Dive into the field of AI and gain the knowledge you need to lead your organization’s AI adoption strategy. Improve your technical literacy, understand the risks and rewards of AI projects, and prepare to manage technical teams.
Combine your executive experience with AI strategies to create business solutions across industries such as health, finance, oil & gas and supply chain.
Modern businesses recognize the transformative power of AI but are also facing a severe shortage of skilled workers. Often conversations around the AI talent shortage focus on technical skill-sets. Still, there are massive opportunities for those that can see the potential to deploy AI, make the business case and execute AI projects with interdisciplinary teams.
We take a project-based and blended learning approach to training with lectures, programming labs and group work.
Gain management skills and understanding at all stages of AI adoption.
Brainstorm ideas, learn foundational skills, understand use cases, and experience integrating and cleaning various data sources.
Gain confidence in knowing what AI can and can’t do. Learn how to translate a business problem into ML questions.
Identify the advantages and disadvantages of build, buy and partner models of AI adoption.
Learn how to evaluate the business performance of the model in a proof of concept.
Prepare for the change management process required for workflow integration.
Understand ethical issues, relevant laws and regulations regarding data and ML.
Learn how to build and maintain the culture and processes required to support data as a critical driver of organizational goals.
Identify social and ethical impacts to monitor as you deploy AI.
Understand your role in shaping public law and policy for societal good.
Identify how technology interacts with the broader social environment.
Prepare to partner with academics on industry-sponsored research.
The AI Adoption Spectrum is foundational to our work. Learn more about how we work, and the role we can play in your personal AI adoption journey.
8-week Online Course
Gain the knowledge, skills and tools you need as a business leader as you look to adopt AI as a competitive advantage for your organization. Developed with non-technical managers and executives in mind, the AI Strategy and Management course takes a project-based approach giving graduates the ability to draft an AI adoption strategy, identify opportunities to apply AI in their organization, and interact with and manage technical teams.
Our next session of AI Strategy and Management is on offer through NAIT Continuing Education from September 21 - November 16, 2021.
One-Day Facilitated Workshop
Gain a high-level overview of applied machine learning using real-world cases in this live online workshop. We will discuss the machine learning process, how to define a machine learning problem and social and ethical concerns around AI. This session is recommended for all stakeholders -- from users to management, as well as technical staff -- to ensure a common language and understanding of ML.
One-Day Facilitated Workshop
Taking a more technical focus, this live online workshop will explore data considerations when undertaking ML problem definition, as well as understanding data needs, proxies and the Machine Learning Process Lifecycle.
Jul 16th 2021
News
The 2021 AI4Good Lab has now concluded! The first Edmonton-based cohort produced 26 alumni and 6 prototypes.
Jun 28th 2021
News
Amii is now accepting applications for the Machine Learning Technician Certification, which runs from September 21 to November 18, 2021!
Apr 27th 2021
News
The CIFAR-OSMO AI4Good Lab, one of Canada's machine learning training programs for women, announces its partner list of organizations who are leading the advancement of diversity and inclusion in AI.
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