Amii
One of Canada’s three centres of AI excellence as part of the Pan-Canadian AI Strategy, Amii (the Alberta Machine Intelligence Institute) is an Alberta-based non-profit institute that supports world-leading research in artificial intelligence and machine learning and translates scientific advancement into industry adoption. Amii grows AI capacity through advancing leading-edge research, delivering exceptional educational offerings and providing business advice – all with the goal of building in-house AI capabilities.
AI Career Exploration Badge
The AI Career Exploration Badge indicates the completion of 7 asynchronous online modules on career exploration and professional development for graduate-level technical talent, studying AI and ML.
Upon completion of the online modules, participants are able to:
- Develop a deeper awareness on the various careers opportunities in the ...AI Ethics 1 - Governance
This 3-hour live workshop is an opportunity for companies of all sizes to ensure their development and deployment of artificial intelligence (AI) models uphold the best practices in AI standards and governance. Participants will also gain hands-on experience by completing approximately 3 hours of asynchronous content to learn more about AI governance. ...AI Ethics 2 - Deployment
This 3-hour live workshop focuses on the practical aspects of mitigating risks in AI systems. Participants will also gain hands-on experience by completing approximately 3 hours of asynchronous content, including coding notebooks, to learn more about deploying AI models. Participants will learn to detect and mitigate bias and implement strategies to ...AI Governance Education Program
The AI Governance Education Program is a kicking-off point for an individual's journey toward responsible AI deployment and use. Through this workshop, participants learn how to: - Discuss the positive business impacts of adopting an ethical-by-design approach to AI adoption. - Identify particular areas and types of ethical risk within an organization, ...AI Professional Development Badge
The AI Professional Development Badge indicates the successful completion of 5 professional development sessions, tailored to support the professional and personal growth and success of graduate-level technical talent, studying AI and ML. Upon completion of the sessions, participants are able to: - Adopt best practices for career building and professionalism - ...AI4Good Lab
The AI4Good Lab provides training in foundational skills for machine learning and hands-on experience through team development of ML prototypes for social good. Upon completion of the program, participants are able to: - Define ML problems and data requirements - Pre-process data - Select and analyze best ML models and features for different problems - ...AI4Good Lab
The AI4Good Lab provides training in foundational skills for machine learning and hands-on experience through team development of ML prototypes for social good. Upon completion of the program, participants are able to: - Define ML problems and data requirements - Pre-process data - Select and analyze best ML models and features for different problems - ...AI4Good Lab
The AI4Good Lab provides training in foundational skills for machine learning and hands-on experience through team development of ML prototypes for social good. Upon completion of the program, participants are able to: - Define ML problems and data requirements - Pre-process data - Select and analyze best ML models and features for different problems - ...AI4Good Lab 2023
The AI4Good Lab provides training in foundational skills for machine learning and hands-on experience through team development of ML prototypes for social good. Upon completion of the program, participants are able to: - Define ML problems and data requirements - Pre-process data - Select and analyze best ML models and features for different problems - ...AI4Good Lab 2023
The AI4Good Lab provides training in foundational skills for machine learning and hands-on experience through team development of ML prototypes for social good. Upon completion of the program, participants are able to: - Define ML problems and data requirements - Pre-process data - Select and analyze best ML models and features for different problems - ...
