Generic AI learning tends to leave a team impressed but makes it hard to act on without specific examples, resources, or methodologies. This workshop encompasses these needs and works through AI tools, safe use and prompting against the actual work of your industry, with time set aside to practise.
AI in the Workplace: Learn, Adapt and Succeed with AI in Your Industry is our applied session for teams that want to leave with actionable skills. It identifies popular, useful AI tools; covers their ethical and security implications; teaches high-level prompting methods; and dedicates time to applying those methods with your team and to the AI workflow development process. It runs online or in person for two to four hours.
The session begins by identifying popular, useful AI tools and outlining their ethical and security implications. From there the workshop moves into high-level prompting methods, and then into the part that distinguishes it: dedicated time working with your team to apply those methods. People bring forward tasks they do routinely, and we work together to determine how AI can assist.
The final stretch introduces AI workflow development and explains how several tools and steps chain together into an effective and repeatable process. Content is catered to your industry wherever possible, and the two-to-four-hour range is set with you, based on group size and how much practice time the team needs.
We have delivered applied AI team training to trade associations, executive groups, land management and maintenance firms, non-profits and municipal-scale organizations, in sectors from construction to commercial property to community services.
Take a look at some of our engagements below, and explore how your organization could benefit
from a workshop engagement or a broader AI literacy initiative.
Tell us about your team and your industry, and we’ll confirm scope, length and format on a short call before anything is booked.
Our mission is to help Canadians learn, adapt and succeed with AI. Training that sits inside the work people already do is the most direct version of that: the same tasks, done with more skill, by a team that understands what it is using.
