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

Undergraduate Studies

CMPT 419 - Special Topics in Artificial Intelligence ‐ Affective Computing

  • Institution: SFU
  • Date: May 11 - August 21, 2020
  • Course Page
Course Description

Emotions play a central role in our daily lives as humans. The field of affective computing studies how emotions can have a major impact in the construction of interactive, intelligent agents and interfaces. This course will cover topics in affective computing as follows. First, theories and models of emotion (including core affect, mood, feelings) from psychological, neuroscientific and computational perspectives will be reviewed. Secondly, we will study techniques for automatic perception of human internal state, including using machine learning to understand sentiment using modalities such as gaze, posture, speech, text, movement and music. Thirdly, synthesis and expression of emotion and empathy in virtual agents, robots, chatbots and synthetic characters will be explored. Finally, we will delve into the implementation of emotion theories, including how to use the above techniques to make more believable, effective, enjoyable, and useful intelligent interactive systems.

Apply for a Scholarship

COMP 7405 - Topics in Computer Programming – Artificial Intelligence

  • Institution: BCIT
  • Date: September 16- December 9, 2020
  • Course Page
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

CMPT 983 - Special Topics in Artificial Intelligence ‐ Affective Computing

  • Institution: SFU
  • Date: May 11 - August 21, 2020
  • Course Page
Course Description

Emotions play a central role in our daily lives as humans. The field of affective computing studies how emotions can have a major impact in the construction of interactive, intelligent agents and interfaces. This course will cover topics in affective computing as follows. First, theories and models of emotion (including core affect, mood, feelings) from psychological, neuroscientific and computational perspectives will be reviewed. Secondly, we will study techniques for automatic perception of human internal state, including using machine learning to understand sentiment using modalities such as gaze, posture, speech, text, movement and music. Thirdly, synthesis and expression of emotion and empathy in virtual agents, robots, chatbots and synthetic characters will be explored. Finally, we will delve into the implementation of emotion theories, including how to use the above techniques to make more believable, effective, enjoyable, and useful intelligent interactive systems.

Apply for a Scholarship

Professional Workshops

SFU Data Fellowships: AI Essentials

  • Institution: SFU
  • Date: July 13 - July 17, 2020
  • Course Page
Course Description

Data Fellowships is a part-time, week-long course that offers foundational data science and AI concepts that can be directly applied to your work and organization. Designed and taught by leading Big Data and AI experts at Simon Fraser University, Data Fellowships offers a hands-on learning environment. This enables you to immediately apply concepts and techniques you learn with live feedback and guidance from SFU instructors.

Apply for a Scholarship

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

K-12 Courses and Workshops

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.