AI for Growth Workshops

AInBC, together with Northeastern University, is offering 2-day AI for Growth workshops across Canada designed for startups that have little knowledge, experience or expertise in AI, machine learning and automation but are planning to implement AI in their research and commercialization journey. The workshop will help participants create strategies for effective technology development and ethical treatment of customer data. Participating companies will be able to grow their organizations faster by avoiding AI pitfalls and developing robust platforms for the long term.

Participants will learn about:

  • common types of AI, including optimal uses and limitations

  • key principles for scoping out and getting started with AI projects

  • hiring strategies

  • how to collect and manage data ethically and in compliance with applicable legislative regimes

  • where to find resources for the research and funding of AI initiatives

We have two options for you or your company to join this workshop. You can participate as an IRAP Client, or participate through Scale.AI Funding:

Participate through Scale AI Funding

AInBC has partnered with ISAIC to deliver the program in Alberta and with EMILI to deliver the program in Manitoba.

Individuals can sign up through this workshop through a funded grant provided by Scale.AI. The cost for individuals after applying the discount provided by Scale.AI is $450.

Scale AI participants, please fill out the form below for registration.

The next upcoming date for this workshop is TBD



Participate as an IRAP Client

Companies who are currently an IRAP client can sign up for this workshop. With NRC IRAP's support the cost to firms is $175 plus tax for up to two workshop participants, a 90% discount from the normal $1,826 price.

For more information on becoming an IRAP client and to learn more about this program please call NRC IRAP toll-free at 1-877-994-4727.

IRAP clients please email norma@ainbc.ai for registraion.

Additional Information

We will be in contact with you regarding upcoming workshop dates after you have submitted the above form.

Workshop Payments: Once you have determined which course date you would like to attend, invoices will be sent out via PayPal. 

If you have any questions including dates of upcoming courses, please reach out to AInBC’s Administrative Manager Norma Sheane: norma@ainbc.ai

 

Facilitator Biography’s

Dr. Bethany Edmunds is a recognized leader in Computer Science and STEM education in North America. She has a Ph.D. in Computer Science, with a specialization in Artificial Intelligence, and is currently Director of Computer Science and lead faculty at Northeastern University’s Vancouver campus. Bethany is passionate about breaking down barriers to create greater diversity, access and inclusivity within the technology community. She brings together expertise in software development, machine learning, and educational innovation to create STEM opportunities for people of all backgrounds and abilities. Dr. Edmunds has been named one of BC Business's Most Influential Women in STEM, Business in Vancouver's Forty under 40, and YWCA’s Women of Distinction.

Krista Richmond is the Senior Development Director, Analytics at Electronic Arts, is a Board Member for the Women in Communications and Technology Association and is currently completing her studies in Strategy and Innovation from MIT.  Previously, Krista implemented AI and machine learning solutions in the cleantech industry, spanning utilities, manufacturing and regulation.  Designing, leading and implementing digital and data monetization products and implementing corporate innovation programs has led to hands-on experience with emerging technology including AI, IIoT, and AR/VR. 

Jonathan Mwaura received his Ph.D. in Artificial Intelligence and Robotics from the University of Exeter, the UK, in 2012. Jonathan’s expertise lies in the use of Nature-inspired Computing techniques (e.g., Neural Networks, Evolutionary Computation, and Swarm Intelligence) and in solving problems in data science, mathematics, and robotics.