Curated sequences of modules. Pick one and follow it in order — each trail builds a coherent slice of AI literacy.
Five modules of foundational AI literacy. Start here if you're new to using AI. About 70 minutes; you'll finish able to use AI well in your work.
A survey of the major AI platforms, tools, and how to operate an autonomous agent. Use this to get oriented before picking a platform to dig into.
How an organization governs AI use across the people, the policies, and the regulators. About 70 minutes per module when complete; Module 1 covers the operating frame the rest of the trail hangs on.
A focused tour of using Cowork and Claude Code as a single agentic stack. Start with Cowork for accessibility, drill into Claude Code, then learn when to reach for which and how to compose them for design-and-build work. Best after the AI Platforms Tour.
Trails in design — shape and module list firming up. Linked trail pages will appear here as each ships.
How an organization brings AI literacy to its people — curriculum design, rollout cadence, manager enablement, and the capstone rollout plan.
For engineers and technical practitioners shipping agentic systems — prompt patterns, retrieval, evals, and a capstone agentic-RAG pilot.
The shared implementation core every operator needs: tool selection, workflow design, verification rituals, and handoff discipline.
Surface-specific implementation depth: chat, code, browser, file-reading, and connector workflows with the calibration each surface demands.
Proving the program works: bias audits, red-teaming, conformity assessments, model cards, evidence packets, and the AIGP/AAIA credentialing landscape.
Build playbook for the Aug 2, 2026 high-risk deadline: risk-tier classification, FRIA, GPAI duties, ISO 42001 AIMS, and a harmonized evidence base.
Individual-altitude governance literacy: AI Bill of Rights, EU/state consumer protections, policy reading, disclosure, deepfakes, and escalation playbooks.