The Pillar Institute · named program
Training — longer-form AI fluency.
AI Labs is the 5-day activation. Training is the curriculum: 6-12 weeks of structured AI fluency for teachers becoming trainer-of-trainers, civil servants integrating AI into government workflows, university faculty preparing the next generation, workforce cohorts building real capability.
The curriculum.
Training is the longer-form companion to AI Labs. Where AI Labs activates broadly across a cohort in five days, Training builds depth across 6-12 weeks — structured curriculum, weekly cohort sessions, project-based application, capability assessment at intervals.
The curriculum modules cover: AI capability fundamentals (what models can and can’t do, why models behave the way they do), prompt structure and evaluation, multi-step agentic workflows, domain-specific application (education, government, workforce, journalism, healthcare), ethical considerations, sector-specific safety practices, and trainer-of-trainers methodology so cohort graduates can extend the work in their institutions.
Who Training is built for.
Teachers becoming trainer-of-trainers.
Educators who will extend AI fluency to their colleagues and students. The curriculum includes pedagogical methodology, not just AI tool fluency.
Civil servants integrating AI into workflows.
Government cohorts learning to use AI in policy analysis, public communication, administrative work, citizen-facing services. Includes sector-specific safety practices.
University faculty preparing curriculum.
Academic cohorts integrating AI into syllabi, assessment, research methodology, and student-facing work. Trainer-of-trainers dynamics adapted to higher-ed.
Workforce cohorts building real capability.
Industry workers in fields being reshaped by AI — legal, healthcare, journalism, accounting, software development, design. Curriculum tuned to sector.
Same economic model as AI Labs.
Sponsor-funded, beneficiary-owned. Foundations, corporate CSR, family offices, multilaterals, and government procurement fund the cohort; beneficiaries attend free. The longer Training duration (6-12 weeks vs AI Labs’ 5 days) reflects deeper engagement per participant; sponsor budgets scale accordingly.
Many institutional partners run a sequenced engagement: AI Labs first to activate a broad cohort, then Training for the high-fluency subset to build trainer-of-trainers depth. Pillar can structure the sequenced engagement as a single scoping conversation.
Training FAQ.
How is Training different from AI Labs?
AI Labs is 5 days of mass activation across a cohort. Training is 6-12 weeks of longer-form curriculum building depth in a smaller working cohort. AI Labs activates broadly; Training builds the trainers-of-trainers and the deep-fluency operators who extend the work after the cohort closes.
What languages can Training run in?
Spanish, English, and French at full scale. Filipino/Tagalog, Swahili, and Portuguese with active capacity. Indonesian and Javanese forming. Indigenous languages depend on the specific partnership.
Can our institution run AI Labs and Training as a sequenced program?
Yes — this is a common engagement pattern. AI Labs activates a broad cohort (50-500 participants); Training extends the high-fluency subset (10-50 participants) into deeper capability and trainer-of-trainers work. The combined engagement gives both breadth and depth from a single scoping conversation.
What does completion look like?
Each Training cohort graduates with: (1) a capability assessment showing where each participant started and where they ended, (2) a portfolio of completed builds and applied work, (3) a trainer-of-trainers certification for cohort members extending the work to their institutions, (4) a closing partnership memo summarizing what was learned, what worked, and what extends.
Is there a follow-up beyond the 6-12 weeks?
Yes — institutional partnerships often extend through additional cohort waves, ongoing trainer-of-trainers support, periodic capability refreshes (the AI capability landscape moves fast and last year’s fluency becomes this year’s baseline), and connection back to AI Labs for the next broad-activation wave.