• Explain the physical infrastructure and resource demands of AI.
• Differentiate training and inference costs for smarter usage decisions.
• Identify high-ROI AI applications and avoid low-value waste.
• Construct precision prompts to reduce retry rates and compute load.
• Apply model-selection frameworks to match tasks with appropriate resources.
• Evaluate sustainability claims using recognized standards and criteria.
• Design governance policies that promote responsible AI consumption.
• Implement practical measurement systems for AI efficiency tracking.
• Lead cultural adoption of mindful AI practices organization-wide.
• Anticipate emerging trends and risks to future-proof sustainability strategies.

• The physical infrastructure of cloud AI
• Training vs. inference economics
• High-ROI vs. low-value AI use cases
• Precision prompting and reducing computational waste
• Model selection and right-sizing frameworks
• Evaluating vendor sustainability claims
• Governance policies for responsible AI usage
• Practical measurement systems and efficiency dashboards
• Cultural change and mindful AI adoption
• Emerging trends, regulations, and ethical risks

Live webinars have varying levels of expected interaction, with some requiring microphone and camera capabilities to support a proper learning experience – please email pdreg@bccpa.ca if you have concerns. 

In general, we encourage participants to have their cameras turned on to enhance their virtual learning experience. This practice promotes a stronger connection with the instructor and fellow participants, and fosters improved communication and collaboration.

Live Webinar FAQs can be found here.  

Registration terms and conditions, including the cancellation policy can be found here. If you require further assistance, please contact the PD Department.