For Students and Displaced Workers
Cohort-based learning built on the Mastering Agentic AI Systems series, emphasizing:
How AI agents plan, reason, and use tools
Designing safe, multi-agent workflows and guardrails
Evaluating agent behavior and debugging failure modes.
These bootcamps are designed for people without elite math or CS backgrounds but with the motivation to learn practical, job-relevant skills.
Hands-on support for workers navigating AI-driven job changes, including:
AI-assisted resume and portfolio building
Guided projects that showcase agentic AI skills in realistic scenarios
Basic literacy in security and governance so graduates can be trusted stewards of AI in their next role.
For Nonprofits & Small Organizations
Lightweight, supervised AI agents that handle routine research, drafting, and analysis tasks—such as summarizing reports, generating outreach drafts, and organizing program data—within clear safety and privacy boundaries.
Outcomes we design for:
Time back to staff for direct service and community relationships
Less spreadsheet and reporting overhead
AI use that complies with emerging governance expectations and your own values
Short, focused engagements that help small organizations:
Identify realistic AI use cases aligned with mission (not hype)
Draft simple, values-aligned AI acceptable use policies and data safeguards
Understand where multi-agent or autonomous workflows might introduce new risk and how to manage it.
Workshops based on our MAS security research that translate complex concepts—like non-determinism, tool-chain risk, and inter-agent trust—into concrete patterns nonprofits and small orgs can use when selecting vendors or platforms.