One of Canada’s three National Institutes for artificial intelligence technologies recently unveiled a new track for its upskilling program.
The Alberta Machine Intelligence Institute introduced a “Technical Track” as an expansion of its recent “AI Pathways: Energizing Canada’s Low-Carbon Workforce” initiative.
Designed for software and computer science professionals, the Technical Track focuses on deep implementation with Python-based curriculum.
The Technical Track is a “unique opportunity for any technical professional with knowledge in Python looking for authentic, applied AI experience,” suggests Adam Danyleyko, Product Owner, Training at Amii.
Supported by the Government of Canada’s Sectoral Workforce Solutions Program, Amii’s three-year initiative will provide 6,000 Canadian energy workers with scholarships for AI skills “required to lead in a transitioning economy,” according to Patty Hajdu, Minister of Jobs.
“Canada’s future depends on skilled workers,” she says. “Investing in their talent ensures they can adapt and succeed in an energy sector that’s changing faster than ever.”
“Not only does it help empower energy workers with essential in-demand skills, but it also supports our transition to a low carbon economy,” Hajdu continued. “By building a workforce that is ready to seize new opportunities, we are creating opportunities that will benefit all Canadians.”
Upon completion, all project work will be embedded into a blockchain-verified digital credential to provide secure evidence of specialized skills that is shareable with employers, according to Danyleyko.
“By learning alongside Amii’s experts and completing a technical capstone, participants earn a verifiable and prestigious recognition that translates their hands-on capstone experience into a permanent proof point for their careers,” he said.
With demand “outpacing expectations,” Amii Chief Revenue Officer Marlene McNaughton noted that “all of our available scholarships for this Technical Track for our upcoming year.”
“The excitement and enthusiasm for this specialized training has really proven how ready the energy industry and low-carbon workforce are for practical AI and machine learning training,” said McNaughton.
