Applied AI Workshops
Students work inside scenario-based labs instead of reading static theory.
Simulation-first executive education
Learn AI wheredecisions have consequences.
Operate realistic systems. Defend your choices. Build judgment that survives outside the classroom.
AI with Georges turns responsible AI, HR transformation, and business strategy into instructor-led simulations built for serious learning environments.
4Active modules
3Simulation arenas
Human-ledLearning model
Built for classrooms and workshops
Turn AI from a topic into a decision-making practice.
Live workshop experienceView Programs
The room changes when every decision can be tested.
Participants do not watch AI happen from the sidelines. They enter realistic scenarios, make consequential choices, compare approaches, and explain the judgment behind their decisions.
Real workshop context
Instructor-led pressure
Human judgment
Actionable debriefs
Instructor-led AI classroom
Responsible Practice
Every module connects technical decisions to trust, governance, and human impact.
Instructor Controls
Access, cohorts, passwords, deadlines, and module locks stay manageable from one console.
Platform experienceSee Instructor Layer
One learning system from first challenge to final reflection.
Programs connect full-screen labs, controlled access, assignments, feedback, and analytics so the technology supports the teaching instead of distracting from it.
Full-screen sandboxes
Visible learning pathways
Structured feedback
Cohort-level insight
Connected AI learning system
Featured programs
Open ProgramsReal workshops, visible systems.
Enter simulation-led programs where participants practice under pressure, receive structured feedback, and leave with artifacts they can use at work.
Governance and workflow labs
AI in HR
Students practice AI adoption decisions, HR workflow design, prompt quality, and responsible review routines.
Safety and boundaries lab
AI and Mental Health
Participants explore multilingual AI support boundaries, crisis handoff logic, clinician support, and reflective design.
Teaching Method
A clear path from concept to confident practice.
The platform is organized around concrete scenarios, repeatable exercises, and reflection loops that help students reason about AI systems with professional judgment.
01
Brief
Frame the business problem, stakeholders, constraints, and AI risk profile.
02
Experiment
Use interactive sandboxes to test prompts, workflows, and decision paths.
03
Reflect
Review consequences, compare tradeoffs, and connect choices to policy.
04
Apply
Turn classroom simulations into reusable workplace practices and artifacts.
Instructor-controlled learning
Run the room. Shape the challenge. See the learning happen.
Control cohorts, access, assignments, reviews, and progress without pulling participants out of the learning experience.
Open Instructor PageIllustrative instructor console
Shared backendCohort control room
4Cohorts
12Locks
9Reviews
6Sessions
AI in HR
2 modules78%
AI and Mental Health
1 module42%
STRATFOOT Simulation
portalLive
Access
Start in the workspace your instructor configured.
Students sign in to see only their enrolled modules. Instructors can preview modules, manage accounts, assign homework, and control access from the dashboard.