stakeholders.
This foundational course prepares participants for the next two required courses of the Associate Certificate in Data and Marketing Analytics program by introducing key terminology and concepts addressed in later more detailed courses of this program.

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COMP 7405 - Topics in Computer Programming – Artificial Intelligence

Course Description

This course provides an introduction to the various topics in Artificial Intelligence (AI). Topics to be covered include search, games, regression, classification and neural networks. Students will develop an understanding of the fundamentals underpinning AI applications and gain hands-on experience through the development of AI systems. Practical work in course projects focuses on developing components of AI systems as well as analyzing real-world datasets from different domains. The societal implications and ethical considerations in the design of AI systems will also be discussed.

Apply for a Scholarship

Graduate Studies and Professional Development

Customer Analytics

Course Description

This course examines the tools, techniques, and strategies required to collect, manage, and analyze customer data. Specifically, participants will look at the role of data in understanding, driving, and improving customer acquisition, customer support, and customer retention. Leveraging a variety of customer touch-points, the course will look at customer segmentation based on customer needs, customer life cycle, and customer experience. Once completed, participants will be able to use customer analytics to better understand their customers’ behaviors and to make effective and profitable customer decisions.
This course is recommended as a precursor to the Data Visualization and Storytelling course in the Associate Certificate in Data and Marketing Analytics program.

Apply for a Scholarship

Professional Workshops

SFU Data Fellowships: Towards Responsible Machine Learning

  • Institution: SFU
  • Date: June 21-25, 9am-2:30pm each day
  • Course Page
Course Description

This part-time five-day course offers foundational Artificial Intelligence, Machine Learning (ML) and Data science concepts that are applicable in the humanities and social sciences. Together with SFU's Digital Democracies Institute, this course will have you examine best practices to critically evaluate and mitigate unwanted bias from sources such as data, algorithms or users. Through collaborative hands-on labs guided by SFU experts, you will come away with the kind of data science experience and knowledge that organizations and recruiters value.

Apply for a Scholarship

SFU Data Fellowships: AI Essentials

  • Institution: SFU
  • Date: April 26-29, 2021 | 9am-1pm PST each day
  • Course Page
Course Description

This part-time, week-long course offers foundational data science and AI concepts that can be directly applied to your work and organization. Designed and taught by leading data science and AI experts at Simon Fraser University, this online interactive course offers a hands-on learning environment, enabling you to immediately apply concepts and techniques you learn with live feedback and guidance from instructors. You will come away with the kind of data science experience and knowledge that organizations and recruiters value.

Apply for a Scholarship

Microsoft Sponsored Global Knowledge Courses

Microsoft Azure AI Fundamentals (AI-900T00)

Course Description

New – This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

Apply for the Course and Microsoft Sponsorship

Microsoft Azure Fundamentals (AZ-900T01) - sponsored by Microsoft and provided by Global Knowledge

Course Description

This one-day course will provide foundational level knowledge on cloud concepts; core Azure services; security, privacy, compliance, and trust; and Azure pricing and support.
This course is a high-level overview of Azure. It will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure.

For further details about this course, please visit:

Apply for the Course and Microsoft Sponsorship

Microsoft Azure Fundamentals (AZ-900T01) - sponsored by Microsoft and provided by Global Knowledge

Course Description

This one-day course will provide foundational level knowledge on cloud concepts; core Azure services; security, privacy, compliance, and trust; and Azure pricing and support.
This course is a high-level overview of Azure. It will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure.

For further details about this course, please visit:

Apply for the Course and Microsoft Sponsorship

Eligible courses will be displayed on the Athena Pathways website and updated regularly.

There are a limited number of scholarships available, and as such, are not guaranteed to all applicants. Completion of an application form along with proof of successful completion of your
course/workshop will be required as part of the application process.