Masterclass Series Overview
Live Webinar | 8 hours | 4 weeks | 8 CPE Credits
These courses are designed for the non-technical professional who wants to integrate AI tools and capabilities into their business but don't want to put their business, intellectual property or data at risk in doing so. These classes demystify AI for working professionals, help them to identify risk to themselves, their customers and their businesses and gives them the tools and framework to mitigate the AI risks while maxizing real, measurable AI ROI.
Four live 2-hour evening sessions, 6 to 8 p.m. CST
How humans and machines process information differently
Effective human-machine communication in real workflows
Structure prompts and interactions with the DCR and CO-STAR™ frameworks
Define scope and constraints with the SPACE™ framework
Context engineering and constitutional frameworks to govern AI behavior
Four live 2-hour evening sessions, 6 to 8 p.m. CST. Next cohort: November 11, 12, 16, and 19
Human Engagement Risks: automation bias, automation abuse, and anthropomorphism
Agents, agentic design, and the automation design spectrum
The DCR method for using AI to build with AI
Value system frameworks that shape machine decision-making at team, organization, and company level
Eight live sessions, 5 hands-on labs plus additional lab exercises, scenario-based Machine Behavior Labs, the MindfulAI™ Playbook, the Course Exercise Book, and access to Orunmila, Right AI™'s online AI Coach to practice what you learn!
Masterclass Series Overview
Live Webinar | 8 hours | 4 weeks | 8 CPE Credits
These courses are designed for the non-technical professional who wants to integrate AI tools and capabilities into their business but don't want to put their business, intellectual property or data at risk in doing so. These classes demystify AI for working professionals, help them to identify risk to themselves, their customers and their businesses and gives them the tools and framework to mitigate the AI risks while maxizing real, measurable AI ROI.
Four live 2-hour evening sessions, 6 to 8 p.m. CST
How humans and machines process information differently
Effective human-machine communication in real workflows
Structure prompts and interactions with the DCR and CO-STAR™ frameworks
Define scope and constraints with the SPACE™ framework
Context engineering and constitutional frameworks to govern AI behavior
Four live 2-hour evening sessions, 6 to 8 p.m. CST. Next cohort: November 11, 12, 16, and 19
Human Engagement Risks: automation bias, automation abuse, and anthropomorphism
Agents, agentic design, and the automation design spectrum
The DCR method for using AI to build with AI
Value system frameworks that shape machine decision-making at team, organization, and company level
Eight live sessions, 5 hands-on labs plus additional lab exercises, scenario-based Machine Behavior Labs, the MindfulAI™ Playbook, the Course Exercise Book, and access to Orunmila, Right AI™'s online AI Coach to practice what you learn!