Application Form: Machine Learning Foundations 1 & 2 by Amii
DEADLINE: SEPTEMBER 30, 2021
$500 ScHolarship
This scholarship is intended to support entrepreneurs and small businesses in the East Central Alberta region. The goal is to enhance knowledge and skills applicable to business operations. The Machine Learning (ML) 1 & 2 sessions are recommended for users from management to technical staff to ensure a common language and understanding of ML.
Selected participants will receive a bursary equal to 100% of the registration costs for the Machine Learning Foundations 1 & 2 courses ($500). Only successful candidates will be contacted.
ML Foundations 1:
Examine the dimensions of data, people, strategy, and tools through the AI lens in this two-day course. Participants will learn about the machine learning (ML) process, how to define a ML problem, as well as the social and ethical concerns around AI. This session is recommended for all learners to ensure a common language and understanding of ML.
Date: Thursday, October 7, 2021
Time: 9:00am - 12:00pm MST
Where: Virtual via Zoom
ML Foundations 2:
The second day is a more technical focus exploring data considerations when undertaking a ML problem definition, as well as understanding data needs, proxies, and the Machine Learning Process Lifecycle.
Date: Thursday, October 14, 2021
Time: 9:00am - 12:00pm MST
Where: Virtual via Zoom
About Amii
The Alberta Machine Intelligence Institute (Amii) is one of Canada’s three centres of AI excellence that make up the Pan-Canadian AI Strategy. We are a non-profit institute that supports world-leading research in artificial intelligence and machine learning; furthermore, we specialize in translating this scientific advancement into applied industry adoption. Amii grows AI capabilities through advancing leading-edge research, delivering exceptional educational offerings, and providing business advice – all with the goal of building in-house AI capabilities.
Thank you for your interest in the Machine Learning Foundations 1 & 2. All successful candidates will be emailed within two weeks of application submission.